Digital Communication Systems Research Articles

Implementation of an End-to-end Digital Communication System

Implementation of an End-to-end Digital Communication System

Promoting effective interprofessional collaborative practice in the primary care setting: recommendations from Queensland physiotherapy private practitioners.

Physiotherapy private practitioners represent a growing proportion of Australia's primary care workforce; however, they face significant barriers in integrating seamlessly within interprofessional teams. Historically, the landscape of primary care in Australia has been one where many physiotherapists work in monoprofessional private practice facilities at dispersed locations, potentially limiting collaborative and coordinated care. The aim of this study was to investigate strategies recommended by physiotherapists to promote effective interprofessional collaborative practice (IPCP) within the Australian private practice setting. Using interpretive description as the guiding methodological framework, semi-structured interviews were conducted with 28 physiotherapists in 10 private practice sites in Queensland, Australia. Data analysis produced three themes that characterised physiotherapy private practitioners' recommendations to improve IPCP: (a) the need for improved funding and compensation, particularly addressing the limitations of the Medicare Chronic Disease Management program; (b) the development of integrated and secure digital communication systems to facilitate better information exchange; and (c) prioritising professional development and training to enhance collaboration. This research lays the groundwork for informed policy making to advance person-centred care and support the integration of services in the Australian healthcare system. The findings from this study indicate that promoting effective IPCP in physiotherapy private practice requires a comprehensive strategy that addresses systemic funding and compensation issues, enhances digital communication systems and optimises interprofessional education and training.

СТРАТЕГІЧНЕ ПАРТНЕРСТВО УКРАЇНИ ТА ТУРЕЧЧИНИ У ВІЙСЬКОВО-ТОРГОВЕЛЬНІЙ СФЕРІ

The relevance of the research topic arises from the fact that international military-technical cooperation is an important prerequisite for the ability of modern Ukraine to defend itself against Russian military aggression and to protect the sovereignty and independence of Ukraine. The article presents a retrospective analysis, institutional aspects, and the current state of cooperation between Ukraine and Turkey in the military-technical sphere. This article aims to assess the priority directions of military-technical cooperation between Ukraine and the Republic of Turkey in the conditions of the active phase of the Russian-Ukrainian war and to identify the directions for developing this cooperation, taking into account the significant potential of the Ukrainian defense industry. This article is based on the statistical and analytical materials in the domestic and foreign specialized literature, data from international organizations, and analytical and expert centers. During the research, the methods of analysis and synthesis, comparison, grouping, and systematization, as well as elements of the institutional approach, were used. The research results show that Turkey's status, as one of the most important strategic partners of Ukraine in national security matters, is caused by its long-term support in the military-technical field, assistance in unblocking the maritime export routes for Ukrainian grain in the Black Sea, and the implementation of important humanitarian projects. The list of military goods for actual cooperation such as the production of engines, unmanned combat aircraft, digital communication systems, precision weapons, radar systems, and others has been identified. The potential of further intergovernmental cooperation, which will support the strengthening of the export capacities of both countries in the global arms market, was revealed. It was identified that Ukraine's strategic cooperation with Turkey, as one of the most active players in the modern geopolitical environment, can strengthen the ability of our countries to consolidate international forces in support of its aspirations to protect its independence. Prospects for further research may relate to the disclosure of areas of potential cooperation in the conditions of the post-war revival of the Ukrainian economy, Turkey's support for our country's accession to NATO, and the assessment of opportunities for the formation of production and supply chains through the format of international strategic alliances with the participation of Ukrainian and Turkish companies to promote the latest high-tech weapons models in international markets.

A New Method for Intelligent Multimedia Compression Based on Discrete Hartley Matrix

Multimedia data (video, audio, images) require storage space and transmission bandwidth when sent through social media networking. Despite rapid advances in the capabilities of digital communication systems, the high data size and data transfer bandwidth continue to exceed the capabilities of available technology, especially among social media users. The recent growth of multimedia-based web applications such as WhatsApp, Telegram, and Messenger has created a need for more efficient ways to compress media data. This is because the transmission speed of networks for multimedia data is relatively slow. In addition, there is a specific size for sending files via email or social networks, because much high-definition multimedia information can reach the Giga Byte size. Moreover, most smart cameras have high imaging resolution, which increases the bit rate of multimedia files of video, audio, and image. Therefore, the goal of data compression is to represent media (video, audio, images, etc.) as accurately as possible with the minimum number of bits (bit rate). Traditional data compression methods are complex for users. They require a high processing power for media data. This shows that most of the existing algorithms have loss in data during the process of compressing and decompressing data, with a high bitrate for media data (video, audio, and image). Therefore, this work describes a new method for media compression systems by discrete Hartley matrix (128) to get a high speed and low bit rate for compressing multimedia data. Finally, the results show that the proposed algorithm has a high-performance speed with a low bit rate for compression data, without losing any part of data (video, sound, and image). Furthermore, the majority of users of social media are satisfied with the data compression interactive system, with high performance and effectiveness in compressing multimedia data. This, in turn, will make it easier for users to easily send their files of video, audio, and images via social media networks.

Применение метаматериалов в антенных устройствах цифровых систем связи

The possibility of application of metamaterials in the design of microwave antennas is investigated on the basis of foreign and domestic sources. The unique properties of metamaterials can find a wide application in ultrahigh frequency technology, as they allow to obtain devices with improved characteristics and extended functionality. Various variations of microstrip antenna devices that meet modern requirements for optimisation of dimensions and improvement of radiation parameters are simulated using CST Software. The following structures are considered: split ring resonator (SRR) and complimentary split ring resonator (CSRR). The possibility of application of the investigated antennas in Wi-Fi 6E standard, hence, in Internet of Things applications, as well as in other digital communication systems of new generation is shown.

Enhanced ACO in clustering algorithm for QoS in WSN enabled IoT

Various sensor nodes whose deployment is done in a random way are included in Wireless sensor networks (WSN) within a region for gathering the information out of the respective atmospheres as well as forwards it towards the Base Station (BS). Constrained sources of energy are allotted to the WSN nodes. The consumption of energy of nodes must be reduced for obtaining the enhanced lifetime of the network. Clustering is referred as a technique that reduced the consumption of energy in WSNs. By transmitting the gathered data to the sink through the Cluster Head (CH) nodes located within the clustered networks, the energy of the node can be saved. In WSNs, fault tolerance is a significant issue to consider. The entire data communication system can be rendered inoperable by the failure of just one cluster head. Within the scope of this research, a cluster-based routing method with fault tolerance is provided. The purpose of this study is to present an innovative technique for increasing tolerance of failure and data accumulation in clustered WSN by making use of backup CHs and improving the relay node selection mechanism by modifying ACO. The selection of the backup cluster head is what allows for fault tolerance in this case (BKCH). The method can be broken down into two distinct stages. In the first step, the network is categorized into clusters; in the second step, CHs and BCHs are chosen from the pool of candidates. Communication within the cluster takes place between the member nodes and the CH nodes. Aggregator nodes (AG) are utilised for the purpose of inter-cluster communication, and the modified ACO is utilised to determine which node serves as the most effective relay between CH and AG. When compared with other energy-conserving protocols, this technique uses less energy while increasing fault resilience and PDR.

Rancang Bangun Prototipe Home Automation Menggunakan Teknologi Internet Of Things

Internet of Things (IoT) technology is often used to monitor and control electronic equipment remotely using the internet. The implementation of Internet of Things technology can be applied to home automation. The implementation of IoT in a home automation system (home automation) can be used to control home lights, home temperature, and electronic plates in the home, and it can even be used to determine the whereabouts of home occupants. In this research, we will create a home automation prototype with the Internet of Things concept, which can be built using the NodeMCU module integrated with a web application. The data communication system in home automation will communicate with the MQTT server and can send data (publish) and receive data (subscribe). The home automation system can carry out manual or scheduled monitoring and control. It can provide notifications whenever a change in the condition or status of the device is being monitored or controlled. Changes in conditions can also occur through sensor readings connected to the NodeMCU module.

An integrated, holistic, evidence-based, interdisciplinary approach to digital monitoring and remote care in patients with highly infectious diseases: TeleCovid.

During the first waves of the SARS-CoV-2 pandemic, hospitals were overrun with patients. To cope with this high influx of infectious patients, hospitals needed to postpone elective care. Additional ICU beds had to be opened, and the number of isolation units had to be increased. All of this placed considerable strain on the nursing and medical staff. At that time, the idea was launched to keep as many patients as possible at home and prevent their hospital admission through the use of a remote care program. Based on our previous experience with transmural care programs, we quickly developed a digital monitoring program to track the health status of Covid-19 infected patients at home.
 Patients could be registered for follow-up by their primary care physician or specialist. After registration, patients received access to a secured digital platform. They first had to complete an extensive survey in order to identify their medical and surgical history, as well as the symptoms present at that time. The severity of symptoms was also evaluated at the moment of the initiation of the digital monitoring. On the basis of the responses to the introductory questionnaire, a global personalized risk score was compiled. After this initial step was concluded, the patient was contacted by the medical monitoring team to arrange for the delivery of telemetric devices (such as peripheral oxygen saturation). Patients were monitored through a 4-layer system, consisting of diaries, validated surveys, telemonitoring of vital signs, and a digital communication system included in the digital platform. This resulted in close cooperation with GPs, home nurses, physiotherapists, and other caregivers. The remote care team monitored the condition of the patients on a 24/7 basis. If needed, they contacted the home caregivers with specific demands or instructions (e.g. administration of oxygen at home, blood sampling, administration of medication). 
 In the spring of 2022, Paxlovid became available in Belgium for ambulatory treatment of Covid-19 symptoms in high-risk patients. It was quickly decided that we would also include the follow-up of Paxlovid treatment regimens within our care pathway. This created an entirely new approach to our remote monitoring since we had to tackle specific problems like drug-drug interactions but also therapeutic monitoring of certain specific drugs.
 
 TeleCovid was perceived as an integrated, comprehensive remote care program for Covid-19 patients. At first, this digital care program was perceived in such a way that we could prevent the hospitalization of Covid-19 patients. But very soon after its activation, GPs started to include patients so that they focus their attention and time on other patients. They could rely on the remote care program to be notified when the medical conditions of their patients deteriorated. The care program provided support and guidance to the patients AND their families so they felt safe while staying at home. We provided all possible care right at the home of the patients. This was only possible through intensive and continuing cooperation between many different healthcare providers, such as nurses, physiotherapists, social workers, GPs, and hospital specialists.

Optimized Design of an Ultrasonic-Based High-Efficiency Wireless Passive Monitoring System for Sealed Metal Compartments.

The condition monitoring (CM) of sealed metal compartments (SMCs) is an urgently required restructure. Ultrasound penetrates SMCs to power and communicate with built-in sensors, enabling the CM of SMCs. However, current ultrasonic wireless power transfer and data communication (UWPTADC) systems are large and complex, and limited by the efficiency of energy transfer and data reliability. In this paper, an optimized design of a high-efficiency wireless passive monitoring system using UWPTADC techniques is proposed for SMC. The circuit model of the system is developed and analyzed to achieve an optimal design for efficient wireless power transfer and effective data communication coupling. A test system was constructed using a steel wall of 11 mm thickness as a validation object. At the ultrasonic carrier frequency of 1.045 MHz, the system has an energy transfer efficiency of 60%, and a communication rate of 50 kbps. In addition, the system realizes temperature and humidity monitoring inside a 13 mm thick cylindrical SMC, simulating the process of ultrasonic CM of an actual engine compartment. The system provides a wiring-free and battery-free solution for CM in SMCs, advancing CM in aerospace, marine and other fields.

ESTIMATION OF PROBABILISTIC AND STATISTICAL CHARACTERISTICS OF THE INFORMATIONAL STATE OF A COMMUNICATION CHANNEL

The methods for determining the informational state of a communication channel based on the assessment of probabilistic and statistical characteristics of errors at the channel output are presented. Adaptive information protection methods in digital communication systems, where encoder parameters change depending on the channel state, require the use of network quality control methods based on determining the statistical characteristics of the channel. It is shown that the bit error probability in the channel is constant for the presented error generation process and is independent of the method of dividing information into code blocks. The methods for assessing the statistical characteristics of the channel are based on the topological representation of error generation processes over the length of code blocks. It is demonstrated that, with a fixed code sequence length and a constant bit error probability at the output of the information channel, different error distributions correspond to sets of n-sequences. With a known number of states in the likelihood transition matrix, calculation of observation intervals for counting erroneous blocks is proposed. The presented method of researching statistical characteristics, based on the assumption of error independence, allows for the development of algorithms and procedures for assessing the state of discrete communication channels. The evaluation of potential bounds and statistical characteristics for the decoding error probability enables establishing a connection between the topological characteristics of error sequence partitioning and code parameters. The work confirms that the proposed method allows the synthesis of algorithms for determining code parameters, whose numerical values are determined based on minimizing potential decoding error probabilities.

Fault Classification and Diagnosis Approach Using FFT-CNN for FPGA-Based CORDIC Processor

Within the realm of digital signal processing and communication systems, FPGA-based CORDIC (Coordinate Rotation Digital Computer) processors play pivotal roles, applied in trigonometric calculations and vector operations. However, soft errors have become one of the major threats in high-reliability FPGA-based applications, potentially degrading performance and causing system failures. This paper proposes a fault classification and diagnosis method for FPGA-based CORDIC processors, leveraging Fast Fourier Transform (FFT) and Convolutional Neural Networks (CNNs). The approach involves constructing fault classification datasets, optimizing features extraction through FFT to shorten the time of diagnosis and improve the diagnostic accuracy, and employing CNNs for training and testing of faults diagnosis. Different CNN architectures are tested to explore and construct the optimal fault classifier. Experimental results encompassing simulation and implementation demonstrate the improved accuracy and efficiency in fault classification and diagnosis. The proposed method provides fault prediction with an accuracy of more than 98.6% and holds the potential to enhance the reliability and performance of FPGA-based CORDIC circuit systems, surpassing traditional fault diagnosis methods such as Sum of Square (SoS).

Bayesian network model of aviation safety: Impact of new communication technologies on mid-air collisions

This article presents a method of estimating the risk of a mid-air collision. The proposed method is an enhancement of the traditional aviation safety model - Integrated Safety Assessment Model (ISAM) - developed by the Federal Aviation Administration (FAA) and EUROCONTROL. ISAM is a mix of event-based models and fault trees that identifies causes of 35 different types of aviation accidents. While useful for conceptual understanding of accidents, the model does not handle human-technical or inter-system interactions. These drawbacks are especially evident when assessing safety impact of new communication, navigation and surveillance technologies since they rely on pilots and controllers. We propose a method of analyzing the impact of new technologies in aviation by presenting a case study of the Data Communication system – a new technology developed by the FAA used for communication between pilots and controllers. The method builds upon ISAM and leverages a Bayesian Network to estimate safety risk. The results indicate that the implementation of Data Comm can reduce the risk of collision by 25 %. In addition, if a collision has occurred, it is 10 million times more probable that the likely culprit is an error in human communication rather than a failure of communication equipment.

Multi‐UAV path planning utilizing the PGA algorithm for terrestrial IoT sensor network under ISAC framework

AbstractThe integration of internet of things (IoT) technologies with unmanned aerial vehicles (UAVs) has initiated a groundbreaking revolution in data acquisition and communication systems across diverse domains. This document introduces an innovative endeavor, the integration of multi‐UAV path planning for integrated sensing and communication (ISAC) within ground‐based CAT‐M1 IoT sensor networks, accomplished through the application of the Pareto‐based genetic ant colony optimization (PGA) algorithm. The PGA algorithm is highly capable of UAV path planning due to its efficiency, adaptability, and seamless integration of domain expertise. By employing the PGA algorithm, we simultaneously minimize UAV travel distance while optimizing energy consumption, resulting in multi‐objective optimization. The synergy of ground‐based IoT sensors and seamless UAV communication, coupled with a convex optimization resource allocation algorithm, empowers real‐time data acquisition and heightens situational awareness. Our proposed UAV path planning PGA algorithm with resource allocation is crafted to maximize the efficiency of ground‐based sensor data acquisition. We stand at the forefront of advancing multi‐UAV data collection systems with this pioneering approach, promoting increased efficiency, robustness, and transformative solutions across diverse domains. The proposed system for ISAC achieves an impressive throughput of up to 95% of the system's capacity.

Graphene‐Based Silicon Photonic Devices for Optical Interconnects

AbstractThe exponential growth of global data traffic is driven by the unprecedented digitalization of the world. To meet the demands of next‐generation high‐capacity data communication systems, innovative solutions are required. Silicon photonics has gained significant attention due to its ability to integrate multiple core functions of optical interconnects into small‐scale chips, offering cost‐effective and scalable manufacturing capabilities. By leveraging silicon photonics, it becomes possible to address the challenge of scaling system complexity while reducing size, cost, and energy consumption. Despite its advantages, silicon has inherent limitations that restrict its application range, such as the weak plasma dispersion effect and relatively large bandgap. Recently, graphene has emerged as a promising solution for traditional silicon photonics because of its exceptional electrical and optical properties. For instance, graphene on a silicon chip enables nearly pure phase modulation and ultrafast photodetection beyond 500 GHz. Moreover, the demonstrated compatibility of graphene with wafer‐level integration paves the way for mass production of graphene‐based silicon photonic devices, offering improved yield, scalability, and cost‐effectiveness. In this work, a comprehensive review is provided, focusing on graphene‐based silicon photonic devices and their applications in optical interconnects, aiming to explore the potential of graphene in advancing silicon photonic technology.

Physical Layer Security for L-Band Digital Aeronautical Communication System with Interference Mitigation

As one of the main candidates for future civil aviation communications systems, the L-band digital aeronautical communication system (L-DACS) is expected to achieve secure and reliable transmission. Due to the broadcasting nature of air–ground wireless links, the L-DACS has the risk of being intercepted by malicious eavesdroppers, which negatively affects aviation communication security. In addition, because the spectrum of the L-DACS overlaps with the aviation distance measuring equipment (DME), the pulse interference caused by the DME signal may lead to the wireless link being more fragile and susceptible to wiretapping. In this paper, with a focus on enhancing wireless transmission security, we propose a comprehensive physical layer security (PLS) method for the L-DACS. The key to the proposed PLS method is restraining the transmission of the eavesdropper by injecting artificial noise into the transmitted signal while improving the transmission of the legitimate receiver through the adoption of pulse interference mitigation. First, to characterize the L-DACS in the secure scene, we derive the signal-to-interference-plus-noise ratio (SINR) of the legitimate receiver and any potential eavesdropper by constructing equivalent noise. Next, from the perspective of the information theory, we derive the closed form of the secrecy capacity of the L-DACS by employing the proposed PLS methods with three kinds of nonlinear interference mitigation: including ideal pulse blanking, peak threshold-based pulse blanking, and peak threshold-based pulse clipping. Finally, we compare and analyze different ways to enhance the secrecy capacity of the proposed PLS method using various interference mitigation methods.

Trustworthy Digital Representations of Analog Information—An Application-Guided Analysis of a Fundamental Theoretical Problem in Digital Twinning

This article compares two methods of algorithmically processing bandlimited time-continuous signals in light of the general problem of finding “suitable” representations of analog information on digital hardware. Albeit abstract, we argue that this problem is fundamental in digital twinning, a signal-processing paradigm the upcoming 6G communication-technology standard relies on heavily. Using computable analysis, we formalize a general framework of machine-readable descriptions for representing analytic objects on Turing machines. Subsequently, we apply this framework to sampling and interpolation theory, providing a thoroughly formalized method for digitally processing the information carried by bandlimited analog signals. We investigate discrete-time descriptions, which form the implicit quasi-standard in digital signal processing, and establish continuous-time descriptions that take the signal’s continuous-time behavior into account. Motivated by an exemplary application of digital twinning, we analyze a textbook model of digital communication systems accordingly. We show that technologically fundamental properties, such as a signal’s (Banach-space) norm, can be computed from continuous-time, but not from discrete-time descriptions of the signal. Given the high trustworthiness requirements within 6G, e.g., employed software must satisfy assessment criteria in a provable manner, we conclude that the problem of “trustworthy” digital representations of analog information is indeed essential to near-future information technology.

Comparison of three-versus two-dimensional pre-operative planning for total hip arthroplasty

BackgroundA successful clinical outcome for total hip arthroplasty (THA) depends on accurate sizing and positioning of the implants. Using three-dimensional (3-D) pre-operative planning with a computerized tomography (CT) scan has many potential advantages over conventional 2-D planning using radiographs, including potentially more accurate assessments of the size and anteversion of the acetabulum, as well as lateral femoral offset. The purpose of this study was to compare the accuracy of 3-D to 2-D templating with respect to acetabular and femoral size, as well as lateral femoral offset. MethodsPre-operative templating data was collected prospectively from a consecutive series of 290 primary THAs (acetabulum on all, femoral component on 255 of the cases using one specific stem). All cases were initially templated on a digital imaging picture archiving and communication (PACS) system with calibrated images to estimate the acetabular size, femoral size, and lateral femoral offset. The 3-D templating was then performed with software based on a CT scan, and the results were compared to what was surgically implanted. ResultsThe 3-D templating for the acetabulum was accurate 99.7% of the time based on the final implanted component. The 2-D templating for the acetabulum was accurate 39% of the time, with 46% templating larger and 15% templating smaller than the final implanted component. The 3-D templating of the femoral component was accurate 63% of the time, and within one size of final implant in 96% of cases. The 2-D templating of the femoral component was accurate 53% of the time and within one size of final implant in 94% of cases. Lateral femoral offset consistently matched the 3-D plan, with a 100% match rate. The 2-D templated femoral offset was accurate 87% of the time and was changed in 13% of cases after 3-D templating. ConclusionThe CT-based 3-D preoperative planning was superior to 2-D planning for THA with respect to acetabular size, femoral size, and lateral femoral offset. Precise acetabular component sizing conserves bone and allows for a more predictable press fit, while facilitating efficient inventory management. Lateral femoral offset is often difficult to measure on 2-D images, and 3-D templating consistently allows for accurate offset restoration, which is important for normal hip function and stability.

Design of 4-bit absolute value detector with low energy

The article highlights the latest developments in the design of low-power 4-bit Absolute Value Detector (AVD) circuits that are utilized in digital signal processing (DSP) applications. DSP applications like audio and video processing, biological signal processing, and digital communication systems rely heavily on the AVD circuit, which determines the absolute value of an input signal. The article introduces a low-energy 4-bit AVD circuit based on pass transistors that incorporates advanced optimization techniques like adiabatic logic, approximation techniques, and layout optimization. This optimized AVD circuit achieves remarkable results in terms of power consumption and energy efficiency. With a power consumption of just 0.6 nW and an energy efficiency of 0.6 pJ per cycle, the circuit maintains precision and rapid response time. These advancements in AVD circuit design can be highly beneficial for portable and battery-powered devices such as earplugs, implants, and cell phones, as well as electronic components like Static Random Access Memory (SRAM) and motherboards. Overall, the proposed low-energy 4-bit AVD circuit is a significant development in the DSP field, enabling more efficient and effective processing of digital signals.

All optical modulation in vertically coupled indium tin oxide ring resonator employing epsilon near zero state

We present an innovative approach to achieve all-optical modulation within an ITO-based vertically coupled ring resonator. This method leverages the material's enhanced nonlinear response in the near-infrared wavelengths, particularly within the epsilon-near-zero (ENZ) state. To enhance the interaction between light and the material while minimizing scattering losses, our approach employs an ITO-based vertically connected ring resonator. The vertical arrangement eliminates the need for etching fine gaps to separate the ring and bus waveguide. The novel waveguide design addresses the necessity of high sensitivity, non-linear effects and compact size opening the possibilities for all-optical signal processing. This unique resonator structure effectively facilitates the coupling of a high-intensity pump wavelength into the ITO-based micro-ring resonator. Consequently, this optical pumping induces electron heating within the ITO material, leading to a significant increase in its nonlinear optical properties. This, in turn, results in a noteworthy alteration of ITO's refractive index, specifically in the unity order, thereby modifying the complex effective index of the optical beam propagating at 1550 nm. Our experimental findings demonstrate an impressive extinction ratio of 18 dB for a 30 µm long device, which highlights the efficiency of our approach in achieving all-optical modulation through the optical pumping of an ITO-based vertically coupled ring resonator. The proposed all-optical modulator has outperformed as compared to conventional waveguide-based modulators in terms of extinction ratio and footprint. This novel technique holds immense potential for advancing high-speed data communication systems in the future. As the demand for advanced processing capabilities, such as artificial intelligence, continues to grow, all-optical modulation emerges as a groundbreaking technology poised to revolutionize the next generation of computing and communication systems.

A decision feedforward channel equalization system based pseudo affine projection (DFE-PAP) algorithm

This paper addresses the problem of channel equalization in the context of digital communication systems. The important problem in these systems is the inter-symbol interference (ISI) that distorts the signal quality. In this work, we propose a new adaptive equalizer based on a pseudo affine projection technique to equalize the channel. The proposed equalizer uses multi-pseudo affine projections of the channel output to update the filter equalizer. Our proposed solution uses the Decision Feedforward Equalization (DFE) structure to eliminate the ISI and accelerate the convergence speed by the multi-projection technique. Our proposed equalizer is noted DFE-PAP (Decision Feedforward Equalizer based Pseudo Affine Projection). We have done intensive experiments to evaluate the performance of the proposed DFE-PAP equalizer even in the case of dispersive channels. We have used objective and subjective criteria to compare the proposed DFE-PAP with the classical DFE Normalized Least Mean Square (DFE-NLMS) equalizer. All the obtained results show the good performance of the proposed equalizer.