Digital Decoder Research Articles

Nonlinear optical encoding enabled by recurrent linear scattering

AbstractOptical information processing and computing can potentially offer enhanced performance, scalability and energy efficiency. However, achieving nonlinearity—a critical component of computation—remains challenging in the optical domain. Here we introduce a design that leverages a multiple-scattering cavity to passively induce optical nonlinear random mapping with a continuous-wave laser at a low power. Each scattering event effectively mixes information from different areas of a spatial light modulator, resulting in a highly nonlinear mapping between the input data and output pattern. We demonstrate that our design retains vital information even when the readout dimensionality is reduced, thereby enabling optical data compression. This capability allows our optical platforms to offer efficient optical information processing solutions across applications. We demonstrate our design’s efficacy across tasks, including classification, image reconstruction, keypoint detection and object detection, all of which are achieved through optical data compression combined with a digital decoder. In particular, high performance at extreme compression ratios is observed in real-time pedestrian detection. Our findings open pathways for novel algorithms and unconventional architectural designs for optical computing.

Active matrix-based pressure sensor system with a 4 × 16 printed decoder designed with a flexible hybrid organic process design kit

The innovative field of printed sensor with a demand for high accuracy, sensitivity and durability has enabled a wide application area in sensing, healthcare etc. A large-area printed sensor system on a flexible foil substrate emplying p-type organic field-effect transistors (OFETs) is presented. Thereby, the OFET is fabricated through a hybrid manufacturing process, including photolithographically structured source- and drain-electrodes, ink-jet printed organic semiconductor, and spin-coated dielectric. Moreover, a dedicated device model, derived from the variable range hopping model, is developed and integrated together with process related design rules, materials properties and geometric information into a comprehensive process design kit (FH_OPDK). The FH_OPDK is integrated in a commercial electronic design automation tool and is used to design and perform post-layout simulations on logic gates, such as INV, NAND2, and NOR2 as well as circuitry such as ring oscillators and a 4 × 16 digital decoder. Several circuit topologies have been tested and evaluated in a detailed model-hardware correlation analysis. Finally we have optimized logic gates and the decoder in a PMOS only, pseudo CMOS design style. To demonstrate the feasibility of the full sensor system in hardware a 16 × 16 active matrix pressure sensor on a flexible substrate integrated with a 4 × 16 binary decoder was fabricated and tested. We have integrated our flexible hybrid sensor system with a PCB board and a microcontroller to demonstrate the hardware readout platform capable of detecting the weight of objects and visualizing a digital map of applied forces.

Circuit design and energy optimization strategy for a four-bit absolute value detector

The demands placed on the quality of products and services within the realm of electronic technology have reached unprecedented heights. The utilization of electronic decoders has thus become incredibly extensive to meet these evolving needs. Among the integral components of electronic decoders, the absolute value detector holds a significant position. In our pursuit to enhance the efficiency of electronic decoders, this paper have identified substantial room for improvement within the currently prevalent absolute value detector designs. This paper introduces a novel absolute value detector design scheme that promises remarkable advancements. It is worth noting that the performance of this newly proposed absolute value detector far surpasses that of the traditional counterparts. Through rigorous calculations and testing, our absolute value detector exhibits an impressive performance profile, boasting a delay of 34.13FO4 (1V) and an energy consumption of 184.832Eu (1V). These results undoubtedly hold the potential to catalyze innovation in digital decoder technology, offering fresh insights into how we can elevate the overall quality of digital decoders. This contribution paves the way for product enhancements and serves as a valuable resource for those striving to stay at the forefront of electronic technology advancements in our fast-paced information-driven society.

Application of digital audio decoding based on big data service in piano teaching system

Application of digital audio decoding based on big data service in piano teaching system

Extended Depth-of-Field Imaging Using Multi-Scale Convolutional Neural Network Wavefront Coding

Wavefront encoding (WFC) is a depth-of-field (DOF) extension technology that combines optical encoding and digital decoding. The system extends DOF at the expense of intermediate image quality and then decodes it through an image restoration algorithm to obtain a clear image. Affected by point spread differences, traditional decoding methods are often accompanied by artifacts and noise amplification problems. In this paper, based on lens-combined modulated wavefront coding (LM-WFC), we simulate the imaging process under different object distances, generate a simulation data set of WFC, and train a multi-scale convolutional neural network. The simulation experiment proves that this method can effectively reduce artifacts and improve image clarity. In addition, we used the LM-WFC camera to obtain real scene images with different target distances for experiments. The decoding results showed that the network model can enhance the quality of image restoration and generate clear images that are more in line with human vision, which is conducive to the improvement and practical application of wavefront coding systems.

Wavefront coding image reconstruction via physical prior and frequency attention.

Wavefront coding (WFC) is an effective technique for extending the depth-of-field of imaging systems, including optical encoding and digital decoding. We applied physical prior information and frequency domain model to the wavefront decoding, proposing a reconstruction method by a generative model. Specifically, we rebuild the baseline inspired by the transformer and propose three modules, including the point spread function (PSF) attention layer, multi-feature fusion block, and frequency domain self-attention block. These models are used for end-to-end learning to extract PSF feature information, fuse it into the image features, and further re-normalize the image feature information, respectively. To verify the validity, in the encoding part, we use the genetic algorithm to design a phase mask in a large field-of-view fluorescence microscope system to generate the encoded images. And the experimental results after wavefront decoding show that our method effectively reduces noise, artifacts, and blur. Therefore, we provide a deep-learning wavefront decoding model, which improves reconstruction image quality while considering the large depth-of-field (DOF) of a large field-of-view system, with good potential in detecting digital polymerase chain reaction (dPCR) and biological images.

Single‐mode optical fibre digital decoder based on polarization using a K‐nearest neighbour algorithm

AbstractIt is shown experimentally a new digital optical decoding scheme based on the transmission or polarized light at p polarization planes using a K‐Nearest Neighbour (KNN) algorithm through a single‐mode optical fibre at 633 nm. The optical power signal is sent at p polarization planes which constitute p classes required for signal bit recognition. Results show that it is possible to recognize 32 polarizations planes, 5 bits, using 4 features corresponding to the measurement of optical power at 4 different angles at the photodetector side with an average assertiveness of 99.02%.

Low-cost and simple optical system based onwavefront coding and deep learning.

With the development of computational imaging, the integration of optical system design and digital algorithms has made more imaging tasks easier to perform. Wavefront coding (WFC) is a typical computational imaging technique that is used to address the constraints of optical aperture and depth of field. In this paper, we demonstrated a low-cost and simple optical system based on WFC and deep learning. We constructed an optimized encoding method for the phase plate under the framework of deep learning, which reduces the requirement for aberration correction in the full field of view. Optical coding was achieved with just a double-bonded lens and a simple cubic phase mask, and digital decoding used the deep residual UNet++ network framework. The final image obtained has good resolution, whereas the depth of field of the system expanded by a factor of 13, which is of great significance for the high-precision inspection and attaching of small parts of machine vision.

DIGITAL TESTER OF THE DCC SIGNAL RECEPTION QUALITY

DCC (Digital Command and Control) is an operation standard for digital model train networks. By means of the DCC signal, broadcasted throughout the entire digital railway system, every item performs like its real-life counterpart. Despite the hardware and software safety measures, the extent and shape of large railway systems and the contacts between the rails, wheels and pickup collectors of model trains can impede the reception of the DCC signal, which may lead to the malfunction of their digital decoders. Thus, it is important to assess the quality of the DCC signal that reaches the digital decoders of model trains. The authors designed a DCC quality tester, which counts the valid DCC packets per second collected from the tracks of a digital railway system. It is built around a custom-programmed microcontroller and shows if the tested model train receives the DCC signal within an acceptable error rate that its decoder can handle properly. A high error rate warns that the model train and/or the tracks have problems. Thus, this digital DCC tester certifies the adequate operation of the tested digital model train, proving itself to be a useful quality-testing tool for model railroaders.

Digital Image Decoder for Efficient Hardware Implementation

Increasing the resolution of digital images and the frame rate of video sequences leads to an increase in the amount of required logical and memory resources necessary for digital image and video decompression. Therefore, the development of new hardware architectures for digital image decoder with a reduced amount of utilized logical and memory resources become a necessity. In this paper, a digital image decoder for efficient hardware implementation, has been presented. Each block of the proposed digital image decoder has been described. Entropy decoder, decoding probability estimator, dequantizer and inverse subband transformer (parts of the digital image decoder) have been developed in such way which allows efficient hardware implementation with reduced amount of utilized logic and memory resources. It has been shown that proposed hardware realization of inverse subband transformer requires 20% lower memory capacity and uses less logic resources compared with the best state-of-the-art realizations. The proposed digital image decoder has been implemented in a low-cost FPGA device and it has been shown that it requires at least 32% less memory resources in comparison to the other state-of-the-art decoders which can process high-definition frame size. The proposed solution also requires effectively lower memory size than state-of-the-art architectures which process frame size or tile size smaller than high-definition size. The presented digital image decoder has maximum operating frequency comparable with the highest maximum operating frequencies among the state-of-the-art solutions.

Embedded Digital Tuning Radio Based on stm32

With the development of science and technology, people’s demand for material culture is also increasing. The development of radio with good sound quality, easy portability, certain technological content, and moderate price can meet market demand well. The embedded digital tuning radio based on stm32 uses a 32-bit embedded chip with fast processing speed, convenient development, and high-cost performance. At the same time, it is combined with TDA audio decoding chip to achieve digital decoding, cooperates with the LM386 power amplifier module to achieve high-quality audio output, and displays the search frequency through the OLED LCD screen, with high display brightness and clear display effect. The whole work is very in line with the aesthetics of modern people and enhances the technological impression of products such as radios in people’s minds.

Engineered Spore-Forming Bacillus as a Microbial Vessel for Long-Term DNA Data Storage.

DNA data storage technology may supersede conventional chip or magnetic data storage medium, providing long-term stability, high density, and sustainable storage. Due to its error-correcting capability, DNA data stored in living organisms exhibits high fidelity in information replication. Here we report the development of a Bacillus chassis integrated with an inducible artificially assembled bacterial chromosome to facilitate random data access. We generated three sets of data in the form of DNA sequences using a rudimentary coding system accessible by the regulatory promoter. Sporulated Bacillus harboring the genes were used for long-term storage, where viability assays of spores were subjected to harsh environmental stresses to evaluate the data storage stability. The data accuracy remained above 99% after high temperature and oxidative stress treatment, whereas UV irradiation treatment provided above 96% accuracy. The developed Bacillus chassis and artificial chromosome facilitate the long-term storage of larger datum volume by using other DNA digital encoding and decoding programs.

Ultra-Low-Power IoT Communications: A Novel Address Decoding Approach for Wake-Up Receivers

Providing energy-efficient Internet of Things (IoT) connectivity has attracted significant attention in fifth-generation (5G) wireless networks and beyond. A potential solution for realizing a long-lasting network of IoT devices is to equip each IoT device with a wake-up receiver (WuR) to have always-accessible devices instead of always-on devices. WuRs typically comprise a radio frequency demodulator, sequence decoder, and digital address decoder and are provided with a unique authentication address in the network. Although the literature on efficient demodulators is mature, it lacks research on fast, low-power, and reliable address decoders. As this module continuously monitors the received ambient energy for potential paging of the device, its contribution to WuR’s power consumption is crucial. Motivated by this need, a low-power, reliable address decoder is developed in this paper. We further investigate the integration of WuR in low-power uplink/downlink communications and, using system-level energy analysis; we characterize operation regions in which WuR can contribute significantly to energy saving. The device-level energy analysis confirms the superior performance of our decoder. The results show that the proposed decoder significantly outperforms the state-of-the-art with power consumption of 60 nW, at cost of compromising negligible increase in decoding delay.

Second Iteration of Slotted Fractal Log Periodic Dipole Antenna for UHF Digital TV Band Application

This paper discusses the simulations and measurements of the antenna with and without slot implementation in terms of reflection coefficient (S11) and radiation pattern. The slot implementation on each of the radiating elements on the 2nd iteration log periodic fractal Koch antenna (LPFKA) was described in this paper. This method is utilised to reduce the antenna's size while also preventing the lower designated frequencies from shifting to the higher band as the iteration increases. The antenna is designed to test and observe performance in the Ultra High Frequency (UHF) band, which ranges from 0.5 GHz to 3.0 GHz. Computer Simulation Technology (CST) software is used to design and model the antenna, which was then built using the wet etching technique. The antenna's substrate is made of FR-4 laminated board with a dielectric constant of 4.6, tangent loss of 0.019, and a thickness of 1.6mm. The results demonstrate good agreement, with a steady radiation pattern over the operational bandwidth and a reflection coefficient of less than -10 dB for the frequency range of interest. The antenna is being tested with Digital TV decoder and the result is observed towards the picture of the Digital TV.

Image Processing Technology in Remote Monitoring and Intelligent Medical System.

In order to study the application of image processing technology in remote monitoring and intelligent medical systems, the principle and implementation method of a remote intelligent image monitoring system based on virtual local area network is proposed; this method analyzes the key technologies to be considered in the remote realization of image monitoring, adopts advanced digital image compression coding and decoding technology and digital image transmission technology, and applies intelligent image processing and recognition technology to display, adjust, and track images; it overcomes the defects that the general monitoring system requires excessive intervention by monitoring personnel and low intelligence. After verification, the experimental results show that the proposed model can accurately and efficiently segment nonoverlapping cervical cell images, and compared with other existing models, this model has both higher segmentation accuracy and faster calculation speed. The application of multicast is still only in the laboratory or small local area network; with the further development of network technology, its application prospects will be very broad.

Key Optimization Technology of Intelligent Layered Water Injection with Hydraulic Control in Bohai Oilfield

Conventional hydraulic control intelligent layered water injection technology has shortcomings such as low accuracy of allocation, limited layered number, unsatisfying the requirement of slim hole and inability of monitoring of water injection downhole data. Based on the problems exposed in the application of in Bohai Oilfield, technical optimization research was carried out. A digital decoder is developed, the number of adjustment stages of flow control valve is increased, the large flow rate downhole flowmeter based on vortex street test principle is matched, and the layered allocation scheme is optimized. Thus the key optimization technology of intelligent layered water injection technology with hydraulic control in Bohai oilfield are formed. The optimized hydraulic control intelligent separate injection process can implement the maximum layer number of 6 layers, and the different size of flow control valves regulation stage are increased to 11 and 7 stages respectively. It can also meet the application requirements of 82.55 mm slim hole water injection well, and realize real-time monitoring of downhole data on the surface. After optimization, the system has been applied in 20 wells in Bohai Oilfield, which has stable and reliable operation, flexible nozzle adjustment, and real-time downhole data upload, accuracy more than 95%. Single well allocation cycle is cut down to 1 day. The application effect is good.

Development of Real-Time Time Gated Digital (TGD) OFDR Method and Its Performance Verification.

Distributed acoustic sensing (DAS) in optical fibers detect dynamic strains or sound waves by measuring the phase or amplitude changes of the scattered light. This contrasts with other distributed (and more conventional) methods, such as distributed temperature (DTS) or strain (DSS), which measure quasi-static physical quantities, such as intensity spectrum of the scattered light. DAS is attracting considerable attention as it complements the conventional distributed measurements. To implement DAS in commercial applications, it is necessary to ensure a sufficiently high signal-noise ratio (SNR) for scattered light detection, suppress its deterioration along the sensing fiber, achieve lower noise floor for weak signals and, moreover, perform high-speed processing within milliseconds (or sometimes even less). In this paper, we present a new, real-time DAS, realized by using the time gated digital-optical frequency domain reflectometry (TGD-OFDR) method, in which the chirp pulse is divided into overlapping bands and assembled after digital decoding. The developed prototype NBX-S4000 generates a chirp signal with a pulse duration of 2 μs and uses a frequency sweep of 100 MHz at a repeating frequency of up to 5 kHz. It allows one to detect sound waves at an 80 km fiber distance range with spatial resolution better than a theoretically calculated value of 2.8 m in real time. The developed prototype was tested in the field in various applications, from earthquake detection and submarine cable sensing to oil and gas industry applications. All obtained results confirmed effectiveness of the method and performance, surpassing, in conventional SM fiber, other commercially available interrogators.

Design of True Random Number Circuit with Controllable Frequency

True random number generators (TRNGs) have been a research hotspot due to secure encryption algorithm requirements. Therefore, such circuits are necessary building blocks in state-of-the-art security controllers. In this paper, a TRNG based on random telegraph noise (RTN) with a controllable rate is proposed. A novel method of noise array circuits is presented, which consists of digital decoder circuits and RTN noise circuits. The frequency of generating random numbers is controlled by the speed of selecting different gating signals. The results of simulation show that the array circuits consist of 64 noise source circuits that can generate random numbers by a frequency from 1 kHz to 16 kHz.

Exploring the Predictors of Consumers’ Purchase Intention of Terrestrial Digital Decoder

Indonesia is one of the countries that currently struggle to switch terrestrial television from analog to digital. The Indonesian government has distributed terrestrial digital decoders in several trial areas so that the recipients can experience the terrestrial digital broadcasts on their old analog television. The distribution of the decoder is expected to encourage recipients to convert to digital completely. Once the decoder cannot be used anymore, the recipients can choose either to purchase integrated digital television (DTV) or a new decoder to keep experiencing the terrestrial digital broadcasts. This study focuses on the consumers’ intention to buy a new decoder based on respondents’ demographics, television media consumption, pay television subscription, the availability of public, private, and cross-border television signals, and the perception against digital terrestrial-related factors. Primary data was collected through a survey in several free decoder distribution locations, while the samples consist of the decoders’ recipients. This study uses binary logistic regression as the analysis method. The results indicate that the intention to buy a decoder is influenced by geographical location, the subscription to both cable-based and satellite-based television, TV-viewing duration, the satisfaction with the quality of digital terrestrial television, and the satisfaction with the decoder they have received.

Design and implementation of 4 bit binary weighted current steering DAC

A compact current-mode Digital-to-Analog converter (DAC) suitable for biomedical application is repesented in this paper .The designed DAC is binary weighted in 180nm CMOS technology with 1.8V supply voltage. In this implementation, authors have focused on calculaton of Non linearity error say INL and DNL for 4 bit DAC having various type of switches: NMOS, PMOS and Transmission Gate. The implemented DAC uses lower area and power compared to unary architecture due to absence of digital decoders. The desired value of Integrated non linearity (INL) and Differential non linearity (DNL) for DAC for are within a range of +0.5LSB. Result obtained in this works for INL and DNL for the case DAC using Transmission Gate is +0.34LSB and +0.38 LSB respectively with 22mW power dissipation.