Integrated Signal Processor Research Articles

Real-time monitoring system for passive energy-saving houses in the internet of things environment

The real-time monitoring system can improve the management of passive energy-saving houses. Therefore, this paper proposes a real-time monitoring system for passive energy-saving houses in the internet of things. Construct the overall framework of the system, use DSP integrated signal processor to process real-time information; select PCI9054 bus as output bus transmission mode, control the local bus through PCI, use the transceiver conversion module to analyse the monitoring information in real time; use ADO.NET component library Interact with the database to realise IoT management and control of monitoring information, and implement system software design by wavelet transform algorithm. The simulation results show that the designed system has a monitoring delay of only 2s, and the overall stability is strong. It can process the monitoring information of energy-saving houses in real time.

Intelligent Monitoring System for Thermal Energy Consumption of Buildings under the IoT Technology

In view of the poor accuracy of single value of heat energy consumption and the weak real-time monitoring of energy consumption in buildings, an intelligent monitoring system for thermal energy consumption of buildings under the internet of things (IoT) technology is designed. The overall structure of the intelligent monitoring system for thermal energy consumption of buildings is constructed. The DSP integrated signal processor is used for data acquisition and real-time information processing of thermal energy of buildings. A wireless intelligent gateway for building thermal energy consumption monitoring is designed by using internet of things technology, a wireless sensor network model is constructed. The VME bus is used as information transmission channel to realise intelligent monitoring for thermal energy consumption. The test results show that the real-time monitoring accuracy of the system is better than that of the traditional method and it has a good application prospect in all aspects.

Real-time monitoring system for passive energy-saving houses in the internet of things environment

The real-time monitoring system can improve the management of passive energy-saving houses. Therefore, this paper proposes a real-time monitoring system for passive energy-saving houses in the internet of things. Construct the overall framework of the system, use DSP integrated signal processor to process real-time information; select PCI9054 bus as output bus transmission mode, control the local bus through PCI, use the transceiver conversion module to analyse the monitoring information in real time; use ADO.NET component library Interact with the database to realise IoT management and control of monitoring information, and implement system software design by wavelet transform algorithm. The simulation results show that the designed system has a monitoring delay of only 2s, and the overall stability is strong. It can process the monitoring information of energy-saving houses in real time.

A fully reconfigurable photonic integrated signal processor

Photonic signal processing has been considered a solution to overcome the inherent electronic speed limitations. Over the past few years, an impressive range of photonic integrated signal processors have been proposed, but they usually offer limited reconfigurability, a feature highly needed for the implementation of large-scale general-purpose photonic signal processors. Here, we report and experimentally demonstrate a fully reconfigurable photonic integrated signal processor based on an InP–InGaAsP material system. The proposed photonic signal processor is capable of performing reconfigurable signal processing functions including temporal integration, temporal differentiation and Hilbert transformation. The reconfigurability is achieved by controlling the injection currents to the active components of the signal processor. Our demonstration suggests great potential for chip-scale fully programmable all-optical signal processing. Scientists experimentally demonstrate a fully configurable photonic integrated signal processor based on an InP–InGaAs material system by controlling the injection currents to the active components.

Low-power, chip-based stimulated Brillouin scattering microwave photonic filter with ultrahigh selectivity

Highly selective and reconfigurable microwave filters are of great importance in radio-frequency signal processing. Microwave photonic (MWP) filters are of particular interest, as they offer flexible reconfiguration and an order of magnitude higher frequency tuning range than electronic filters. However, all MWP filters to date have been limited by trade-offs between key parameters such as tuning range, resolution, and suppression. This problem is exacerbated in the case of integrated MWP filters, blocking the path to compact, high-performance filters. Here we show the first chip-based MWP bandstop filter with ultrahigh suppression, high resolution in the megahertz range, and 0–30 GHz frequency tuning. This record performance was achieved using an ultralow Brillouin gain from a compact photonic chip and a novel approach of optical resonance-assisted RF signal cancellation. The results point to new ways of creating energy-efficient and reconfigurable integrated MWP signal processors for wireless communications and defence applications.

NANA-an integrated signal processor and record builder for the level-2 readout of asynchronous event-filtering digital pipelines

NANA implements some fast and simple processing algorithms, for use in future High Energy Physics (HEP) experiments. After the first level trigger, the data rate is sufficiently small to allow channel merging and some processing with dedicated hardware. For detectors whose signal is companded prior to digitization, the data samples need to be expanded to the original dynamic range, as further physics analysis usually deals with linear values. A 16 bit integer piece-wise polynomial approximation of the expansion function recovers the original dynamic range, without introducing significant degradation on the detector's intrinsic resolution. A 16 bit integer multiplier and adder-accumulator is accurate enough for time information extraction and for determination of the energy deposited in one channel. The time resolution is sufficient to correctly identify the bunch crossing that corresponds to a particular pulse. The energy accuracy is limited only by the detector's resolution. The extracted features carry all the information subsequently needed. The whole set of samples of a pulse can thus be replaced by a few data words. Initially aimed at the calorimetry front-end, the algorithms may be applied to any similar sampled detector signal. >

A New Method for Measuring the Performance of Weakly Nonlinear and Noisy Systems

A method is presented for measuring the performance of real systems, which are at most approximately linear and in addition noisy. Based on a model consisting of a linear subsystem and a nonlinear and noisy one the method permits the characterization of these systems by a complex frequency response and the power density spectrum of the disturbance respectively. The procedure has been implemented using an integrated signal processor under PC-Control

Signal-processor-based digital filters having low sensitivity

New low-sensitivity second-order digital-filter structures are proposed which are suited for implementation on an integrated signal processor with an on-chip fast multiplier. The inherent parallelism in such a processor is utilised to design very low sensitivity digital filters without any remarkable decrease in the overall throughput.

High quality music from digital signal processors

Low‐cost, high‐quality sound synthesis is now possible in real time with digital integrated signal processors. In particular, a program for music synthesis using the Bell Laboratories Digital Signal Processor (A3990 DSP) is described. The program is based on frequency modulation (FM) synthesis and is capable of producing a single FM voice at 20‐kHz bandwidth or several such voices at reduced bandwidth. The advantages and limitations of available digital signal processor chips in relation to music synthesis are given. In summary, suggestions are presented to improve future versions of such devices.