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International Conference on Communications, Circuits and Systems (ICCCAS)

作者： Wei Huang Zhiming He Yajing Li Jingcheng Xiang UESTC College of Electronic Engineering Chengdu China

A high-speed general-purpose radar signal processing system is designed on the parallel processing platform combining four ADSP-21160s. In a typical example of digital pulse compression in the frequency domain, a highly efficient algorithm is presented after comparing different parallel processing algorithms. The validity of this algorithm is proved through experiments.

关键词： Parallel processing signal processing algorithms Pulse compression methods Radar signal processing signal design Modems Hardware Process design Digital signal processing chips Helium

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Space and time signal processing based on adaptive antenna array for CDMA

Space and time signal processing based on adaptive antenna a...

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Proceedings of the IEEE Information Theory and Communications Workshop

作者： R. Kohno I. Yoshii K. Watanabe Division of Elec. & Comp. Engineering Faculty of Engineering Yokohama National University Yokohama Japan

An adaptive antenna array or a smart antenna can form a desired antenna pattern and adaptively control it if an appropriate set of antenna weights is provided and updated in software. We have studied an adaptive array antenna considering as an adaptive filter in the space and time domains for radio communications, so that the communication theory can be generalized into both the space and time domains. This paper focuses on space and time signal processing for CDMA and introduces a series of our research results in this area, such as appropriate structures and updating algorithms of an adaptive array antenna for CDMA, space and time interference canceller and optimum multiuser receiver for CDMA, and joint optimization between transmitting and receiving array antennas etc. Such space and time signal processing promises significant improvement of performance in a CDMA mobile communication system and other spread spectrum systems such as a spread spectrum vehicular communication and ranging system.

关键词： Adaptive arrays Adaptive signal processing Array signal processing Antenna arrays Multiaccess communication signal processing algorithms Receiving antennas Transmitting antennas Mobile communication Spread spectrum communication

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Systolic Digital IIR Filter Architectures for Real Time signal processing Applications

Systolic Digital IIR Filter Architectures for Real Time Sign...

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Emerging Technology (INCET), International Conference for

作者： Bujjibabu Penumutchi Gayatri Tatikonda Dept. of E.C.E. Aditya Engineering College(A) Surampalem India ECE. Aditya Engineering College(A) Surampalem India

ISBN: (数字)9798350361155

ISBN: (纸本)9798350361162

Digital signal processing (DSP) is a critical area of research within Very Large-Scale Integration (VLSI) due to its vital role in various applications such as telecommunications, multimedia, radar, and medical imaging. DSP is essential for achieving real-time performance, low power consumption, and optimized hardware implementations. As VLSI technologies advance to support emerging fields like AI, IoT, and edge computing, DSP remains essential, driving innovations in algorithms and architectures to meet the demands of these rapidly advancing technologies. Here we are using different Architectures for reducing usage of power, delay and PDP and also to find efficiency Quality Metrics is provided.

关键词： Technological innovation signal processing algorithms Computer architecture IIR filters Digital signal processing Very large scale integration Radar imaging

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A design environment for high throughput, low power dedicated signal processing systems

A design environment for high throughput, low power dedicate...

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Custom Integrated Circuits Conference (CICC)

作者： W.R. Davis Ning Zhang K. Camera F. Chen D. Markovic N. Chan B. Nikolic R.W. Brodersen University of California Berkeley Berkeley CA USA

ISBN: (纸本)0780365917

A hierarchical automated design flow for low-energy direct-mapped signal processing integrated circuits is presented. A modular framework based on a combined Simulink and floorplan description drives automatic layout generation. Automatic characterization of layout improves system-level estimates. The flow is demonstrated on the subsystems of CDMA and OFDM receivers and a 300 k transistor test-chip.

关键词： signal design Throughput signal processing signal processing algorithms Parallel processing Algorithm design and analysis Application specific integrated circuits Voltage Computer architecture Design methodology

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Digital signal processing for automode modem

Digital signal processing for automode modem

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International Conference on Communication Systems

作者： S.M. Si A.M. Alvarez School of Electrical and Electronic Engineering Nanyang Technological University Singapore

Describes the interworking standard between an automode modem and other CCITT and Bell modems. The methodology to develop the automode modem is discussed. A software simulator is built to simulate the complete modem system (including the environment and impairments) in order to evaluate and monitor the performance of the modem. The hardware implementation of the automode modem is carried out by using a single Analog Devices ADSP-2101 digital signal processor.< >

关键词： Digital signal processing Modems Digital signal processing chips Hardware Transmitters Circuits Telephony Space technology signal processing algorithms Band pass filters

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An architecture of multi-DSP system and development environment for two-dimensional digital signal processing

An architecture of multi-DSP system and development environm...

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IEEE International Conference on Systems Engineering

作者： H. Nakajo K. Yoshikawa T. Hinamoto S. Maekawa Department of Computer and Systems Engineering Kobe University Kobe Japan

A multi-DSP (digital signal processor) system which attempts to investigate algorithms for real-time digital signal processing is presented. A parallel digital filtering algorithm and a development environment are also described. It is found that the multi-DSP system has significantly higher computation performance than an engineering workstation. However, since the multi-DSP system requires significant data transfer capability, to achieve total higher performance, the bandwidth of the communication network between the workstation and the multi-DSP system must be improved.< >

关键词： Workstations Computer architecture Digital signal processors signal processing algorithms Real time systems Digital signal processing Filtering algorithms High performance computing Bandwidth Communication networks

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On the convergence of traffic measurement and queueing analysis: A statistical-matching and queueing (SMAQ) tool

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IEEE-ACM TRANSACTIONS ON NETWORKING 1997年第1期5卷 95-110页

作者： Li, SQ Hwang, CL Dept. of Electr. & Comput. Eng. Texas Univ. Austin TX USA

The analytical tool developed in this paper provides a general solution technique for integration of traffic measurement and queueing analysis, The frequency-domain approach is used to combine the advanced techniques in two areas: signal processing and queueing analysis, Essentially, signal processing techniques are used to obtain the steady-state and second-order statistics of a traffic stream. We propose a new programming method far construction of a special class of Markov chains to statistically match with each given traffic stream (or superposition of heterogeneous traffic streams). The analytical queueing solutions can therefore be obtained by the Folding-algorithm based on Markov chain input modeling. Comprehensive numerical examples show the great potential of the statistical-matching and queueing (SMAQ) tool to solve measurement-based traffic management issues.

关键词： Maintenance Engineering Telecommunication Network Management Telecommunication Traffic Queueing Theory signal processing Statistical Analysis Telecommunication Computing Programming Environments Markov Processes Frequency Domain Analysis Traffic Measurement Traffic Queueing Analysis Statistical Matching And Queueing Tool Frequency Domain Approach signal processing Steady State Statistics Second Order Statistics Traffic Stream Programming Method Markov Chains Heterogeneous Traffic Streams Superposition Analytical Queueing Solutions Folding Algorithm Markov Chain Input Modeling Measurement Based Traffic Management Queueing Analysis Convergence Traffic Control Telecommunication Traffic Higher Order Statistics signal processing Steady State Statistical Distributions signal processing algorithms signal Analysis

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AN ACCURATE BIOMEDICAL TEMPERATURE TRANSDUCER WITH ON-CHIP MICROCOMPUTER INTERFACING

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IEEE JOURNAL OF SOLID-STATE CIRCUITS 1988年第6期23卷 1405-1410页

作者： MEIJER, GCM BOOMKAMP, AJM DUGUESNOY, RJ Department of Electrical Engineering Electronics Laboratory Delft University of Technnology Delft Netherlands

The authors describe a novel smart temperature sensor with on-chip signal processing. The output signal consists of a temperature-dependent frequency and a reference frequency that are time-multiplexed and can be read out by a microcomputer. This sensor, which has been designed for biomedical applications, has an accuracy of +or-0.1 degrees C in the temperature range of 32-44 degrees C and a minimum supply voltage of only 2.5 V.< >

关键词： Biomedical transducers Microcomputers Temperature sensors Equations Circuits signal processing algorithms Frequency Temperature distribution Interpolation Clocks

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MIML-GAN: A GAN-Based Algorithm for Multi-Instance Multi-Label Learning on Overlapping signal Waveform Recognition

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IEEE TRANSACTIONS ON signal processing 2023年 71卷 859-872页

作者： Pan, Zesi Wang, Bo Zhang, Ruibin Wang, Shafei Li, Yunjie Li, Yan Beijing Inst Technol Sch Informat & Elect Beijing 100081 Peoples R China Peng Cheng Lab Shenzhen 518055 Peoples R China Univ Int Business & Econ Sch Informat Technol & Management Beijing 100029 Peoples R China Beijing Inst Technol Sch Cyberspace Sci & Technol Beijing 100081 Peoples R China

Existing studies for automatic waveform recognition of overlapping signals have mostly been conducted in a supervised manner. Although demonstrating superior performance in recent years, supervised methods rely heavily on sufficient labeled samples, but the acquisition of annotated data is expensive, time-consuming, and sometimes infeasible. This shortage drives the need for semi-supervised learning methods, where the unlabeled samples can be fully exploited in the training stage. In addition, multi-instance multi-label (MIML) learning is essentially another weakly supervised learning protocol, and precisely fits the form of the time-frequency images TFIs obtained from the transformation of overlapping signals. In this paper, delving into the MIML learning problem, we leverage the advantage of adversarial training to formulate an effective algorithm MIML-GAN, which is tailored to the MIML problem of overlapping signal waveform recognition. After feeding the TFIs into the network, MIML-GAN approximates the distribution of the training data using the adversarial learning principle. Subsequently, the bag-level prediction can be derived from the instance-level prediction upon the MIML discriminator through adaptive threshold calibration. Specifically, we elaborately studied the global optimality of the MIML-GAN objective function, and extensive simulations are carried out with overlapping signal dataset, validating the ascendancy of the proposed method. Comparative experiments demonstrate that the proposed algorithm possesses promising feature representation capability, and outperforms the existing semi-supervised and supervised signal waveform recognition approaches.

关键词： Task analysis Training Supervised learning signal processing algorithms Generators Generative adversarial networks Feature extraction Automatic waveform recognition overlapping radar signals residual attention learning generative adversarial network multi-instance multi-label learning

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USING LINEAR AND NONLINEAR PREDICTORS TO IMPROVE THE COMPUTATIONAL-EFFICIENCY OF THE FD-TD ALGORITHM

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IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES 1994年第10期42卷 1992-1997页

作者： CHEN, J WU, C LO, TKY WU, KL LITVA, J COM DEV LTD DEPT CORP RES & DEVCAMBRIDGEONCANADA MCMASTER UNIV INTEGRATED ANTENNA GRPHAMILTONONCANADA

It is well known that the Finite-Difference Time-Domain (FD-TD) method requires long computation times for sol,ing electromagnetic problems, especially for high-Q structures. The reason for this is because the algorithm is based on the leap-frog formula. In this paper, both linear and nonlinear predictors, which are widely used in signal processing, are introduced to reduce the computation time of the FD-TD algorithm. A short segment of an FD-TD record is used to train the predictor, As long as the predictor is set up properly, an accurate future realization can be obtained. We demonstrate, by means of numerical results, that the efficiency of the FD-TD method can be improved by up to 90%. With this result, the FD-TD algorithm becomes a much more attractive technique for solving electromagnetic problems.

关键词： Computational efficiency signal processing algorithms signal processing Finite difference methods Time domain analysis Electromagnetic transients Frequency Fourier transforms Parameter extraction

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