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检索条件"主题词=signal processing algorithms"

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A design and computing system for signal processing applications

A design and computing system for signal processing applicat...

引用

International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： H. Gethoffer K. Hoffmann A. Lenzer N. Roethe H. Waldschmidt Technische Hochule Darmstadt Darmstadt Federal Republic of Germany

A high Level signal processing system is presented consisting of the abstract signal processing language SIPROL, a translator system and a general purpose signal processor GPSP. SIPROL is derived from PASCAL including useful extensions on abstract data types. A SIPROL program is compiled into an intermediate language program and then transformed onto various target machine levels by table-driven codegeneration. The hardware modules of the GPSP are derived from the virtual machine associated to the intermediate language. The kernel feature of the system facilitates a flexible transition and migration from software to hardware with respect to the signal processing speed requirements.

关键词： signal design signal processing Hardware Virtual machining signal processing algorithms Process design Very large scale integration Program processors Kernel Guidelines

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Digital signal processing for coherent transceivers in next generation optical networks

Digital signal processing for coherent transceivers in next ...

引用

European Conference on Optical Communication (ECOC)

作者： C. R. S. Fludger Cisco Optical GmbH

This tutorial reviews the latest developments in Digital signal processing for coherent transceivers and their use in Next Generation Optical networks.

ISBN: (纸本)9781479930661

This tutorial reviews the latest developments in Digital signal processing for coherent transceivers and their use in Next Generation Optical networks.

关键词： Digital signal processing Modulation signal processing algorithms Optical receivers Optical signal processing Optical transmitters High-speed optical techniques

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IF signal processing Algorithm for GPS Software Receiver

IF Signal Processing Algorithm for GPS Software Receiver

引用

Congress on Image and signal processing, CISP

作者： Zuohu Li Jinming Hao Jianwen Li Chengjun Zhang Zhengzhou Institute of Surveying and Mapping Zhengzhou China Wuhang University Wuhan China

Based on simple comparison between a conventional navigation receiver and a GNSS software receiver, a generic GNSS receiver architecture is given, which focuses on the GPS IF signal processing algorithm in the channel. According to the channel states the algorithm falls into four parts: signal acquisition, confirmation, fine frequency estimation and tracking. A frequency domain acquisition based on FFT operation is proposed, but the acquisition results need to be confirmed because of the false alarm probability. signal confirmation is formed on the basis of the conventional threshold detection method using the changes in the Doppler shifts and code phases during several consecutive sampling periods. The fine frequency estimation adopts signalspsila phase relation obtained from FFT. signal tracking is a combination of a Costas Phase Look Loop (PLL) and a non-coherent Early-Late gate delay lock loop (DLL). At the end of the paper, the results of the experiments with real GPS IF signal confirm valid operation of the proposed GPS signal processing.

关键词： signal processing algorithms Global Positioning System Satellite navigation systems Frequency estimation Tracking loops signal processing Computer architecture Frequency domain analysis Phase detection Doppler shift

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A preferential design approach for energy-efficient and robust implantable neural signal processing hardware

A preferential design approach for energy-efficient and robu...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Seetharam Narasimhan Hillel J. Chiel Swarup Bhunia Department of Electrical and Computer Engineering Case Western Reserve University Cleveland OH USA Departments of Biology Neuroscience and Biomedical Engineering Case Western Reserve University Cleveland OH USA

For implantable neural interface applications, it is important to compress data and analyze spike patterns across multiple channels in real time. Such a computational task for online neural data processing requires an innovative circuit-architecture level design approach for low-power, robust and area-efficient hardware implementation. Conventional microprocessor or Digital signal processing (DSP) chips would dissipate too much power and are too large in size for an implantable system. In this paper, we propose a novel hardware design approach, referred to as ldquoPreferential Designrdquo that exploits the nature of the neural signal processing algorithm to achieve a low-voltage, robust and area-efficient implementation using nanoscale process technology. The basic idea is to isolate the critical components with respect to system performance and design them more conservatively compared to the noncritical ones. This allows aggressive voltage scaling for low power operation while ensuring robustness and area efficiency. We have applied the proposed approach to a neural signal processing algorithm using the Discrete Wavelet Transform (DWT) and observed significant improvement in power and robustness over conventional design.

关键词： signal design Energy efficiency Robustness signal processing Hardware Algorithm design and analysis Discrete wavelet transforms Digital signal processing chips signal processing algorithms Data analysis

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Adaptive Parallel Optimization Design for signal processing on Multi-core and Many-core Platforms

Adaptive Parallel Optimization Design for Signal Processing ...

引用

International Conference on Electronics and Information Technology (EIT)

作者： Wenjun Han He Li Ga Wang Nanjing Electronic Technology Research Institute Nanjing Southeast University Nanjing University of Science and Technology of China Hefei

ISBN: (数字)9798350369151

ISBN: (纸本)9798350369168

Based on the characteristics and parallel design research of multi-core and many-core hardware platforms, this paper proposes an adaptive parallel optimization design method for signal processing on multi-core and many-core platforms. By employing a hardware platform architecture-aware approach and a multi-core segmented pipeline design, adaptive parallel optimization is achieved. The method was tested and verified using a two-stage FFT algorithm on the Phytium 2000+ platform. The test results indicate that through multiple iterations of optimization, adaptive high-performance parallel processing on multi-core and many-core platforms can be realized.

关键词： Multicore processing Pipelines signal processing algorithms Simulated annealing signal processing Parallel processing Hardware Resource management Information technology Optimization

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A VLSI implementation of the partial rank algorithm for adaptive signal processing

A VLSI implementation of the partial rank algorithm for adap...

引用

International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： F. Yassa S. Kratzer Corporate Research and Development General Electric Company Limited Schenectady NY USA Electronics Laboratory General Electric Company Limited Syracuse NY USA

This paper presents a VLSI architecture for implementing the Partial-Rank Algorithm used in adaptive beamforming. The architecture depends on VLSI computational hardware for vector operations which are the main computations needed for the algorithm. The systolic-like architecture presented is as flexible as the algorithm itself in the sense that higher order algorithms can be implemented by adding identical hardware. The implementation is shown to be extendable from an LMS algorithm to a full matrix algorithm.

关键词： Very large scale integration signal processing algorithms Adaptive signal processing Computer architecture Least squares approximation Convergence Equations Hardware Adaptive algorithm Stochastic processes

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Tactile sensing for an anthropomorphic robotic hand: Hardware and signal processing

Tactile sensing for an anthropomorphic robotic hand: Hardwar...

引用

IEEE International Conference on Robotics and Automation (ICRA)

作者： Dirk Goger Nicolas Gorges Heinz Worn Institute for Process Control and Robotics Universität Karlsruhe Karlsruhe Germany

In this paper, a tactile sensing system for an anthropomorphic robot hand is presented. The tactile sensing system is designed as a construction kit making it very versatile. The sensor data preprocessing is embedded into the hand's hardware structure and is fully integrated. The sensor system is able to gather tactile pressure profiles and to measure vibrations in the sensor's cover. Additionally to the introduction of the hardware, the signal processing and the classification of the acquired sensor data will be explained in detail. These algorithms make the tactile sensing system capable to detect contact points, to classify contact patterns and to detect slip conditions during object manipulation and grasping.

关键词： Anthropomorphism Robot sensing systems Hardware signal processing Sensor systems Vibration measurement signal processing algorithms Object detection Data preprocessing Pressure measurement

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Parameters design and signal processing algorithm research in clutter based on the stepped frequency waveforms

Parameters design and signal processing algorithm research i...

引用

International Conference on signal processing Proceedings (ICSP)

作者： Xiao-na Zhao Hai-bo Liu Qing-bo Liu Hui-hui Lv School of Information and Electronics Beijing Institute of Technology 100081 China

Aiming at the detection and imaging of targets in clutter, the parameters design and the optimization criterion based on the stepped frequency waveform were given. Meanwhile the signal processing algorithm was proposed, which includes the method of measuring the radial velocity based on the frame PD processing, and the follow-up processing of echo reconstruction and synthesizing high range resolution (HRR) profiles. At last, combined with the parameters of a real radar system, simulation results validate the effectivity of the algorithm and the ability of extracting target information and synthesizing the one-dimension HRRP under the clutter background.

关键词： Doppler effect Clutter Motion compensation signal processing algorithms signal to noise ratio Image reconstruction Estimation

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Configuration Mechanism of Software Defined Chip Applied in signal processing

Configuration Mechanism of Software Defined Chip Applied in ...

引用

IEEE International Conference on Electronics and Communication Engineering (ICECE)

作者： Yu Li Hao Chen Huizhu Zhu Rongyang Wang Guiqiang Peng Shaojun Wei Leibo Liu School of Integrated Circuits Tsinghua University Beijing China China National Aeronautical Radio Electronics Research Institute Shanghai China

ISBN: (纸本)9781665487900

In order to give full play to the advantages of software defined chip hardware architecture, this paper designs a configuration mechanism of software defined chip applied in the field of signal processing. Firstly, this paper designs the configuration line execution iteration of PE (processing Element); Secondly, the iteration times of PE top layer are designed; Thirdly design the number of PEA (processing element array) top-level iterations; Finally, the implementation of matrix multiplication algorithm is used to analyze the hardware design results. Through simulation, the results show that, compared with TI c66x DSP, the clock cycle required to execute the same algorithm is reduced from 15325 to 200; The power consumption is reduced from 1092 mW to 420 mW, and the processing speed and power consumption are better than those of TI c66x DSP.

关键词： Power demand Software algorithms Key performance indicator signal processing algorithms Organizations Computer architecture Parallel processing

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Two New Methods of Preset Time Mean Count Rate Metering Using Adaptive Digital signal processing

Two New Methods of Preset Time Mean Count Rate Metering Usin...

引用

Eurocon

作者： A.D. Zigic Electronics Department Vinca Institute of Nuclear Sciences Serbia

Two new methods developed to improve the classical preset time count rate meters by using the adaptive signal processing tools, are presented. An optimized detection algorithm that senses the change of the mean count rate was implemented in both methods. Three low-pass filters of various structures with adaptive parameters to implement the control of the mean count rate error were considered. An adaptation algorithm for preset time interval calculations was devised and implemented in both methods differing only in the place of its execution (before or after the low-pass filters). The simulated and realized methods, using the developed algorithms guarantee the response time not in excess of 2s for the mean count rate higher than 2c/s and the controllable mean count rate error in the range of plusmn4% to plusmn10%

关键词： Digital signal processing Low pass filters Error correction signal processing algorithms Adaptive signal processing Optimization methods Detection algorithms Adaptive filters Programmable control Adaptive control

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