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检索条件"任意字段=Conference on Advanced Signal Processing Algorithms"

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Adaptive control of robotic manipulators using DSPs

Adaptive control of robotic manipulators using DSPs

引用

American Control conference (ACC)

作者： F. Pourboghrat F. Mehdian M. Wirth Department of Electrical Engineering Southem Illinois University Carbondale IL USA

In this paper the application of DSPs for motion control of robotic manipulators is considered. It is shown that DSPs are able to implement advanced control algorithms in real time, and hence, can provide enhanced mot... 详细信息

关键词： Adaptive control Robots Digital signal processing Manipulator dynamics Equations Motion control signal processing algorithms Servosystems Nonlinear dynamical systems Couplings

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Neural networks for pattern discovery and optimization in signal processing and applications

Neural networks for pattern discovery and optimization in si...

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Canadian conference on Electrical and Computer Engineering (CCECE)

作者： H.S. Abdel-Aty-Zohdy M.A. Zondy Microelectronics System Design Laboratory Electrical and Systems Engineering Oakland University Rochester MI USA Center for Advanced Automation Electrical and Systems Engineering Oakland University Rochester MI USA

The article is intended to advance both conceptual and implementation techniques of supervised and discovery-driven neural networks in noisy time varying signal processing applications. Successful neural networks and their significance in applications are based on; selection of proper theoretical algorithms for learning, appropriate selection of the sequencing of signal processing tasks, and efficient VLSI system implementation. We present a pattern discovery self organizing feature map (SOFM), followed by a recurrent dynamic neural network (RDNN) algorithm for signal representation and processing. This approach combines the benefits of RDNNs with its SOFM counter part. Preliminary designs, implementations, test results and validation of silicon-chips for each of the above neural network approach are also presented.

关键词： Neural networks Intelligent networks signal processing signal processing algorithms Multidimensional signal processing Organizing Systems engineering and theory Very large scale integration Recurrent neural networks Stochastic processes

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Digital signal processing for the APS transverse and longitudinal damping system

Digital signal processing for the APS transverse and longitu...

引用

IEEE conference on Particle Accelerator

作者： D. Barr W. Sellyey Advanced Photon Source Argonne National Laboratory Argonne IL USA U.S. Department of Energy IL USA

The advanced Photon Source (APS) at Argonne National Laboratory will be a 7-GeV machine. It is anticipated that for beam operations beyond the baseline design of 100 mA stored beam current, a transverse and longitudinal damping system is needed to damp instabilities. A key part of this digital damping system is digital signal processing. This digital system will be used to process samples taken from the beam and determine appropriate correction values to be applied to the beam. The processing will take the form of a transversal digital filter with adaptable filter weights. Sampling will be done at 176 MHz with a possible correction bandwidth of 88 MHz. This paper concentrates on the digital processing involved in this system, and especially on the adaptive algorithms used for determining the digital filter weights.

关键词： Digital signal processing Damping Transversal filters Frequency Digital filters Laboratories Synchrotrons Power harmonic filters Oscillators Digital systems

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Convergence analysis of sign-sign LMS algorithm for adaptive filters with correlated Gaussian data

Convergence analysis of sign-sign LMS algorithm for adaptive...

引用

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

作者： Byung-Eul Jun Dong-Jo Park Yong-Woon Kim Department of Electrical Engineering Korea Advanced Institute of Science and Technology Taejon South Korea

ISBN: (纸本)0780324315

This paper presents a statistical behavior analysis of a sign-sign least mean square algorithm, which is obtained by clipping both the reference input signal and the estimation error, for adaptive filters with correlated Gaussian data. The study focuses on the derivation of expressions for the first and second moment behavior of the filter coefficient vector and analysis of the filter mean square error. The previous analysis of this type for the sign-sign algorithm is based on the assumption that the input sequence to the adaptive filter is independent, identically distributed Gaussian, but this restriction is removed in our analysis. Theoretical expressions derived are verified numerically through computer simulations for an example of system identification.

关键词： Convergence Algorithm design and analysis Least squares approximation Adaptive filters signal analysis Least mean square algorithms Estimation error Mean square error methods Error analysis Computer simulation

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Classification of human cognitive processes by the use of an improved neural backpropagation network

Classification of human cognitive processes by the use of an...

引用

International conference on Neural Networks

作者： D. Steuer B. Schack G. Grieszbach W. Krause Department of Biomedical Engineering and Informatics Technical University Ilmenau Ilmenau Germany Department for Medical Statistics Computer Sciences and Documentation University of jean Jena Germany Institute for Psychology University of Jena Jena Germany

The analysis of human cognitive processes constitutes a great challenge for scientists of all research fields. Better methods in signal processing (that means higher resolution in time and frequency) lead to an even better explanation of the human thinking. An unsolved problem in psychology is the question of whether a change between pictorial and conceptual thinking could be the source of intellectual creativity. We attempt to show results for the classification of such elementary cognitive processes by the use of a neural backpropagation network. In one result, we introduce an advanced backpropagation algorithm, which accelerates the learning speed and stabilizes the learned net through adaptive recursive estimation methods.

关键词： Humans Psychology Coherence Testing signal processing signal analysis Biomedical signal processing signal resolution Backpropagation algorithms Electroencephalography

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The MGAP-2: an advanced, massively parallel VLSI signal processor

The MGAP-2: an advanced, massively parallel VLSI signal proc...

引用

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

作者： T.P. Kelliher E.S. Gayles R.M. Owens M.J. Irwin Dept. of Math. & Comput. Sci. Westminster Coll. New Wilmington PA USA Architecture and VLSI CAD Group Department of Computer Science and Engineering Pennsylvania State University University Park PA USA

The micro-grain array processor (MGAP) is a family of two-dimensional, micro-grained array processors. The processor cell architecture is extremely compact and simple, ensuring fine grainness, a very high processor density, and programming flexibility. Flexibility is maintained through a programmable interconnect which clusters array cells into larger computational units. We discuss the design and optimization issues of the MGAP-2, both at the processor array and system levels. Various design strategies and tradeoffs are being investigated at both levels. We show how lessons learned from building and using the MGAP-1 have been applied in this new design effort. We also describe our MGAP programming environment and an application example-the two-dimensional discrete cosine transform, a powerful image compression tool.

关键词： Very large scale integration signal processing Discrete cosine transforms Computer science Design optimization signal processing algorithms Mathematics Educational institutions Buildings Programming environments

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Code density optimization for embedded DSP processors using data compression techniques

Code density optimization for embedded DSP processors using ...

引用

conference on advanced Research in VLSI

作者： S.Y. Liao S. Devadas K. Keutzer Department of Eletrical Engineering and Computer Science and Engineering MIT Cambridge MA USA Synopsys Inc. Mountain View CA USA

We address the problem of code size minimization in VLSI systems with embedded DSP processors. Reducing code size reduces the production cost of embedded systems. We use data compression methods to develop code size minimization strategies. We present a framework for code size minimization where the compressed data consists of a dictionary and a skeleton. The dictionary can be computed using popular text compression algorithms. We describe two methods to execute the compressed code that have varying performance characteristics and varying degrees of freedom in compressing the code. Experimental results obtained with a TMS320C25 code generator are presented.

关键词： Digital signal processing Dictionaries Very large scale integration Production systems Costs Embedded system Data compression Minimization methods Skeleton Compression algorithms

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Space-time processing for suppression of bottom reverberation

Space-time processing for suppression of bottom reverberatio...

引用

Asilomar conference on signals, Systems & Computers

作者： H. Cox ORINCON Corporation Arlington VA USA

The major problem for sonars operating in shallow water is the detection of low Doppler targets in the presence of severe bottom reverberation. For a modern sonar with an azimuthally omni-directional transmitter; the Doppler of bottom reverberation is proportional to /spl nu/cos /spl theta/ where /spl nu/ is the speed of the sonar platform and /spl theta/ is measured from the bow or heading direction. For a towed array receiver, reverberation of various Doppler arriving on sidelobes limits the effectiveness of advanced waveforms. This smearing of sidelobe reverberation over a Doppler range of /spl plusmn//spl nu/ makes it difficult to detect targets with speeds less than that of the sonar platform. Standard adaptive beamforming algorithms are ineffective due to the conflict between desire for narrow frequency bins for good Doppler confinement and wide frequency bins for rapid convergence. We present space-time processing algorithms that overcome these difficulties and permit the detection of low Doppler targets from moving platforms.

关键词： Reverberation Sonar detection Frequency Marine vehicles Sonar measurements Scattering Pulse modulation Transmitters Velocity measurement Array signal processing

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A real time software-only H.261 codec

A real time software-only H.261 codec

引用

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

作者： K. Wang J. Normile Hsi-Jung Wu D. Ponceleon K. Chu Kah-Kay Sung Advanced Technology Group Apple Computer Inc. Cupertino CA USA Adv. Technol. Group Apple Comput. Inc. Cupertino CA USA

Video and audio conferencing over networks is becoming increasingly popular due to the availability of video and audio I/O as standard equipment on many computer systems. So far, many algorithms have concentrated on playback only capability. This generally results in unacceptable real-time performance with respect to latency and encoder complexity. We describe a software-only system that allows full duplex video communication. For our analysis and implementation we chose a DCT based method that uses motion estimation and is modelled on the CCITT H.261 standard. We discuss the algorithm, followed by an analysis of the computational requirements for each major block. The results presented show the effect of computational simplifications on signal to noise ratio and image quality. We also examine the processing needs for full resolution coding and project when this will become available.

关键词： Codecs Videoconference Availability Computer networks Delay Discrete cosine transforms Motion estimation Algorithm design and analysis signal to noise ratio Image quality

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PSEUDEC: implementation of the computation-intensive PARTRAN functionality using a dedicated on-line CORDIC co-processor

PSEUDEC: implementation of the computation-intensive PARTRAN...

引用

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

作者： F.T. Moller J.B. Andersen H.R. Jensen O. Olsen F.K. Fink Institute for Electronic Systems University of Aalborg Aalborg Denmark

This paper describes PSEUDEC, a dedicated co-processor and the rationale behind its design. The final goal of our work is to present a single chip solution with low power consumption for an advanced digital hearing aid based on a parameterized transformation of speech (PARTRAN). Characterization of the constituent parts of the PARTRAN algorithm shows that it is well suited for implementation on a heterogeneous architecture. The design strategy used identifies a subset for implementation on dedicated hardware, with a computational complexity roughly equivalent to the performance of a standard 10 MIPS DSP. The subset of PARTRAN implemented by PSEUDEC performs pseudo-decomposition of a 12th order LPC polynomial. An adapted algorithm displays improved dynamic range compared to the conventional solution for DSPs, calculating the amplitude spectrum rather than the power spectrum. Highly pipelined CORDIC-units optimized for the application replaces complex multiplication, trigonometric operations (for e/sup j/spl omega//) and square root (for |a|=/spl radic/(a/sub r//sup 2/+a/sub i//sup 2/)), exploiting the power of CORDIC operations in advanced DSP algorithms. PSEUDEC uses redundant data representation and bit-serial arithmetic, most significant digit first (on-line arithmetic) for efficient implementation of operators and for efficient (inter-operator) communication. The inherent nature of on-line arithmetic and the operators used allows for fast and efficient implementation even when using ordinary standard cells.

关键词： Digital signal processing Arithmetic Coprocessors Energy consumption Auditory system Speech Computer architecture Hardware Computational complexity Linear predictive coding

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