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检索条件"主题词=Signal processing algorithms"

共 43524 条记录，以下是101-110 订阅

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Automated Architectural Exploration for signal processing algorithms

Automated Architectural Exploration for Signal Processing Al...

引用

IEEE Workshop on signal processing Systems (SIPS)

作者： Ramsey Hourani Ravi Jenkal W. Rhett Davis Winser Alexander Electrical and Computer Engineering Department North Carolina State University Raleigh NC USA

This paper presents a design environment for efficiently generating application-specific intellectual property (IP) cores for system level signal processing algorithms. We present our view of a framework that combines common electronic design automation (EDA) tools to alleviate the designer from manually constructing the hardware models and analyzing their performance. We use our framework to efficiently implement design optimizations that improve the performance of the overall hardware architectures. Our framework is well suited for designers with a range of signal processing and hardware expertise. Our framework generates the dedicated IP cores and estimates the performance such as area, critical path delay, and latency within seconds. Parts of our framework also compare different hardware designs for various digital signal processing (DSP) algorithms and allows the designer to make architectural decisions earlier in the hardware design process. We use a GUI-based framework invoked from MATLAB to automatically build and analyze the hardware designs. Our framework generates efficient hardware designs described in SystemC and Verilog code, along with the performance metrics for each architecture. We illustrate the use of our framework by exploring and analyzing architectural variations of two case studies: finite impulse response (FIR) filters and adaptive channel equalizers

关键词： signal processing algorithms Hardware signal design Algorithm design and analysis Electronic design automation and methodology Delay estimation Digital signal processing Finite impulse response filter signal generators Intellectual property

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Improving performance of high precision signal processing algorithms on programmable DSPs

Improving performance of high precision signal processing al...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： M.N. Mahesh M. Mehendale Dept. of Electr. Commun. Eng. Indian Inst. of Sci. Bangalore India

In applications, such as high quality audio, that need more than 16 bits of precision, the processing of signals on a 16-bit DSP requires double precision computation and is hence time consuming. Since in residue number system (RNS), the high precision data is decomposed to a lower precision for its processing, in this paper, we propose RNS for increasing the performance of such applications implemented on a single processor. We apply multirate architectures and also suggest some architectural extensions to the processor to further enhance the performance. The results show that performance improvement of more than 57% can be achieved with these implementations. We also show that the power dissipation can be significantly reduced with such implementations.

关键词： signal processing algorithms Digital signal processing signal processing Finite impulse response filter Application software Dynamic range Computer architecture Power dissipation Software performance Instruments

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Bioradar signal processing algorithms based on Machine Learning

Bioradar Signal Processing Algorithms based on Machine Learn...

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Integrated Intelligence and Communication Systems (ICIICS), International Conference on

作者： Huanyi Guo Wuhan University of Bioengineering Wuhan Hubei China

ISBN: (数字)9798331504960

ISBN: (纸本)9798331504977

Since human physiological signals (e.g., respiration and heart rate) generate very small Doppler shifts, they are highly susceptible to being masked by strong clutter backgrounds. The main research focus of this project is to accurately extract weak targets (i.e., vital signs) from complex environments. The signals received by BioRadar contain vital signs signals and clutter signals. Based on the analysis of the collected data, it is known that vital signals have low signal-to-noise ratio and are characterized by quasi-periodicity and multiple harmonics; whereas clutter can be manifested as Gaussian colored noise. For this reason, this study translates the bio-radar signal processing into the problems of harmonic modeling, clutter suppression, and signal-to-noise ratio enhancement in the presence of Gaussian colored noise. The research objective is to extract the weak vital sign signals of human body from the complex background by machine learning techniques. In order to effectively extract physiological signals such as respiration and heart rate, this paper employ an ultra-wideband bio-radar system and advanced signal processing algorithms, and the experimental results show that the respiratory signal of participant 1 at 0 s is 2.1 mV, the heartbeat signal is 1.0 mV, and the suppressed clutter signal is 0.1 mV, which effectively suppresses the clutter interference with high accuracy and reliability.

关键词： Accuracy Buildings signal processing algorithms Machine learning Harmonic analysis Physiology Clutter Colored noise signal to noise ratio Ultra wideband technology

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An angle recoding scheme for efficient realization of rotation-based digital signal processing algorithms

An angle recoding scheme for efficient realization of rotati...

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Y.H. Hu S. Naganathan Department of Electrical and Computer Engineering University of Wisconsin Madison Madison WI USA Electrical Engineering Department Southern Methodist University Dallas TX USA

The CORDIC (coordinate rotation digital computer) algorithm is an iterative arithmetic procedure for generalized vector rotations. For applications where the angle of rotation is known in advance, it is possible to reduce the number of iterations through a technique (called angle recoding) in which the desired angle of rotation is encoded as a linear combination of very few elementary rotation angles. Unfortunately, an optimal encoding requires exhaustive search of exponentially growing number of possible combinations of these elementary angles. A Greedy algorithm which takes only O(n/sup 2/) operations was developed. It is proved that this algorithm is able to reduce the total number of elementary rotation angles by at least 50%. In the linear rotation case, it is shown that this proposed angle recoding scheme is equivalent to that of the modified Booth's recoding method. Potential applications of the angle recoding scheme to a number of rotation based digital signal processing algorithms are discussed.< >

关键词： Digital signal processing signal processing algorithms Vectors Iterative algorithms Iterative methods Digital arithmetic Application software Encoding Digital filters Singular value decomposition

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Fixpt: a C++ method for development of fixed point digital signal processing algorithms

Fixpt: a C++ method for development of fixed point digital s...

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Annual Hawaii International Conference on System Sciences (HICSS)

作者： W. Cammack M. Paley Integrated Systems Laboratory Texas Instruments Inc. Dallas TX USA

This paper describes a C++ class, fixpt /spl minus/ a new data type used for development of fixed point algorithms. Fixpt is designed to reduce the development time incurred during the conversion of floating point algorithms into equivalent fixed point implementations on fixed point processors or custom designed ASIC hardware. Fixpt allows each variable in a C++ program to be declared with a user defined whole and fractional size. For example, the C++ statement "fixpt var1 (6,10);" creates a fixpt variable with 6 bits for the whole part and 10 bits for the fractional part. During program execution, the fixpt class handles detection and management of overflow and underflow conditions, thus allowing the programmer to quickly identify which variables are incorrectly sized. The fixpt class also provides extensive debugging aids and user definable overflow function. Basic functionality of the class, along with comparisons between floating point and fixpt algorithms, such as audio decompression, are presented.< >

关键词： Digital signal processing signal processing algorithms Algorithm design and analysis Hardware Sun Runtime Error correction Laboratories Instruments Application specific integrated circuits

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Novel adaptive signal processing algorithms for multiuser detection

Novel adaptive signal processing algorithms for multiuser de...

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IEEE Region 8 International Symposium on Video/Image processing and Multimedia Communications (EURASIP)

作者： J. Levendovszky L. Kovacs G. Jeney Department of Telecommunications Budapest University슠of슠Technology슠and슠Economics Budapest Hungary

The paper is concerned with developing novel multiuser detection algorithms. The main stress is on blind decorrelation of weakly stationary processes which can successfully combat multiuser interference (MUI) and intersymbol interference (ISI). The detector architecture includes an adaptive channel identifier (capable of blind decorrelation), followed by a stochastic Hopfield net which performs the task of multiuser detection. The key contribution to mobile communication lies in two factors: (i) blind decorrelation which can identify the channel even in the case of fading; (ii) the use of the stochastic Hopfield net which can guarantee good performance due to its ability to reach the global minimum of the associated quadratic form. The proposed detector structure is proven to be superior to the RAKE or Viterbi receivers. The results are demonstrated by simulations as well.

关键词： Adaptive signal processing signal processing algorithms Multiuser detection Decorrelation Intersymbol interference Detectors Stochastic processes Stress Mobile communication Fading

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Fast multiscale statistical signal processing algorithms

Fast multiscale statistical signal processing algorithms

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Asilomar Conference on signals, Systems & Computers

作者： A.H. Tewfik M. Kim Department of Electrical Engineering University of Minnesota Minneapolis MN USA

It is shown that a large set of (non necessarily stationary) correlation matrices may be transformed into a matrix that consists of essentially banded subblocks. The transformation is accompanied by pre- and postmultiplication with an orthogonal matrix whose elements are derived from the impulse responses of a suitably designed cascade of alias free multirate analysis filter banks. It is further proved that the Cholesky factor of the transformed matrix also consists of essentially banded subblocks. These two observations are combined to show that the linear positive definite systems of equations that arise in statistical signal processing can be solved in O(max(N log /sup 2/(N), N/sup 2/)) operations while matrix-vector multiplication steps may be implemented in O(n log (N)) operations. An error analysis of the proposed linear positive definite system solver is also provided.< >

关键词： signal processing algorithms Filter bank signal processing Wavelet analysis Equations Linear systems Stochastic processes Matrix decomposition Discrete wavelet transforms Error analysis

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Algebraic methods for the analysis and design of time-frequency signal processing algorithms

Algebraic methods for the analysis and design of time-freque...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： D. Rodriguez J. Seguel E. Cruz Electrical and Computer Engineering Department University of Puerto Rico Puerto Rico Mathematics Department University of Puerto Rico Puerto Rico Elecmcal and Computer Engineering Department University of Puerto Rico Puerto Rico

Some results on the study of algebraic methods for the analysis and design of time-frequency signal processing algorithms are presented. A time-frequency signal is defined as a signal whose spectral characteristics vary with time. Time-frequency signal processing is the mathematical treatment of signals with the objective of extracting relevant information. The processing of time-frequency signals is accomplished through the development of suitable algorithms. Emphasis placed on the analysis, design, and modification of time-frequency algorithms for machine implementation, and on the development of an environment to assist on this implementation. This environment is termed a computational mathematics environment (CME).< >

关键词： Algorithm design and analysis signal analysis signal design Time frequency analysis signal processing algorithms Biomedical signal processing signal processing Mathematics Discrete wavelet transforms Biomedical computing

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The interfacing of signal processing algorithms to full-field models for EMC modelling

The interfacing of signal processing algorithms to full-fiel...

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IEEE International Symposium on Electromagnetic Compatibility (EMC)

作者： Y.K. Choong C. Christopoulos J. Paul P. Sewell D.W.P. Thomas University of Nottingham Nottingham Nottinghamshire UK

Significant advances have been made in recent years in the development of digital signal processing (DSP) algorithms and their exploitation in computational electromagnetics. In the widest sense, one could include in this category various techniques such as neural networks, genetic algorithms etc. In this paper, we focus however in reviewing the application of signal processing techniques to solve particular EMC problems. Two specific problems are addressed. First, the use of modal expansion techniques (MET) is described as applied to the interfacing of thin wires to large electromagnetic models described by a coarse mesh. MET allows accurate placement and description of thin wires irrespective of the mesh spatial resolution. Second, the use of digital filtering interface (DPI) is discussed as applied to the description in time-domain models of general material properties and other features with frequency-dependent properties. It is shown that advanced signal processing techniques can increase substantially the accuracy and efficiency of numerical solvers.

关键词： signal processing algorithms Electromagnetic compatibility Digital signal processing Wires Computational electromagnetics Neural networks Genetic algorithms Electromagnetic modeling Spatial resolution Digital filters

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A software development tool for scheduling signal processing algorithms on multiprocessors with arbitrary interconnectivity

A software development tool for scheduling signal processing...

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

作者： G. Mirchandani P. Twombly Department of Computer Science and Electrical Engineering University of Vermont Burlington VT USA General Technology Division International Business Machines Corporation Essex Junction VT USA

A multiprocessor scheduler has been developed for scheduling signal processing and other algorithms on programmable digital signal processors that can be connected in a common-bus or hypercube topology. The scheduler requires an acyclic precedence graph of the algorithm and the cost of all interprocessor communications. The software tool permits the user to select from among three different scheduling algorithms. The first is a heuristic method, the second uses dynamic programming, and the third uses integer linear programming. Schedules for six practical signal processing algorithms are obtained, and throughput rates are compared to those obtained with uniprocessor implementation.< >

关键词： Programming signal processing signal processing algorithms Processor scheduling Scheduling algorithm Digital signal processing Digital signal processors Hypercubes Topology Costs

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