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检索条件"主题词=Signal processing algorithms"

共 43529 条记录，以下是551-560 订阅

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Where algebra meets signal processing: Generating SW/HW implementations of algorithms

Where algebra meets signal processing: Generating SW/HW impl...

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International Symposium on signals, Circuits and Systems (ISSCS)

作者： Jose M. F. Moura Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA

I introduce SPIRAL (***), a generator of libraries of linear signal processing algorithms like linear transforms, including the discrete Fourier transform, the discrete cosine transform, filters, or wavelets, as well as applications lke JPEG2000, Viterbi decoding, and SAR image formation algorithms. SPIRAL is a new breed of intelligent compilers that couples domain knowledge, computer architecture modeling, machine learning methodologies, and compiler technology to generate automatically highly tuned SW codes and very efficient HW IP cores. SPIRAL produces automatically C code with embedded vector and parallel instructions for multicore or multiprocessor architectures, or netlists for FPGA implementations. SPIRAL can optimize for or trade among a range of criteria including runtime, power/energy, accuracy, or area. SPIRAL has been benchmarked against expert hand tuned implementations and has been licensed as a tool by INTEL.

关键词： signal processing algorithms Algebra signal generators Spirals Discrete Fourier transforms Discrete wavelet transforms Computer architecture Libraries Fourier transforms Discrete cosine transforms

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Fast Kalman type algorithms for sequential signal processing

Fast Kalman type algorithms for sequential signal processing

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

作者： G. Carayannis D. Manolakis N. Kalouptsidis Council of Europe Strasbourg France Department of Electronics National and Technical University of Athens Athens Greece Department of Electronics University of Athens (NKUA) Athens Greece

The present paper deals with a new, computationally efficient, algorithm for Sequential Least Squares (LS) estimation. This scheme requires only O(5p) MAD (Multiplications And Divisions) per recursion to update a Kalman type gain vector; p is the number of estimated parameters. In contrast the well-known fast Kalman algorithm requires O(8p) MAD. The introduced method is the fastest known algorithm featured by the rapid convergence characteristics of exact Least Squares estimation schemes. Another interesting feature of the new algorithm is the balanced role, the forward and backward prediction play.

关键词： signal processing algorithms Kalman filters Finite impulse response filter Least squares approximation Recursive estimation Convergence Laser sintering Equations Councils Europe

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algorithms of signal processing in Traveling Wave Fault Location Complexes

Algorithms of Signal Processing in Traveling Wave Fault Loca...

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International Ural Conference on Measurements (UralCon)

作者： Rustem G. Khuziashev Ildar A. Minaev Iskander R. Tukhfatullin Kazan State Power Engineering Univeristy Kazan Russia

ISBN: (数字)9798350386028

ISBN: (纸本)9798350386035

The purpose of the work is to substantiate the possibility traveling wave fault location (TWFL) complex functioning in branched distribution networks of medium voltage class. Traveling waves (TW) are born in the place of fault. The complex registers the time of TW arrival to the ends of the network in a unified satellite time scale. Then the complex calculates the fault location. The main factor complicating the complex's functioning in branched networks of medium voltage class lines is the presence of a large number of concentrated inhomogeneities in the form of nodes with branches. Analytically and with the help of model calculations in PSCAD program, we can obtain TW transmission coefficient through inhomogeneity nodes at different types of faults. The paper shows the experiments' results. A large number of complex's sensors in several ends of the branched network allows us to determine the time TW registration and the speed of their propagation along the lines between paired combinations complex's sensors. Comparison of the registered propagation speed with the speed of light allows us to separate reliable or accurate registrations of the TW beginning from unreliable registrations. It is shown, that the amplitude of the registered TW and the amplitude of stationary and non-stationary noise at the place of registration determine the reliability of the complex operation. The paper compares the results of TW registration generated inside and outside the area controlled by the complex.

关键词： Band-pass filters Noise signal processing algorithms Medium voltage Distribution networks Fault location Nonhomogeneous media Sensors Recording Reliability

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algorithms synthesis and potentiality analysis of optimum ultrawideband signal processing in the radiometric system with modulation

Algorithms synthesis and potentiality analysis of optimum ul...

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International Conference on Antenna Theory and Techniques

作者： V. K. Volosyuk V. V. Pavlikov S. S. Zhyla National Aerospace University N.E. Zhukovsky Kharkiv Aviation Institute Ukraine

algorithms estimate the parameters of UWB radiothermal signals in single-antenna radiometers with modulation are synthesized and investigated within the bounds of method of maximum likelihood. Based on analysis of the matrix inverse to the Fisher in- formation matrix the potential accuracy of estimates of measured parameters and the sensitivity of radiometric systems are investigated.

关键词： Radiometers Modulation Noise signal processing algorithms Algorithm design and analysis Equations

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Research of Digital algorithms Implementing Integrated Mellin Transform for signal processing in Automated Control Systems

Research of Digital Algorithms Implementing Integrated Melli...

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International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)

作者： A. Makarov S. Postovalov A. Ermakov Department of information and communication technologies Pyatigorsk state University G. Pyatigorsk Departments of control systems and information technologies North Caucasus Federal University G. Pyatigorsk

The use of integral transformations for signal processing purposes has long been known-these are the integral Fourier, Hilbert, Laplace, Bessel transformations. In the late 20th and early 21st centuries, the Mellin integral transformation was used to solve signal processing problems under uncertainty of the signal scale and the shape of the noise correlation function. But in the practical application of the Mellin transformation, difficulties arose in its hardware and software implementation. The purpose of this article is to develop suitable for digital implementation of Mellin transform algorithms based on existing hardware and software of computer technology.

关键词： signal processing algorithms signal processing Industrial engineering Transforms Hardware Software Uncertainty

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Research on Heterogeneous Parallel algorithms for Radar signal processing in OpenCL Platform

Research on Heterogeneous Parallel Algorithms for Radar Sign...

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International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Yingfei Wang Xiaoqin Xue Wei Wang Department of Computer Science Xi’an Polytechnic University Xi’an China National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing Institute of Space Long March Vehicle Beijing China

An efficient radar signal processing parallel algorithm for Open Computing Language (OpenCL) is presented in this paper, which reveals a rational allocation schema of tasks between the central processing unit (CPU) and the graphics processing unit (GPU). The powerful parallel processing ability of GPU is used to replace the traditional serial processing method by the way of pipeline acceleration and algorithm parallel acceleration, and the real-time performance of the proposed algorithm is improved by the design idea of intra-module parallelism and inter-module flow processing. The algorithm is applied to CPU-GPU heterogeneous computing platform and has a good portability. The effectiveness and real-time performance of the algorithm are verified through simulation data.

关键词： signal processing algorithms Graphics processing units Radar signal processing Real-time systems Heterogeneous networks Central processing Unit Resource management

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Analysis and design of parallel algorithms and implementations of matrix multiplications for image and signal processing

Analysis and design of parallel algorithms and implementatio...

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IEEE Pacific Rim Conference on Communications, Computers and signal processing

作者： M. Yasrebi J.C. Browne IBM Corporation Austin TX USA Computer Science Department University of Technology Austin TX USA

Parallel matrix multiplication algorithms (based on the common data distribution formats) used in pattern recognition, image processing, and signal processing applications are discussed. A novel algorithm is introduced and is shown to be the fastest one for a determined class of applications. The algorithms are analyzed for performance as a function of array dimension, data distribution formats, and the architecture of the computer upon which the algorithms are executed. Performance bounds and speedups (linear in the number of processors) are established. The results of the analysis are given both as characterizations of executions on selected classes of architectures and also in the form of theorems which establish the relative performance of the algorithms across classes of data distributions and architectures.< >

关键词： Algorithm design and analysis Parallel algorithms signal processing algorithms Application software Performance analysis Computer architecture Pattern recognition Image processing Array signal processing Distributed computing

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Stability and convergence of a class of nonlinear algorithms in digital signal processing

Stability and convergence of a class of nonlinear algorithms...

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International Conference on signals and Systems (ICSigSys)

作者： T.J. Moir Department of Electrical and Electronic Engineering Auckland University of Technology Auckland New Zealand

ISBN: (纸本)9781509067497

Square-root algorithms have use in certain areas of digital signal processing. However, they are characterized as being non-linear in nature and hence their analysis is not straight-forward. This paper examines two such algorithms and shows that the convergence is guaranteed provided the closed-loop discrete-time system is stable, but that the upper limit on stability is determined by the values of the square-root coefficients themselves. The analysis is quite classical but also requires a link between Toeplitz matrices and polynomials to progress further.

关键词： Convolution Convergence Stability analysis Mathematical model Eigenvalues and eigenfunctions Algorithm design and analysis signal processing algorithms

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Stabilized algorithms for ill-posed problems in signal processing

Stabilized algorithms for ill-posed problems in signal proce...

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International Conferences on Info-tech and Info-net (ICII)

作者： Zhang Buyun Xu Dinghua Liu Tangwei Department of Electronic Engineering Nanjing University of Science and Technology of PLA Nanjing China East China Geological Institute Fuzhou Jiangxi China

In this paper we discuss two kinds of ill-posed problems in signal processing, that is, in detail, reconstructing compactly supported signals in the Fourier transform and solving the convolution equation with analytic kernel. Having analyzed the essential reason of ill-posedness for these problems, we present some stabilized algorithms, which cure the ill-posedness, to recover the approximate solution. Finally numerical experiments show the efficiency and fast convergence of these algorithms.

关键词： signal processing algorithms Equations Fourier transforms Image reconstruction Algorithm design and analysis signal processing Convolution Mathematical model signal analysis Kernel

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High performance algorithms for digital signal processing AGC

High performance algorithms for digital signal processing AG...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： G.N. Tavares M.S. Piedade INESC and CEAUTL (INIC) Lisboa Portugal INESC & Univ. Tecnica Lisboa Portugal

New types of discrete-time automatic gain control (AGC) circuits are proposed. The AGCs are based on iterative processes, and both feedforward and feedback structures are considered for two different signal energy detectors: mean absolute deviation (MAD) and root mean square (RMS). The different algorithms were implemented on a digital signal processor, and experimental results are presented.< >

关键词： signal processing algorithms Digital signal processing Iterative algorithms Gain control Circuits Feedback signal processing signal detection Detectors Root mean square

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