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检索条件"主题词=Signal processing algorithms"

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algorithms of combined signal processing

Algorithms of combined signal processing

引用

International Conference on Satellite Communications (ICSC)

作者： V.A. Grigoryev A.V. Kuzichkin I.A. Khvorov Military Engineering Space Academy

In this paper we presents the information about classification and realization of the combined signal processing algorithms. The short analysis of algorithms performances are implemented.

关键词： signal processing algorithms signal processing Jamming Polarization Algorithm design and analysis Gradient methods Noise level Convergence Performance analysis Satellite communication

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signal-to-Noise Ratio and Mean Square Error Improving algorithms Based on Newton Filters for Measurement ECG Data processing

Signal-to-Noise Ratio and Mean Square Error Improving Algori...

引用

IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW)

作者： Yeldos A. Altay Artem S. Kremlev Faculty Control Systems and Robotics ITMO University St. Petersburg Russia

ISBN: (数字)9781665404761

ISBN: (纸本)9781665446426

This article presents the results of analysis of measuring ECG signals processing using two new filtering algorithms for low-frequency and high-frequency interference. The presence of such interferences leads to a decrease in the accuracy of the selection of informative components of the measuring signals. To eliminate low-frequency and high-frequency interference, the results of evaluating the effectiveness of two new algorithms for ECG signals are presented. The processing algorithms are based on a polynomial approximation of the high-pass filter and the wide-band notch filter cascade using Newton polynomials. On the basis of these processing algorithms, its performance was analyzed on a priori models of ECG signals and interference, and on the basis of quantitative indicators, its effectiveness was compared with respect to known algorithms. It was found that processing algorithms based on Newton polynomials significantly improve the quality of filtering of measuring ECG signals and indicators of signal-to-noise ratio and mean square error.

关键词： signal processing algorithms Interference Filtering algorithms Electrocardiography signal processing Approximation algorithms signal to noise ratio

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Dynamic algorithms for PMUs — Methods for improving the signal processing effectiveness

Dynamic algorithms for PMUs — Methods for improving the sig...

引用

Conference on Precision Electromagnetic Measurements (CPEM)

作者： Umberto Pogliano INRIM Italy

ISBN: (纸本)9781467391351

This paper describes the signal processing algorithms that can be used for the PMUs operating in a dynamic environment. Dynamic response and rejection to noise, harmonics and interharmonics are discussed and some solutions for improving them, emerging from the technical literature and from some additional tests, are proposed. For example dynamic response can be improved by evaluating the Taylor series as a time function, while the rejection to harmonics by selecting appropriately the observation time.

关键词： signal processing algorithms Heuristic algorithms Phasor measurement units Harmonic analysis Power harmonic filters Synchronization

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

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

引用

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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Non-linear adaptive filters based on genetic algorithms with applications to digital signal processing

Non-linear adaptive filters based on genetic algorithms with...

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IEEE International Conference on Evolutionary Computation

作者： A. Neubauer Department of Communication Engineering Duisburg Gerhard-Mercator-University Duisburg Germany

This paper presents the application of genetic algorithms to the on-line adaptation of non-linear adaptive filters-adaptive systems applicable to, for example, stochastic signal estimation, system identification and the optimization of electronic or optoelectronic signal processors. Given the filter topology, the corresponding filter parameters are estimated using a time-dependent moving error criterion. The genetic algorithm's ability to track temporal changes in the signal statistics is achieved by the use of partial hypermutation. The proposed methodology is applied to the problem of non-linear and non-stationary signal estimation by using the adaptive filter as part of a non-linear prediction error filter. Simulation results for the estimation of autoregressive and bilinear stochastic signal models and a comparison to the least mean squares algorithm are presented demonstrating the suitability of the approach.

关键词： Adaptive filters Genetic algorithms Stochastic systems System identification signal processing Circuit topology Parameter estimation signal processing algorithms Statistics Stochastic processes

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Fast Kalman type algorithms for sequential signal processing

Fast Kalman type algorithms for sequential signal processing

引用

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...

引用

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...

引用

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 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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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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