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检索条件"主题词=Signal Processing Algorithms"

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On the "Desired behavior" of adaptive signal processing algorithms

On the "Desired behavior" of adaptive signal processing algo...

引用

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

作者： D. Farden J. Goding K. Sayood Department of Electrical Engineering University of Rochester Rochester NY USA

Sufficient conditions are presented for establishing "desirable" convergence properties of commonly used adaptive signal processing algorithms which use correlated training data. The family of algoriths considered includes the Widrow LMS algorithm. Desirable properties include, e.g., an asymptotic bound on the mean-square error between the parameter vector trained by the adaptive algorithm and the optimal solution. This asymptotic bound should decrease with decreasing step size. The results contained in this paper illustrate the trade-offs involved in choosing the step size to achieve an acceptable convergence rate as well as an acceptable steady state error. The sufficient conditions include bounded data and easily verified covariance decay rate conditions.

关键词： Adaptive signal processing signal processing algorithms Training data Convergence Sufficient conditions Adaptive equalizers Random sequences Hardware Eigenvalues and eigenfunctions

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Efficient implementation of one and two dimensional digital signal processing algorithms on a multi-processor architecture

Efficient implementation of one and two dimensional digital ...

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

作者： T. Barnwell S. Gaglio C. Hodges Georgia Institute of Technology Atlanta Georgia School of Electrical Engineering Georgia Institute of Technology Atlanta GA USA

This paper describes the features of a multimicroprocessor architecture for digital signal processing. The use of a multiport optical memory as a design component, along with the synchronous operation of the processors, allows particularly efficient implementation for one and two dimensional finite impulse response and infinite impulse response filters. This paper also describes an approach to the automatic generation of efficient code for the multi-microprocessor architecture being implemented for a class of linear DSP algorithms.

关键词： Digital signal processing signal processing algorithms Fires Sun Kernel Processor scheduling Concurrent computing Equations Counting circuits

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Decrease in the computational complexity of the signal processing algorithms for passive radars using the signals of illuminators of opportunity

Decrease in the computational complexity of the signal proce...

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Annual Siberian Russian Workshop on Electron Devices and Materials (EDM)

作者： Eugeniy V. Rogozhnikov Dmitriy A. Pokamestov Renat R. Abenov Tomsk State University of Control Systems and Radioelectronics Tomsk Russia

This article describes methods to reduce the computational complexity of signal processing algorithms in passive radar systems using signals of opportunity. Review of existing algorithms is produced. signal processing algorithms for passive radar systems, which reduces the computational cost are developed. Noise influence to the proposed algorithm is investigated.

关键词： Passive radar signal processing algorithms Electron devices Lighting Correlation Correlators

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The Use of signal processing algorithms in EMC

The Use of Signal Processing Algorithms in EMC

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EMC'98 ROMA International Symposium on Electromagnetic Compatibility

作者： Bruno Audone Fulvio Bresciani Alenia Spazio Torino Italy

ISBN: (纸本)9798331500016

Statistical signal processing is applied to estimate the geometrical and electrical characteristics of narrowband emissive sources. The key issue of the approach is based upon the use of MUSIC algorithm, which is largely used in array processing in far field conditions, to estimate the positions and the characteristics of emissive sources operating in near field conditions. The processing is divided in two phases : detection aimed to define the type of source and the estimation aimed to pinpoint the actual geometrical position of the source.

关键词： Vectors Sensor arrays Multiple signal classification Sensors Estimation Electromagnetic compatibility Transmission line matrix methods signal processing algorithms Open area test sites Mathematical models

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A hearing aid simulator to test adaptive signal processing algorithms

A hearing aid simulator to test adaptive signal processing a...

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IEEE International Symposium on Intelligent signal processing

作者： Raul Vicen-Bueno Roberto Gil-Pita Manuel Utrilla-Manso Lorena Alvarez-Perez Departamento de Teoría de la Señal y Comunicaciones Universidad de Alcalá Escuela Politécnica Madrid Spain

ISBN: (纸本)9781424408290;1424408296

This paper deals with the description of a hearing aid simulation tool. This tool simulates the real behavior of digital DSP-based hearing aids with the aim of getting a very promising performance, which can be used for further design and research, and for a better fitting of the hearing impaired patient. The main parameters to program are the noise reduction techniques and the compression and feedback reduction algorithms. Also any other configuration is possible due to the access to the simulated signals in the hearing aid. So we can get a very promising performance which can be used for further design and research and for a better fitting of the hearing impaired patient. Results using a multilevel multifrequency hearing aid with real data collected from 18 patients show how the multifrequency compression techniques adapt the normal perceptible sounds to the hearing impaired patient perceiving area.

关键词： Auditory system Testing Adaptive signal processing signal processing algorithms Feedback Mathematical model Circuit simulation Hearing aids Digital signal processing Noise reduction

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A Comparison of Real-Time Performance of signal processing algorithms for Minimum Latency Detection of Hypovolemic States

A Comparison of Real-Time Performance of Signal Processing A...

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

作者： Emil Jovanov Paul Cox J. Philip Saul Jose Salinas Kathy L. Ryan Victor A. Convertino Electrical and Computer Engineering University of Alabama Huntsville Huntsville AL USA PERL Research LLC Huntsville Alabama U.S.A. MUSC Childrens Hospital Charleston SC USA U.S. Army Institute of Surgical Research Fort Sam Houston TX USA

algorithms for real-time ambulatory monitoring of physiological signals often run on platforms which have very limited processing power and memory. Therefore, in addition to functionality, it is necessary to carefully consider real-time performance requirements. This is particularly important for physiological monitoring of life threatening conditions such as hemorrhage. In this paper we present a comparison of several algorithms as candidates for implementation on a prehospital ambulatory monitor of hypovolemic states. The algorithms were tested on data from lower body negative pressure (LBNP) experiments that were used to simulate hypovolemic states. We also present a promising real-time wavelet algorithm for heart rate variability (HRV) processing in prehospital ambulatory monitoring applications

关键词： signal processing algorithms Delay Biomedical monitoring Heart rate variability Hemorrhaging Patient monitoring Computerized monitoring Blood Biological system modeling Humans

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Fast multiscale statistical signal processing algorithms

Fast multiscale statistical signal processing algorithms

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

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

It is shown that a large set of (not necessarily stationary) correlation matrices may be transformed into a matrix that consists of essentially banded subblocks. The transformation is accomplished by premultiplication and postmultiplication with an orthogonal matrix whose elements are derived from the impulse response 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 Wavelet analysis Equations Matrix decomposition signal analysis Linear systems Discrete wavelet transforms signal processing Error analysis

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EVM Testing of Wireless OFDM Transceivers Using Intelligent Back-End Digital signal processing algorithms

EVM Testing of Wireless OFDM Transceivers Using Intelligent ...

引用

IEEE International Test Conference

作者： V. Natarajan H. Choi D. Lee R. Senguttuvan A. Chatterjee Georgia Institute of Technology Atlanta GA USA

In production testing of wireless systems, measurement of EVM (a critical spec that is directly related to bit error rate) incurs significant test time due to the large numbers of symbols that need to be transmitted for reasons of accuracy. In our approach, EVM is modeled as a function of the system static non-idealities (IQ mismatch, gain, IIP3 parameters) and dynamic non-idealities (system noise, VCO phase noise). Using a selected subset of the OFDM tones, the static parameters are calculated first. These are then used to facilitate noise estimation using a back-end constellation compensation and noise amplification procedure. The data generated is used to predict EVM using machine learning methods. Significant reduction in test time is achieved with little loss in test accuracy.

关键词： OFDM Transceivers Digital signal processing signal processing algorithms System testing Phase noise Production systems Time measurement Bit error rate Voltage-controlled oscillators

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Adaptive signal processing algorithms for time delay estimates and tracking

Adaptive signal processing algorithms for time delay estimat...

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Southeastern Symposium on System Theory

作者： S. Park Y.T. Kim Department of Electrical Engineering University of Pittsburgh Pittsburgh PA USA Department of Electrical Engineering Parks College of Saint Louis University Cahokia IL USA

A detail comparison of two adaptive algorithms for time-delay estimation and moving-source tracking is presented. These are: (1) B. Widrow's least-mean-square algorithm (1975), and (2) an adaptive short-term correlator algorithm. The desired comparison is carried out using a digital computer simulation. Bandlimited signals which are perturbed by white Gaussian noise and received at two sensors are considered at various bandwidths and signal-to-noise ratios.< >

关键词： Adaptive signal processing signal processing algorithms Delay effects Delay estimation Adaptive algorithm Correlators Computer simulation Gaussian noise Bandwidth signal to noise ratio

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Efficient signal processing algorithms for Radar and Telecommunication Systems

Efficient Signal Processing Algorithms for Radar and Telecom...

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International Conference on Advances in Computing, Communications and Informatics

作者： Rostislav I. Sokolov Denis A. Dolmatov Renat R. Abdullin Institute of Radioelectronics and Informational Technologies Ural Federal University named after the first President of Russia B.N. Yeltsin Yekaterinburg Russian Federation

ISBN: (纸本)9781509020300

It is proposed to develop a quasi-optimal RF-pulse signal receiver algorithm based on Markov theory of nonlinear filtering. Evaluating the synthesized algorithm efficiency is founded on a semi-natural experiment of processing the signal mixed with Johnson or white Gaussian noises. The developed algorithm has been simulated in Simulink MatLab. The experiment was implemented on the installation of the wireless communication National Instruments PXIe-1075. The gain in the signal to noise ratio of the nonlinear Markov filtering algorithm compared with the adaptive algorithm is from 2 to 5 dB for white Gaussian noise and various Johnson noises for correct reception error probability equaled to 0.1. The S_L Johnson noise has the best masking effect, and the S_B Johnson noise has the worst one.

关键词： Adaptive filters Digital signal processing Filtering algorithms Gaussian noise Markov processes Nonlinear filters signal processing algorithms

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