This text provides an introduction to the applications of probability theory to the solution of problems arising in the analysis of signals and systems. Since its original publication in 1971, this text has been a standard for signals and systems courses that emphasise probability. The new edition incorporates a much greater use of the computer in examples and problems. It increases the number and variety of examples, such as estimating the parameters of random processes and processing them through linear systems. In this edition, the use of the computer is introduced both in text examples and in selected problems. The computer examples are carried out using MATLAB. A number of new sections have been added relating to Benoulli trials, correlation of data sets, smoothing of data, computer computation of correlation functions, and spectral densities and system simulation. Key Features:* Stresses engineering applications of probability theory* Presents the material at a level and in a manner appropriate for engineering majors, as opposed to mathematics majorsSupplement:Solutions Manual: 0195123557Contents:PrefaceIntroduction to ProbabilityRandom VariablesSeveral Random VariablesElements of StatisticsRandom ProcessesCorrelation FunctionsSpectral DensityRepines of Linear Systems to Random InputsOptimum Linear SystemsAppendices: Mathematical TablesFrequently Encountered Probability DistributionsBinomial CoefficientsNormal Probability Distribution FunctionThe Q-FunctionStudent's T-Distribution FunctionComputer ComputationsTable of Correlation Function-Spectral Density PairsContour IntegrationSince its original publication in 1971, this text has been a standard for signals and systems courses that emphasise probability. The new edition incorporates a much greater use of the computer in examples and problems.
|Title||:||Probabilistic Methods of Signal and System Analysis|
|Author||:||George R. Cooper, Clare D. McGillem|
|Publisher||:||Oxford University Press, USA - 1999|