作者:Peyton Z·Peebles Jr 出版年:2000-10 页数:480 定价:$ 116.67 ISBN:9780071181815 豆瓣评分 目前无人评价 评价: 写笔记 写书评 加入购书单 分享到 内容简介· ··· The fourth edition of "Probability, Random Variables and Random Signal Principles" continues the success of previous editions with i...
These include: sampling theory for random processes and how sampling forms the basis for discrete-time random processes. Other new material for digital signal processing (DSP) topics and a summary of DSP systems is included; new examples and problems have been added based on the use of MATLAB ...
Probability, Random Variables, and Random Signal Principles的创作者 ··· Peyton Peebles Jr 作者 我来说两句 短评 ··· 热门 还没人写过短评呢 我要写书评 Probability, Random Variables, and Random Signal Principles的书评 ··· ( 全部0 条 ) 论坛 ··· 在这本书的论坛里发言 + ...
4.A.Leon-Garcia,ProbabilityandRandomProcessesforElectricalEngineering,Addison- Wesley,2ndEdition,1994. 5.H.StarkandJ.W.Woods,ProbabilityandRandomProcesseswithApplicationstoSignal Processing3rdEd.,Prentice-Hall,EnglewoodCliffs,NJ,2001. 6.P.Z.Peebles,Probability,RandomVariables,andRandomSignalPrinciples,3rd.Ed...
Let X and Y be two discrete random variable's defined on the sample space S of an experiment. The joint probability mass function p(x,y) is defined for each pair of numbers (x,y) by p(x,y)=P(X=x and Y=y). It must be the case that p(x,y)⩾0 and ∑x∑yp(x,y)=1....
Operations on a Single Random Variable Probability and Random Processes Book2004, Probability and Random Processes Scott L. Miller, Donald Childers Explore book 4.8 Probability Generating Functions In the world of signal analysis, we often use Fourier transforms to describe continuous time signals, but...
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We consider the probability density function p(y) of the output y(t) of the first-order non linear system á + (y) = x, where x = x(t) is the random telegraph signal and (·) is a non-linear function. Employing extended forms of the Fokker-Planck-Kolmogorov equation, the so-...
当当中华商务进口图书旗舰店在线销售正版《海外直订Probability and Random Processes: With Applications to Signal Processing and Communications》。最新《海外直订Probability and Random Processes: With Applications to Signal Processing and Communications》简介
Probability distribution and density function It is a manner of characterizing random signal to distribute the value at any arbitrarily chosen time. It can be expressed in ‘probability distribution’ i.e. the probability of its variable x(t) is less than or equal to a specified value [74]....