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正版新书]国外电子信息类系列教材:统计与自适应信号处理(英文
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CHAPTER 1 Introduction
CHAPTER 2 Random Sequences
CHAPTER 3 Linear Signal Models
CHAPTER 4 Nonparametric Power Spectrum Estimation
CHAPTER 5 Optimum Linear Filters
CHAPTER 6 Algorthms and Structures for Optimum Linear Filters
CHAPTER 7 Least-squares Filtering and Prediction
CHAPTER 8 Signal Modeling and Parametric Spectral Estimation
CHAPTER 9 adaptive Filters
Problems
StephenM.Kogon:于佐治亚理工学院获得电气工程博士学位,现任美国麻省林肯实验室研究员;曾就职于Raytheon公司、波士顿大学和佐治亚技术研究所。 VinayK.Ingle:于伦斯勒理工学院获得电气和计算机工程的博士学位,曾在多所大学讲授过信号处理课程,具有丰富的研究经历;1981年加入美国东北大学,目前在电气工程和计算机系任职。 DimitrisG.Manolakis:于希腊雅典大学获得物理学士学位和电气工程博士学位,现任美国麻省林肯实验室研究员;曾在Riverside研究所任主任研究员,并曾在雅典大学、美国东北大学、波士顿学院、沃切斯特理工学院任教。
《国外电子信息类系列教材:统计与自适应信号处理(英文改编版)》由Dimitris G.Manolakis、Vinay K.Ingle、Stephen M.Kogon著,阔永江改编,内容:Chapter 1 introduces the basic concepts and applications of statistical and adaptive signal processing and provides an overview of the book.Chapters 2 introduce some basic concepts of estimation theory.Chapter 3 provides a treatment of parametric linear signal models in the time and frequency domains.Chapter 4 presents the most practical methods for the estimation of correlation and spectral densities.Chapter 5 provides a detailed study of the theoretical properties of optimum filters,assuming that the relevant signals can be modeled as stochastic processes with known statistical properties; and Chapter 6 contains algorithms and structures for optimum filtering,signal modeling,and prediction.Chapter 7 introduces the principle of least-squares estimation and its application to the design of practical filters and predictors……
《统计与自适应信号处理(英文改编版)》由DimitrisG.Manolakis、VinayK.Ingle、StephenM.Kogon著,阔永江改编,内容:Chapter1introducesthebasicconceptsandapplicationsofstatisticalandadaptivesignalprocessingandprovidesanoverviewofthebook.Chapters2introducesomebasicconceptsofestimationtheory.Chapter3providesatreatmentofparametriclinearsignalmodelsinthetimeandfrequencydomains.Chapter4presentsthemostpracticalmethodsfortheestimationofcorrelationandspectraldensities.Chapter5providesadetailedstudyofthetheoreticalpropertiesofoptimumfilters,assumingthattherelevantsignalscanbemodeledasstochasticprocesseswithknownstatisticalproperties;andChapter6containsalgorithmsandstructuresforoptimumfiltering,signalmodeling,andprediction.Chapter7introducestheprincipleofleast-squaresestimationanditsapplicationtothedesignofpracticalfiltersandpredictors……
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