소장자료
LDR | 02899camua22002894a 4500 | ||
001 | 0091883478▲ | ||
005 | 20180521030237▲ | ||
008 | 110819s2007 maua b 001 0 eng ▲ | ||
010 | ▼a2007277535▲ | ||
020 | ▼a9780120885817 (alk. paper)▲ | ||
020 | ▼a0120885816 (alk. paper)▲ | ||
035 | ▼a(KERIS)BIB000010979925▲ | ||
040 | ▼aDLC▼cDLC▼dDLC▼d244002▼d221016▲ | ||
050 | 0 | 0 | ▼aTK5102.5▼b.S474 2007▲ |
082 | 0 | 4 | ▼a621.3822▼221▲ |
090 | ▼a621.3822▼bS555i3▲ | ||
100 | 1 | ▼aShiavi, Richard.▲ | |
245 | 1 | 0 | ▼aIntroduction to applied statistical signal analysis :▼bguide to biomedical and electrical engineering applications /▼cRichard Shiavi.▲ |
246 | 3 | ▼aApplied statistical signal analysis▲ | |
250 | ▼a3rd ed.▲ | ||
260 | ▼aBurlington, MA :▼bElsevier/Academic Press,▼cc2007.▲ | ||
300 | ▼axxii, 402 p. :▼bill. ;▼c24 cm.▲ | ||
500 | ▼aIncludes index.▲ | ||
505 | 0 | ▼aIntroduction to Terminology; Empirical Modeling and Approximation; Fourier Analysis; Probability Concepts and Signal Characteristics; Random Processes and Signal Correlation; Random Signals, Linear Systems, and Power Spectra; Spectral Analysis for Random Signals; Random Signal Modeling and Modern Spectral Estimation; Theory and Application of Cross Correlation and Coherence.▲ | |
520 | ▼aIntroduction to Applied Statistical Signal Analysis is designed for the experienced individual with a basic background in mathematics, science, and computer. With this predisposed knowledge, the reader will coast through the practical introduction and move on to signal analysis techniques, commonly used in a broad range of engineering areas such as biomedical engineering, communications, geophysics, and speech. Introduction to Applied Statistical Signal Analysis intertwines theory and implementation with practical examples and exercises. Topics presented in detail include: mathematical bases, requirements for estimation and detailed quantitative examples for implementing techniques for classical signal analysis. This book will help readers understand real-world applications of signal analysis as they relate to biomedical engineering. The presentation style is designed for the upper level undergraduate or graduate student who needs a theoretical introduction to the basic principles of statistical modeling and the knowledge to implement them practically. Accompanied by MATLAB notebooks that provide an interactive mode of learning which can be utilized by professors or independent learners, available from the Companion website. Includes over one hundred worked problems and real world applications. Many of the examples and exercises in the book use measured signals, many from the biomedical domain. Copies of these are available for download from the Companion website. Please visit http://books.elsevier.com/companions/9780120885817 to access accompanying material▲ | ||
650 | 0 | ▼aSignal processing▼xStatistical methods.▲ | |
999 | ▼c정영주▲ |
Introduction to applied statistical signal analysis :guide to biomedical and electrical engineering applications
자료유형
국외단행본
서명/책임사항
Introduction to applied statistical signal analysis : guide to biomedical and electrical engineering applications / Richard Shiavi.
다양한 서명
Applied statistical signal analysis
개인저자
판사항
3rd ed.
발행사항
Burlington, MA : Elsevier/Academic Press , c2007.
형태사항
xxii, 402 p. : ill. ; 24 cm.
일반주기
Includes index.
내용주기
Introduction to Terminology; Empirical Modeling and Approximation; Fourier Analysis; Probability Concepts and Signal Characteristics; Random Processes and Signal Correlation; Random Signals, Linear Systems, and Power Spectra; Spectral Analysis for Random Signals; Random Signal Modeling and Modern Spectral Estimation; Theory and Application of Cross Correlation and Coherence.
요약주기
Introduction to Applied Statistical Signal Analysis is designed for the experienced individual with a basic background in mathematics, science, and computer. With this predisposed knowledge, the reader will coast through the practical introduction and move on to signal analysis techniques, commonly used in a broad range of engineering areas such as biomedical engineering, communications, geophysics, and speech. Introduction to Applied Statistical Signal Analysis intertwines theory and implementation with practical examples and exercises. Topics presented in detail include: mathematical bases, requirements for estimation and detailed quantitative examples for implementing techniques for classical signal analysis. This book will help readers understand real-world applications of signal analysis as they relate to biomedical engineering. The presentation style is designed for the upper level undergraduate or graduate student who needs a theoretical introduction to the basic principles of statistical modeling and the knowledge to implement them practically. Accompanied by MATLAB notebooks that provide an interactive mode of learning which can be utilized by professors or independent learners, available from the Companion website. Includes over one hundred worked problems and real world applications. Many of the examples and exercises in the book use measured signals, many from the biomedical domain. Copies of these are available for download from the Companion website. Please visit http://books.elsevier.com/companions/9780120885817 to access accompanying material
ISBN
9780120885817 (alk. paper) 0120885816 (alk. paper)
청구기호
621.3822 S555i3
소장정보
예도서예약
서서가에없는책 신고
보보존서고신청
캠캠퍼스대출
우우선정리신청
배자료배달신청
문문자발송
출청구기호출력
학소장학술지 원문서비스
등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 서비스 |
---|
북토크
자유롭게 책을 읽고
느낀점을 적어주세요
글쓰기
느낀점을 적어주세요
청구기호 브라우징
관련 인기대출 도서