國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Analog and digital signal analysisfr...

SpringerLink (Online service)

Analog and digital signal analysisfrom basics to applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Analog and digital signal analysisby Frederic Cohen Tenoudji.
其他題名:	from basics to applications /
作者:	Tenoudji, Frederic Cohen.
出版者:	Cham :Springer International Publishing :2016.
面頁冊數:	xxiii, 608 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Signal processingMathematics.
電子資源:	http://dx.doi.org/10.1007/978-3-319-42382-1
ISBN:	9783319423821$q(electronic bk.)

Analog and digital signal analysisfrom basics to applications /
Tenoudji, Frederic Cohen.

Analog and digital signal analysisfrom basics to applications /[electronic resource] :by Frederic Cohen Tenoudji. - Cham :Springer International Publishing :2016. - xxiii, 608 p. :ill. (some col.), digital ;24 cm. - Modern acoustics and signal processing,2364-4915. - Modern acoustics and signal processing..

Notions on Systems -- First and Second Order Systems -- Fourier Series -- The Dirac Distribution -- Fourier Transform -- Fourier Transform and LTI Filter Systems -- Fourier Transforms and Convolution Calculations -- Impulse Response of LTI Systems -- Laplace Transform -- Analog Filters -- Causal Signals - Analytic Signals -- Time-Frequency Analysis -- Notions On Digital Signals -- Discrete Systems - Moving Average Systems -- Z -Transform -- Fourier Transform Of Digital Signals -- Autoregressive Systems (Ar) - Arma Systems -- Minimum Phase Systems; Deconvolution -- Wavelets; Multiresolution Analysis -- Parametric Estimation - Modelisation Of Deterministic Signals - Linear Prediction -- Random Signals - Statistics Basis -- Multiple Random Variables- Linear Regression - Maximum Likelihood Estimation -- Correlation And Covariance Matrices Of A Complex Random Vector -- Correlation Functions - Power Spectral Densites Of Random Signals -- Ergodicity; Temporal And Spectral Estimations -- Parametric Modeling Of Random Signals -- Optimal Filtering - Wiener, Kalman, Filters -- Appendix 1. Appendix 2 -- Appendix 3 -- Bibliography -- Index.

This book provides comprehensive, graduate-level treatment of analog and digital signal analysis suitable for course use and self-guided learning. This expert text guides the reader from the basics of signal theory through a range of application tools for use in acoustic analysis, geophysics, and data compression. Each concept is introduced and explained step by step, and the necessary mathematical formulae are integrated in an accessible and intuitive way. The first part of the book explores how analog systems and signals form the basics of signal analysis. This section covers Fourier series and integral transforms of analog signals, Laplace and Hilbert transforms, the main analog filter classes, and signal modulations. Part II covers digital signals, demonstrating their key advantages. It presents z and Fourier transforms, digital filtering, inverse filters, deconvolution, and parametric modeling for deterministic signals. Wavelet decomposition and reconstruction of non-stationary signals are also discussed. The third part of the book is devoted to random signals, including spectral estimation, parametric modeling, and Tikhonov regularization. It covers statistics of one and two random variables and the principles and methods of spectral analysis. Estimation of signal properties is discussed in the context of ergodicity conditions and parameter estimations, including the use of Wiener and Kalman filters. Two appendices cover the basics of integration in the complex plane and linear algebra. A third appendix presents a basic Matlab toolkit for computer signal analysis. This expert text provides both a solid theoretical understanding and tools for real-world applications. Presents the core principles of analog and digital signal analysis Discusses applications to geophysics, acoustic analysis, and data compression Features worked examples, problem sets, and extensive appendices.

ISBN: 9783319423821$q(electronic bk.)

Standard No.: 10.1007/978-3-319-42382-1doiSubjects--Topical Terms:

183873
Signal processing
--Mathematics.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.3822

Analog and digital signal analysisfrom basics to applications /
LDR:04169nmm a2200337 a 4500 001 496363
003 DE-He213
005 20170220091908.0
006 m d
007 cr nn 008maaau
008 170323s2016 gw s 0 eng d
020 $a 9783319423821$q(electronic bk.)
020 $a 9783319423807$q(paper)
024 7 $a 10.1007/978-3-319-42382-1 $2 doi
035 $a 978-3-319-42382-1
040 $a GP $c GP
041 1 $a eng $h fre
050 4 $a TK5102.9
072 7 $a PHDS $2 bicssc
072 7 $a SCI001000 $2 bisacsh
082 0 4 $a 621.3822 $2 23
090 $a TK5102.9 $b .T312 2016
100 1 $a Tenoudji, Frederic Cohen. $3 758831
240 1 0 $a Analyse des signaux analogiques et numeriques. $l English
245 1 0 $a Analog and digital signal analysis $h [electronic resource] : $b from basics to applications / $c by Frederic Cohen Tenoudji.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xxiii, 608 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Modern acoustics and signal processing, $x 2364-4915
505 0 $a Notions on Systems -- First and Second Order Systems -- Fourier Series -- The Dirac Distribution -- Fourier Transform -- Fourier Transform and LTI Filter Systems -- Fourier Transforms and Convolution Calculations -- Impulse Response of LTI Systems -- Laplace Transform -- Analog Filters -- Causal Signals - Analytic Signals -- Time-Frequency Analysis -- Notions On Digital Signals -- Discrete Systems - Moving Average Systems -- Z -Transform -- Fourier Transform Of Digital Signals -- Autoregressive Systems (Ar) - Arma Systems -- Minimum Phase Systems; Deconvolution -- Wavelets; Multiresolution Analysis -- Parametric Estimation - Modelisation Of Deterministic Signals - Linear Prediction -- Random Signals - Statistics Basis -- Multiple Random Variables- Linear Regression - Maximum Likelihood Estimation -- Correlation And Covariance Matrices Of A Complex Random Vector -- Correlation Functions - Power Spectral Densites Of Random Signals -- Ergodicity; Temporal And Spectral Estimations -- Parametric Modeling Of Random Signals -- Optimal Filtering - Wiener, Kalman, Filters -- Appendix 1. Appendix 2 -- Appendix 3 -- Bibliography -- Index.
520 $a This book provides comprehensive, graduate-level treatment of analog and digital signal analysis suitable for course use and self-guided learning. This expert text guides the reader from the basics of signal theory through a range of application tools for use in acoustic analysis, geophysics, and data compression. Each concept is introduced and explained step by step, and the necessary mathematical formulae are integrated in an accessible and intuitive way. The first part of the book explores how analog systems and signals form the basics of signal analysis. This section covers Fourier series and integral transforms of analog signals, Laplace and Hilbert transforms, the main analog filter classes, and signal modulations. Part II covers digital signals, demonstrating their key advantages. It presents z and Fourier transforms, digital filtering, inverse filters, deconvolution, and parametric modeling for deterministic signals. Wavelet decomposition and reconstruction of non-stationary signals are also discussed. The third part of the book is devoted to random signals, including spectral estimation, parametric modeling, and Tikhonov regularization. It covers statistics of one and two random variables and the principles and methods of spectral analysis. Estimation of signal properties is discussed in the context of ergodicity conditions and parameter estimations, including the use of Wiener and Kalman filters. Two appendices cover the basics of integration in the complex plane and linear algebra. A third appendix presents a basic Matlab toolkit for computer signal analysis. This expert text provides both a solid theoretical understanding and tools for real-world applications. Presents the core principles of analog and digital signal analysis Discusses applications to geophysics, acoustic analysis, and data compression Features worked examples, problem sets, and extensive appendices.
650 0 $a Signal processing $x Mathematics. $3 183873
650 0 $a Signal processing $x Digital techniques. $3 182126
650 1 4 $a Physics. $3 179414
650 2 4 $a Acoustics. $3 242702
650 2 4 $a Signal, Image and Speech Processing. $3 273768
650 2 4 $a Fourier Analysis. $3 273776
650 2 4 $a Communications Engineering, Networks. $3 273745
650 2 4 $a Information and Communication, Circuits. $3 276027
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Modern acoustics and signal processing. $3 591536
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-42382-1
950 $a Physics and Astronomy (Springer-11651)