國立虎尾科技大學 |

Digital signal processing with Matlab examples.. Volume 3,. Model-based actions and sparse representation

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Digital signal processing with Matlab examples./ by Jose Maria Giron-Sierra.
其他題名:	Model-based actions and sparse representation
作者:	Giron-Sierra, Jose Maria.
出版者:	Singapore :Springer Singapore : : 2017.,
面頁冊數:	xvi, 431 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Signal processing - Digital techniques -
電子資源:	http://dx.doi.org/10.1007/978-981-10-2540-2
ISBN:	9789811025402

Digital signal processing with Matlab examples.. Volume 3,. Model-based actions and sparse representation
Giron-Sierra, Jose Maria.

Digital signal processing with Matlab examples.Volume 3,Model-based actions and sparse representation[electronic resource] /Model-based actions and sparse representationby Jose Maria Giron-Sierra. - Singapore :Springer Singapore :2017. - xvi, 431 p. :ill. (some col.), digital ;24 cm. - Signals and communication technology,1860-4862. - Signals and communication technology..

Part VI- Model-based Actions: Filtering, Prediction, Smoothing -- Kalman Filter, Particle Filter and other Bayesian Filters -- Part VII Sparse Representation. Compressed Sensing -- Sparse Representations -- Appendices -- Selected Topics of Mathematical Optimization -- Long Programs.

This is the third volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs. This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study. The code is embedded in the text, helping readers to put into practice the ideas and methods discussed. The book primarily focuses on filter banks, wavelets, and images. While the Fourier transform is adequate for periodic signals, wavelets are more suitable for other cases, such as short-duration signals: bursts, spikes, tweets, lung sounds, etc. Both Fourier and wavelet transforms decompose signals into components. Further, both are also invertible, so the original signals can be recovered from their components. Compressed sensing has emerged as a promising idea. One of the intended applications is networked devices or sensors, which are now becoming a reality; accordingly, this topic is also addressed. A selection of experiments that demonstrate image denoising applications are also included. In the interest of reader-friendliness, the longer programs have been grouped in an appendix; further, a second appendix on optimization has been added to supplement the content of the last chapter.

ISBN: 9789811025402

Standard No.: 10.1007/978-981-10-2540-2doiSubjects--Uniform Titles:

MATLAB.
Subjects--Topical Terms:

561188
Signal processing
--Digital techniques

LC Class. No.: TK5102.9

Dewey Class. No.: 621.3822

Digital signal processing with Matlab examples.. Volume 3,. Model-based actions and sparse representation
LDR:02851nam a2200361 a 4500 001 957305
003 DE-He213
005 20170615140048.0
006 m d
007 cr nn 008maaau
008 201118s2017 si s 0 eng d
020 $a 9789811025402 $q (electronic bk.)
020 $a 9789811025396 $q (paper)
024 7 $a 10.1007/978-981-10-2540-2 $2 doi
035 $a 978-981-10-2540-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5102.9
072 7 $a TTBM $2 bicssc
072 7 $a UYS $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a COM073000 $2 bisacsh
082 0 4 $a 621.3822 $2 23
090 $a TK5102.9 $b .G527 2017
100 1 $a Giron-Sierra, Jose Maria. $3 1248805
245 1 0 $a Digital signal processing with Matlab examples. $n Volume 3, $p Model-based actions and sparse representation $h [electronic resource] / $c by Jose Maria Giron-Sierra.
246 3 0 $a Model-based actions and sparse representation
260 $a Singapore : $c 2017. $b Springer Singapore : $b Imprint: Springer,
300 $a xvi, 431 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Signals and communication technology, $x 1860-4862
505 0 $a Part VI- Model-based Actions: Filtering, Prediction, Smoothing -- Kalman Filter, Particle Filter and other Bayesian Filters -- Part VII Sparse Representation. Compressed Sensing -- Sparse Representations -- Appendices -- Selected Topics of Mathematical Optimization -- Long Programs.
520 $a This is the third volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs. This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study. The code is embedded in the text, helping readers to put into practice the ideas and methods discussed. The book primarily focuses on filter banks, wavelets, and images. While the Fourier transform is adequate for periodic signals, wavelets are more suitable for other cases, such as short-duration signals: bursts, spikes, tweets, lung sounds, etc. Both Fourier and wavelet transforms decompose signals into components. Further, both are also invertible, so the original signals can be recovered from their components. Compressed sensing has emerged as a promising idea. One of the intended applications is networked devices or sensors, which are now becoming a reality; accordingly, this topic is also addressed. A selection of experiments that demonstrate image denoising applications are also included. In the interest of reader-friendliness, the longer programs have been grouped in an appendix; further, a second appendix on optimization has been added to supplement the content of the last chapter.
630 0 0 $a MATLAB. $3 557852
650 0 $a Signal processing $x Digital techniques $x Data processing. $3 561188
650 1 4 $a Engineering. $3 561152
650 2 4 $a Signal, Image and Speech Processing. $3 670837
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Signals and communication technology. $3 632627
856 4 0 $u http://dx.doi.org/10.1007/978-981-10-2540-2
950 $a Engineering (Springer-11647)