Digital Signal Processing with Matlab Examples, Volume 3 (Record no. 80632)
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| fixed length control field | 03547nam a22005175i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-981-10-2540-2 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220801222319.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 161123s2017 si | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789811025402 |
| -- | 978-981-10-2540-2 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 621.382 |
| 100 1# - AUTHOR NAME | |
| Author | Giron-Sierra, Jose Maria. |
| 245 10 - TITLE STATEMENT | |
| Title | Digital Signal Processing with Matlab Examples, Volume 3 |
| Sub Title | Model-Based Actions and Sparse Representation / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2017. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XVI, 431 p. 201 illus., 80 illus. in color. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Signals and Communication Technology, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 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 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-981-10-2540-2 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Singapore : |
| -- | Springer Nature Singapore : |
| -- | Imprint: Springer, |
| -- | 2017. |
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| -- | computer |
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| -- | online resource |
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| 347 ## - | |
| -- | text file |
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| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Signal processing. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Signal, Speech and Image Processing . |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 1860-4870 |
| 912 ## - | |
| -- | ZDB-2-ENG |
| 912 ## - | |
| -- | ZDB-2-SXE |
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