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161202 ||| eng |
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|a 9789811025402
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| 100 |
1 |
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|a Giron-Sierra, Jose Maria
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| 245 |
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|a Digital Signal Processing with Matlab Examples, Volume 3
|h Elektronische Ressource
|b Model-Based Actions and Sparse Representation
|c by Jose Maria Giron-Sierra
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| 250 |
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|a 1st ed. 2017
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| 260 |
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|a Singapore
|b Springer Nature Singapore
|c 2017, 2017
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| 300 |
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|a XVI, 431 p. 201 illus., 80 illus. in color
|b online resource
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| 505 |
0 |
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|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
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| 653 |
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|a Signal, Speech and Image Processing
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| 653 |
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|a Signal processing
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a Signals and Communication Technology
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| 028 |
5 |
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|a 10.1007/978-981-10-2540-2
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| 856 |
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|u https://doi.org/10.1007/978-981-10-2540-2?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 621.382
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| 520 |
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|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
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