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| Title | Randomness and Elements of Decision Theory Applied to Signals |
| Author(s) | Borda, Monica;Terebes, Romulus;Malutan, Raul;Ilea, Ioana;Cislariu, Mihaela;Miclea, Andreia;Barburiceanu, Stefania |
| Publication | Cham, Springer International Publishing, 2021. |
| Description | XVII, 242 p. 254 illus., 168 illus. in color : online resource |
| Abstract Note | This book offers an overview on the main modern important topics in random variables, random processes, and decision theory for solving real-world problems. After an introduction to concepts of statistics and signals, the book introduces many essential applications to signal processing like denoising, texture classification, histogram equalization, deep learning, or feature extraction. The book uses MATLAB algorithms to demonstrate the implementation of the theory to real systems. This makes the contents of the book relevant to students and professionals who need a quick introduction but practical introduction how to deal with random signals and processes |
| ISBN,Price | 9783030903145 |
| Keyword(s) | 1. Computer science???Mathematics
2. EBOOK
3. EBOOK - SPRINGER
4. MATHEMATICAL STATISTICS
5. OPERATIONS RESEARCH
6. Operations Research and Decision Theory
7. Probability and Statistics in Computer Science
8. SIGNAL PROCESSING
9. Signal, Speech and Image Processing
10. Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
11. Statistics??
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| Item Type | eBook |
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Circulation Data
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Call# | Status | Issued To | Return Due On | Physical Location |
| I11928 |
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