000 | 01856cam a2200277zu 4500 | ||
---|---|---|---|
001 | 41001510 | ||
003 | FRCYB41001510 | ||
005 | 20250107204504.0 | ||
006 | m o d | ||
007 | cr un | ||
008 | 250107s2006 fr | o|||||0|0|||eng d | ||
020 | _a9780120885817 | ||
035 | _aFRCYB41001510 | ||
040 |
_aFR-PaCSA _ben _c _erda |
||
100 | 1 | _aShiavi, Richard | |
245 | 0 | 1 |
_aIntroduction to Applied Statistical Signal Analysis _c['Shiavi, Richard'] |
264 | 1 |
_bElsevier Science _c2006 |
|
300 | _a p. | ||
336 |
_btxt _2rdacontent |
||
337 |
_bc _2rdamdedia |
||
338 |
_bc _2rdacarrier |
||
650 | 0 | _a | |
700 | 0 | _aShiavi, Richard | |
856 | 4 | 0 |
_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/41001510 _qtext/html _a |
520 | _aIntroduction to Applied Statistical Signal Analysis is designed for the experienced individual with a basic background in mathematics, science, and computer. With this predisposed knowledge, the reader will coast through the practical introduction and move on to signal analysis techniques, commonly used in a broad range of engineering areas such as biomedical engineering, communications, geophysics, and speech. Introduction to Applied Statistical Signal Analysis intertwines theory and implementation with practical examples and exercises. Topics presented in detail include: mathematical bases, requirements for estimation and detailed quantitative examples for implementing techniques for classical signal analysis. This book will help readers understand real-world applications of signal analysis as they relate to biomedical engineering. The presentation style is designed for the upper level undergraduate or graduate student who needs a theoretical introduction to the basic principles of statistical modeling and the knowledge to implement them practically. | ||
999 |
_c58920 _d58920 |