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