{"product_id":"fundamentals-of-statistical-signal-processing-detection-theory-volume-2-von-steven-kay-und-steven-m-kay","title":"Fundamentals of Statistical Signal Processing: Detection Theory, Volume 2","description":"\n                                \n                \u003cp\u003eThe most comprehensive overview of signal detection available. \u003c\/p\u003e\n                                  \n                \n                \u003cp\u003eThis is a thorough, up-to-date introduction to optimizing detection algorithms for implementation on digital computers. It focuses extensively on real-world signal processing applications, including state-of-the-art speech and communications technology as well as traditional sonar\/radar systems. \u003c\/p\u003e\n                                  \n                \n                \u003cp\u003eStart with a quick review of the fundamental issues associated with mathematical detection, as well as the most important probability density functions and their properties. Next, review Gaussian, Chi-Squared, F, Rayleigh, and Rician PDFs, quadratic forms of Gaussian random variables, asymptotic Gaussian PDFs, and Monte Carlo Performance Evaluations. \u003c\/p\u003e\n                                  \n                \n                \u003cp\u003eThree chapters introduce the basics of detection based on simple hypothesis testing, including the Neyman-Pearson Theorem, handling irrelevant data, Bayes Risk, multiple hypothesis testing, and both deterministic and random signals. \u003c\/p\u003e\n                                  \n                \n                \u003cp\u003eThe author then presents exceptionally detailed coverage of composite hypothesis testing to accommodate unknown signal and noise parameters. These chapters will be especially useful for those building detectors that must work with real, physical data. Other topics covered include: \u003c\/p\u003e\n                                  \n                \n                \u003cul\u003e\n                                          \n                    \n                    \u003cli\u003eDetection in nonGaussian noise, including nonGaussian noise characteristics, known deterministic signals, and deterministic signals with unknown parameters   \u003c\/li\u003e\n                                        \n                    \u003cli\u003eDetection of model changes, including maneuver detection and time-varying PSD detection   \u003c\/li\u003e\n                                        \n                    \u003cli\u003eComplex extensions, vector generalization, and array processing \u003c\/li\u003e\n                                    \n                \u003c\/ul\u003e\n                                  \n                \n                \u003cp\u003e\n                                        The book makes extensive use of MATLAB, and program listings are included wherever appropriate. Designed for practicing electrical engineers, researchers, and advanced students, it is an ideal complement to Steven M. Kay's \n                    \n                    \u003ci\u003eFundamentals of Statistical Signal Processing, Vol. 1: Estimation Theory\u003c\/i\u003e\n                                         (ISBN: 0-13-345711-7). \n                \n                \u003c\/p\u003e\n                            \n            \u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9780135041352\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Hardcover - 9780135041352","offer_id":57592770527557,"sku":"9780135041352","price":132.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/dd094574-0259-40b6-b3f0-9c4ce7cd55d0.jpg?v=1780632090","url":"https:\/\/shop.autorenwelt.de\/products\/fundamentals-of-statistical-signal-processing-detection-theory-volume-2-von-steven-kay-und-steven-m-kay","provider":"Autorenwelt Shop","version":"1.0","type":"link"}