{"product_id":"a-first-course-in-statistics-for-signal-analysis-paperback","title":"A First Course in Statistics for Signal Analysis - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eWojbor A. Woyczyński\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e'A First Course in Statistics for Signal Analysis' \u003ci\u003eis a small, dense, and inexpensive book that covers exactly what the title says: statistics for signal analysis. The book has much to recommend it. The author clearly understands the topics presented. The topics are covered in a rigorous manner, but not so rigorous as to be ostentatious. The sequence of topics is clearly targeted at the spectral properties of Gaussian stationary signals. Any student studying traditional communications and signal processing would benefit from an understanding of these topics...In summary, [the work] has much in its favor...This book is most appropriate for a graduate class in signal analysis. It also could be used as a secondary text in a statistics, signal processing, or communications class.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e--JASA\u003c\/b\u003e (Review of the First Edition)\u003c\/p\u003e \u003cp\u003eThis essentially self-contained, deliberately compact, and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, explained in a concise, yet fairly rigorous presentation.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eTopics and Features: \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFourier series and transforms--fundamentally important in random signal analysis and processing--are developed from scratch, emphasizing the time-domain vs. frequency-domain duality;\u003c\/p\u003e \u003cp\u003eBasic concepts of probability theory, laws of large numbers, the central limit theorem, and statistical parametric inference procedures are presented so that no prior knowledge of probability and statistics is required; the only prerequisite is a basic two-three semester calculus sequence;\u003c\/p\u003e \u003cp\u003eComputer simulation algorithms of stationary random signals with a given power spectrum density;\u003c\/p\u003e \u003cp\u003eComplementary bibliography for readers who wish to pursue the study of random signals in greater depth;\u003c\/p\u003e \u003cp\u003eMany diverse examples and end-of-chapter problems and exercises.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eNew to the Second Edition: \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eRevised notation and terminology to better reflect the concepts under discussion;\u003c\/p\u003e \u003cp\u003eMany redrawn figures to better illustrate the scale of the quantities represented;\u003c\/p\u003e \u003cp\u003eConsiderably expanded sections with new examples, illustrations, and commentary;\u003c\/p\u003e \u003cp\u003eAddition of more applied exercises;\u003c\/p\u003e \u003cp\u003eA large appendix containing solutions of selected problems from each of the nine chapters.\u003c\/p\u003e \u003cp\u003eDeveloped by the author over the course of many years of classroom use, \u003ci\u003eA First Course in Statistics for Signal Analysis, Second Edition\u003c\/i\u003e may be used by junior\/senior undergraduates or graduate students in electrical, systems, computer, and biomedical engineering, as well as the physical sciences. The work is also an excellent resource of educational and training material for scientists and engineers working in research laboratories.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis essentially self-contained, deliberately compact, and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, explained in a concise, yet fairly rigorous presentation.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eTopics and Features: \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e- Fourier series and transforms--fundamentally important in random signal analysis and processing--are developed from scratch, emphasizing the time-domain vs. frequency-domain duality;\u003c\/p\u003e\u003cp\u003e- Basic concepts of probability theory, laws of large numbers, the central limit theorem, and statistical parametric inference procedures are presented so that no prior knowledge of probability and statistics is required; the only prerequisite is a basic two-three semester calculus sequence;\u003c\/p\u003e\u003cp\u003e- Computer simulation algorithms of stationary random signals with a given power spectrum density;\u003c\/p\u003e\u003cp\u003e- Complementary bibliography for readers who wish to pursue the study of random signals in greater depth;\u003c\/p\u003e\u003cp\u003e- Many diverse examples and end-of-chapter problems and exercises.\u003c\/p\u003e\u003cp\u003eDeveloped by the author over the course of many years of classroom use, A First Course in Statistics for Signal Analysis, Second Edition may be used by junior\/senior undergraduates or graduate students in electrical, systems, computer, and biomedical engineering, as well as the physical sciences. The work is also an excellent resource of educational and training material for scientists and engineers working in research laboratories. This third edition contains two additional chapters that present wavelets and the uncertainty principle, and the forecasting problems for stationary time series. These two topics are essential for students to attain a deeper understanding of statistical analysis of random signals.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eReviews from previous editions: \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eA First Course in Statistics for Signal Analysis \u003ci\u003eis a small, dense, and inexpensive book that covers exactly what the title says: statistics for signal analysis. The book has much to recommend it. The author clearly understands the topics presented. The topics are covered in a rigorous manner, but not so rigorous as to be ostentatious. \u003c\/i\u003e\u003cb\u003eJASA\u003c\/b\u003e\u003cb\u003e (Review of the First Edition)\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eThis is a nicely written self-contained book and it is a good candidate for adoption as a textbook for upper-level undergraduate and even for a graduate course for engineering and physical sciences students. ... I have no hesitation in recommending it as a textbook for the targeted course and audience.\u003c\/i\u003e \u003cb\u003eTechnometrics, Vol. 53 (4), November, 2011\u003c\/b\u003e \u003cb\u003e(Review of the Second Edition)\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eWojbor A. Woyczyński is a Professor in the Department of Statistics and the Director of the Center for Stochastic and Chaotic Processes in Science and Technology at Case Western Reserve University. His research interests include probability theory, Lévy stochastic processes, random fields and their statistics, nonlinear, stochastic and fractional evolution equations, harmonic and functional analysis, random graphs, statistical physics and hydrodynamics, chaotic dynamics, applications to chemistry, physics, operations research, financial mathematics, medicine, oceanography, and atmospheric physics.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 332\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.73 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 17, 2020\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52705024213299,"sku":"9783030209100","price":136.58,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/eFkrMFJmbVNHai9aODNVNGVFM1hidz09.webp?v=1763369981","url":"https:\/\/www.vysn.com\/en-ca\/products\/a-first-course-in-statistics-for-signal-analysis-paperback","provider":"VYSN","version":"1.0","type":"link"}