endast ny
Statistical Digital Signal Processing and Modeling Upplaga 1
This new text responds to the dramatic growth in digital signal processing (DSP) over the past decade, and is the product of many years of teaching an advanced DSP course at Georgia Tech. While the focal point of the text is signal modeling, it integrates and explores the relationships of signal modeling to the important problems of optimal filtering, spectrum estimation, and adaptive filtering.
Coverage is equally divided between the theory and philosophy of statistical signal processing, and the algorithms that are used to solve related problems. The text reflects the author's philosophy that a deep understanding of signal processing is accomplished best through working problems. For this reason, the book is loaded with worked examples, homework problems, and MATLAB computer exercises. While the examples serve to illustrate the ideas developed in the book, the problems seek to motivate and challenge the student and the computer exercises allow the student to experiment with signal processing algorithms on complex signals.
Professor Hayes is recognized as a leader in the signal processing community, particularly for his work in signal reconstruction and image processing. This text is suitable for senior/graduate level courses in advanced DSP or digital filtering found in Electrical Engineering Departments. Prerequisites include basic courses in DSP and probability theory.
Upplaga: 1a upplagan
Utgiven: 1996
ISBN: 9780471594314
Förlag: John Wiley & Sons
Format: Häftad
Språk: Engelska
Sidor: 624 st
This new text responds to the dramatic growth in digital signal processing (DSP) over the past decade, and is the product of many years of teaching an advanced DSP course at Georgia Tech. While the focal point of the text is signal modeling, it integrates and explores the relationships of signal modeling to the important problems of optimal filtering, spectrum estimation, and adaptive filtering.
Coverage is equally divided between the theory and philosophy of statistical signal processing, and the algorithms that are used to solve related problems. The text reflects the author's philosophy that a deep understanding of signal processing is accomplished best through working problems. For this reason, the book is loaded with worked examples, homework problems, and MATLAB computer exercises. While the examples serve to illustrate the ideas developed in the book, the problems seek to motivate and challenge the student and the computer exercises allow the student to experiment with signal processing algorithms on complex signals.
Professor Hayes is recognized as a leader in the signal processing community, particularly for his work in signal reconstruction and image processing. This text is suitable for senior/graduate level courses in advanced DSP or digital filtering found in Electrical Engineering Departments. Prerequisites include basic courses in DSP and probability theory.
Ny bok
3382 kr3559 kr
5% studentrabatt med Studentapan
Begagnad bok (0 st)
Varje vecka tillkommer tusentals nya säljare. Bevaka boken så får du meddelande när den finns tillgänglig igen.
Bokens omdömen
Ingen har recenserat den här boken ännu.
Sälj vidare boken när du är klar
När du är klar med boken säljer du enkelt vidare och tjänar pengar på nolltid med Studentapan. Vi tar hand om allt det krångliga så att du får mer tid över till annat. På det sättet kan du tjäna tillbaka det mesta av kostnaden för boken.
Klimatsmart kurslitteratur
Bli en miljöhjälte under din studietid och ge dina gamla kursböcker ett nytt liv. Genom att återanvända dina kursböcker minskar du utsläppen av koldioxid (CO2) med hela 59%. För en psykologstudent skulle det innebära minskade CO2-utsläpp med cirka 240 kg under studietiden. En stor vinst för din plånbok och miljön. Det kallar vi klimatsmart kurslitteratur.
Liknande kurslitteratur
