| 000 | 00843pamuuu200253 a 4500 | |
| 001 | 000000477790 | |
| 003 | OCoLC | |
| 005 | 19970423151711.0 | |
| 008 | 960212s1996 nyua b 001 0 eng | |
| 010 | ▼a 96010241 | |
| 020 | ▼a 0471594318 (hc : alk. paper) | |
| 040 | ▼a DLC ▼c DLC | |
| 049 | ▼a ACSL ▼l 121025290 | |
| 050 | 0 0 | ▼a TK5102.9 ▼b .H39 1996 |
| 082 | 0 0 | ▼a 621.382/2 ▼2 20 |
| 090 | ▼a 621.3822 ▼b H418s | |
| 100 | 1 | ▼a Hayes, M. H. ▼q (Monson H.), ▼d 1949- |
| 245 | 1 0 | ▼a Statistical digital signal processing and modeling / ▼c Monson H. Hayes. |
| 260 | ▼a New York : ▼b John Wiley & Sons, ▼c c1996. | |
| 300 | ▼a xv, 608 p. : ▼b ill. ; ▼c 26 cm. | |
| 504 | ▼a Includes bibliographical references and index. | |
| 650 | 0 | ▼a Signal processing ▼x Digital techniques. |
| 650 | 0 | ▼a Signal processing ▼x Statistical methods. |
| 650 | 0 | ▼a Signal processing ▼x Mathematical models. |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 621.3822 H418s | 등록번호 121025290 (14회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
| No. 2 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 621.3822 H418s | 등록번호 121031520 (17회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
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.
정보제공 :
목차
Background.
Discrete-Time Random Processes.
Signal Modeling.
The Levinson Recursion.
Lattice Filters.
Wiener Filtering.
Spectrum Estimation.
Adaptive Filtering.
Appendix.
Table of Symbols.
Index.
정보제공 :