| 000 | 02657nam a22003618i 4500 | ||
|---|---|---|---|
| 001 | CR9781139015158 | ||
| 003 | UkCbUP | ||
| 005 | 20200124160302.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 110214s2012||||enk o ||1 0|eng|d | ||
| 020 | _a9781139015158 (ebook) | ||
| 020 | _z9780521516884 (hardback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
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| 050 | 0 | 0 |
_aQA404.5 _b.W36 2012 |
| 082 | 0 | 0 |
_a515.723 _222 |
| 100 | 1 |
_aWang, Ruye, _eauthor. |
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| 245 | 1 | 0 |
_aIntroduction to orthogonal transforms : _bwith applications in data processing and analysis / _cRuye Wang. |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2012. |
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| 300 |
_a1 online resource (xxii, 568 pages) : _bdigital, PDF file(s). |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 500 | _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). | ||
| 505 | 0 | _a1. Signals and systems -- 2. Vector spaces and signal representation -- 3. Continuous-time Fourier transform -- 4. Discrete-time Fourier transform -- 5. Applications of the Fourier transforms -- 6. The Laplace and [zeta]-transforms -- 7. Fourier-related orthogonal transforms -- 8. The Walsh-Hadamard, slant, and Haar transforms -- 9. Kaarhunen-Loève transform and principal component analysis -- 10. Continuous- and discrete-time wavelet transforms -- 11. Multiresolultion analysis and discrete wavelet transform -- A. Review of linear algebra -- B. Review of random variables. | |
| 520 | _aA systematic, unified treatment of orthogonal transform methods for signal processing, data analysis and communications, this book guides the reader from mathematical theory to problem solving in practice. It examines each transform method in depth, emphasizing the common mathematical principles and essential properties of each method in terms of signal decorrelation and energy compaction. The different forms of Fourier transform, as well as the Laplace, Z-, Walsh-Hadamard, Slant, Haar, Karhunen-Loève and wavelet transforms, are all covered, with discussion of how each transform method can be applied to real-world experimental problems. Numerous practical examples and end-of-chapter problems, supported by online Matlab and C code and an instructor-only solutions manual, make this an ideal resource for students and practitioners alike. | ||
| 650 | 0 | _aFunctions, Orthogonal. | |
| 650 | 0 | _aOrthogonal polynomials. | |
| 650 | 0 | _aOrthogonal arrays. | |
| 650 | 0 | _aOrthogonalization methods. | |
| 776 | 0 | 8 |
_iPrint version: _z9780521516884 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1017/CBO9781139015158 |
| 999 |
_c520433 _d520431 |
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