Modern Signal Processing / / Xian-Da Zhang.
The book systematically introduces theories of frequently-used modern signal processing methods and technologies, and focuses discussions on stochastic signal, parameter estimation, modern spectral estimation, adaptive filter, high-order signal analysis and non-linear transformation in time-domain s...
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Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1 |
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Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2022] ©2023 |
Year of Publication: | 2022 |
Language: | English |
Series: | De Gruyter STEM
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Online Access: | |
Physical Description: | 1 online resource (XIV, 587 p.) |
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Other title: | Frontmatter -- Acknowledgements -- Contents -- 1 Random Signals -- 2 Parameter Estimation Theory -- 3 Signal Detection -- 4 Modern Spectral Estimation -- 5 Adaptive Filter -- 6 Higher-Order Statistical Analysis -- 7 Linear Time-Frequency Transform -- 8 Quadratic Time-frequency Distribution -- 9 Blind Signal Separation -- 10 Array Signal Processing -- Index -- Bibliography |
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Summary: | The book systematically introduces theories of frequently-used modern signal processing methods and technologies, and focuses discussions on stochastic signal, parameter estimation, modern spectral estimation, adaptive filter, high-order signal analysis and non-linear transformation in time-domain signal analysis. With abundant exercises, the book is an essential reference for graduate students in electrical engineering and information science. |
Format: | Mode of access: Internet via World Wide Web. |
ISBN: | 9783110475562 9783111175782 9783110993899 9783110994810 9783110994223 9783110994193 |
DOI: | 10.1515/9783110475562 |
Access: | restricted access |
Hierarchical level: | Monograph |
Statement of Responsibility: | Xian-Da Zhang. |