| 期刊全稱 | Adaptive Filtering | | 期刊簡稱 | Algorithms and Pract | | 影響因子2023 | Paulo Sergio Ramirez Diniz | | 視頻video | http://file.papertrans.cn/145/144642/144642.mp4 | | 學(xué)科分類 | The Springer International Series in Engineering and Computer Science | | 圖書封面 |  | | 影響因子 | The field of Digital Signal Processing has developed so fast in the last two decades that it can be found in the graduate and undergraduate programs of most universities. This development is related to the growing available techno- logies for implementing digital signal processing algorithms. The tremendous growth of development in the digital signal processing area has turned some of its specialized areas into fields themselves. If accurate information of the signals to be processed is available, the designer can easily choose the most appropriate algorithm to process the signal. When dealing with signals whose statistical properties are unknown, fixed algorithms do not process these signals efficiently. The solution is to use an adaptive filter that automatically changes its characteristics by optimizing the internal parameters. The adaptive filtering algorithms are essential in many statistical signal processing applications. Although the field of adaptive signal processing has been subject of research for over three decades, it was in the eighties that a major growth occurred in research and applications. Two main reasons can be credited to this growth, the availability of impl | | Pindex | Book 1997 |
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