Subband Adaptive Filtering Theory and Implementation
Subband Adaptive Filtering Theory and Implementation
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发表时间：
2009
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通讯作者：
Kong Aik LEE;W. Gan;S. Kuo
中科院分区：
文献类型：
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作者：
Kong Aik LEE;W. Gan;S. Kuo
产品描述：子带自适应滤波是自适应信号处理中降低计算复杂度和提高算法收敛速度的最有效的技术之一。这本书提供了一个介绍性的，但广泛的指导理论的各种子带自适应滤波技术。对于初学者，作者讨论的基本原则，根据子带自适应滤波器的设计和实现。对于高级读者，包括最新发展的全面覆盖，如多频带抽头权重自适应，无延迟架构和滤波器组设计方法，以减少带边缘效应。本书还介绍了几种分析技术和复杂性评估，以更好地理解子带自适应滤波。这本书弥合了子带自适应滤波技术的混合域性质之间的差距，并提供了足够的深度，以许多MATLAB®函数和示例增强的材料。主要特点：-作为一个及时的介绍研究人员，研究生和工程师谁想要设计和部署子带自适应滤波器在他们的研究和应用。弥合了两个不同领域之间的差距：自适应滤波器理论和多速率信号处理。通过随附CD上基于MATLAB®的源程序使用实用方法。包括100多个M文件，允许读者修改不同算法和应用程序的代码，并深入了解子带自适应滤波器的理论和概念。子带自适应滤波主要针对实践工程师，以及高年级本科生和研究生。它也将是研究人员，技术管理人员和计算机科学家感兴趣。
Description: Subband adaptive filtering is rapidly becoming one of the most effective techniques for reducing computational complexity and improving the convergence rate of algorithms in adaptive signal processing applications. This book provides an introductory, yet extensive guide on the theory of various subband adaptive filtering techniques. For beginners, the authors discuss the basic principles that underlie the design and implementation of subband adaptive filters. For advanced readers, a comprehensive coverage of recent developments, such as multiband tap–weight adaptation, delayless architectures, and filter–bank design methods for reducing band–edge effects are included. Several analysis techniques and complexity evaluation are also introduced in this book to provide better understanding of subband adaptive filtering. This book bridges the gaps between the mixed–domain natures of subband adaptive filtering techniques and provides enough depth to the material augmented by many MATLAB® functions and examples. Key Features:-Acts as a timely introduction for researchers, graduate students and engineers who want to design and deploy subband adaptive filters in their research and applications.-Bridges the gaps between two distinct domains: adaptive filter theory and multirate signal processing.-Uses a practical approach through MATLAB®-based source programs on the accompanying CD.-Includes more than 100 M-files, allowing readers to modify the code for different algorithms and applications and to gain more insight into the theory and concepts of subband adaptive filters. Subband Adaptive Filtering is aimed primarily at practicing engineers, as well as senior undergraduate and graduate students. It will also be of interest to researchers, technical managers, and computer scientists.