![]() ![]() An experimental study is also provided in order to compare many sparse adaptive filters in different echo cancellation scenarios. Besides a comprehensive review of the basic proportionate-type algorithms, we also present some of the latest developments in the field and propose some new solutions for further performance improvement, e.g., variable step-size versions and novel proportionate-type affine projection algorithms. The goal of this book is to present the most important sparse adaptive filters developed for echo cancellation. Identification of sparse impulse responses was addressed mainly in the last decade with the development of the so-called ``proportionate''-type algorithms. techniques to reduce this problem is by using the digital signal processing technique as known as acoustic echo cancellation (AEC) or telephone line hybrid echo which it will prevent the feedback and at the same time it will allow full-duplex communication. This can be achieved by exploiting the sparseness character of the echo paths. Consequently, it is important to improve the convergence rate and tracking of the conventional algorithms used for these applications. Adaptive filters with a large number of coefficients are usually involved in both network and acoustic echo cancellation.
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