This paper presents a new variable step-size normalized subband adaptive filter (VSS-NSAF) algorithm. The proposed algorithm uses the prior knowledge of the system impulse response statistics and the optimal step-size vector is obtained by minimizing the mean-square deviation(MSD). In comparison with NSAF, the VSS-NSAF algorithm has faster convergence speed and lower MSD. To reduce the computa...

In hands-free telephones and teleconferencing systems, acoustic echo cancellers are required, which are often implemented by adaptive filters. In these applications, the speech input signal of the adaptive filter is highly correlated and the impulse response of the echo path is very long. These characteristics will slow down the convergence rate of the adaptive filter if the well-known normaliz...

Subband adaptive filters have been used extensively in system modeling configurations to model unknown systems with large impulse responses. This paper will illustrate the advantages of a non-uniform subband adaptive filter over a uniform subband adaptive filter while giving insight to subband bandwidth allocations for system modeling configurations. By implementing small subbands which isolate...

Adaptive filtering in subbands have originally been proposed to overcome limitations of classic adaptive algorithms in some areas. In general, subband adaptive filters offer computational savings, as well as faster convergence over the classical Least Mean Squared (LMS) algorithm. However, improvements to current subband adaptive filters could be further enhanced by a more elegant choice of the...

Subband blind source separation methods have been recently proposed with the objective of reducing the computational complexity and improving the convergence rate of online adaptive algorithms. Oversampled subband structures, employing uniform DFT filter banks, are usually employed in order to avoid aliasing effects and keep enough samples to estimate the statistics of the subband signals. In t...

This paper presents methods for the design of non-uniform filter banks. The filter bank structure is obtained from a uniformly modulated filter bank by using an allpass transform which has a lossless frequency function and a nonlinear phase function. The proposed design method includes quadratic optimization with linear constraints. Considered applications are subband adaptive filtering and sub...

Proposed is a novel variable step size normalized subband adaptive filter (NVSS-NSAF) algorithm, which assigns an individual step size for each subband by minimizing the mean-square of the noise-free a posterior subband error. Furthermore, a noniterative shrinkage method is used to recover the noise-free a priori subband error from the noisy subband error signal. Simulation results using the co...

This paper presents methods for the design of nonuniform filter banks. The filter bank structure is obtained from an uniformly modulated filter bank by using an allpass transform which has a lossless frequency function and a nonlinear phase function. The proposed design methods include linear and quadratic frequency domain criteria and linear constraints. Considered applications are subband ada...

A closed-loop adaptive subband prediction architecture is presented by employing an adaptive subband filter in the prediction configuration. Some authors have suggested that applying open-loop prediction methods to subband signals can realize increased prediction gain over fullband prediction. Furthermore, the benefits of applying multirate techniques to adaptive filtering are well understood i...