When exploiting independent component analysis (ICA) to perform blind source separation (BSS), it is assumed that sources are mutually independent. However, in practice, the latent sources are usually dependent to some extent. Subband decomposition ICA (SDICA) is an extension of ICA to admit source dependence. It assumes that each source is represented as the sum of some independent sub-compone...

Proportionate-type normalized suband adaptive filter (PNSAF-type) algorithms are very attractive choices for echo cancellation. To further obtain both fast convergence rate and low steady-state error, in this paper, a variable step size (VSS) version of the presented improved PNSAF (IPNSAF) algorithm is proposed by minimizing the square of the noise-free a posterior subband error signals. A non...

In this paper we present the design of multiband linear subband prediction (LSP) filters for wideband signals. A wideband signal is divided into narrowband subband signals via an array of lowpass/bandpass filters. A linear prediction filter is designed for each subband channel, which has its own designated frequency interval. The filter coefficients are fixed throughout the coding process. A cl...

To improve the robustness of subband adaptive filter (SAF) against impulsive interferences, we propose two modified SAF algorithms with an individual scale function for each subband, which are derived by maximizing correntropy-based cost function and minimizing logarithm-based cost function, respectively, called MCC-SAF and LC-SAF. Whenever the impulsive interference happens, the subband scale ...

Oversampled Subband Adaptive Filters (OS-SAFs) have shown good performance in echo and noise cancellation. In order to understand the ultimate limitations, two issues must be considered: convergence rate reduction, and asymptotic performance reduction resulting from aliasing and other effects. When the Normalized Least Mean Square algorithm is employed for OS-SAFs, the convergence rate is consi...

This paper aims to extend the proportionate adaptation concept design of a class diffusion normalized subband adaptive filter (DNSAF) algorithms. leads four extensions algorithm associated with different step-size variations, namely (DPNSAF), $$\mu $$ -law PNSAF (DMPNSAF), improved (DIPNSAF) and IPNSAF (DIIPNSAF). Subsequently, steady-state performance, stability conditions computational comple...

Adaptive filtering techniques in subbands have been recently developed for a number of applications including acoustic echo cancellation and wideband active noise control. In such applications, hundreds of taps are required resulting in high computational complexity and low convergence rate when using LMS based algorithms. For fullband systems, new algorithms which try to overcome these drawbac...

In this paper, we propose an image reconstruction method utilizing an optimized adaptive interpolation kernel along with a 2D M-channel perfect reconstruction filter bank(M-ch PR-FB) structure. In particular, the proposed approach leads to sharper reconstructed images than a direct conversion, still preserving high frequency components of the original image by employing the subband processing o...

A versatile filter-bank concept for adaptive subband filtering is proposed, which achieves a significantly lower algorithmic signal delay than commonly used analysissynthesis filter-banks. It is derived as an efficient implementation of the filter-bank summation method and performs time-domain filtering with coefficients adapted in the uniform or non-uniform frequency-domain. The frequency warp...

AbstmctA d a p t i v e Subband techniques h a v e been developed t o solve complex i ty a n d s low convergence problems of t h e tradit i o n a l fu l lband h igh-order adapt ive f i l t ers . H o w e v e r , t h e ef fect of al iasing associated w i t h t h e m u l t i r a t e s t r u c t u r e . w h i c h i s a source of e r r o r in t h e model ing of t h e u n k n o w n s y s t e m . and t...