An algorithm for jointly optimizing uniform analysis and synthesis FIR filter banks for a given input power spectral density is proposed. The FIR subband coder is optimized with respect to the minimum block mean square error between the output and the input signals under a bit constraint. The subband quantizers are modeled as additive, signal-independent, white noise sources. Illustrative examp...

In this paper, we study the space-time adaptive processing (STAP) and its subband realization for mobile communications. The conditions of perfect STAP processing (i.e., perfect equalization of desired user signal and perfect suppression of undesired user signals), are investigated in noise-free case, which provide a basic rule for practical design of STAP systems. Based on the polyphase repres...

A new event detection scheme for power quality analysis based on the statistical analysis of adaptive decomposition signals is proposed. Proposed scheme is implemented using MATLAB Simulink DSP Blockset. The combination of an adaptive prediction filter based subband decomposition structure with a rule based histogram analysis block produced successful detection and classification results on ou...

Recently a new real-valued oversampled filter ba.nk has be:cm proposed which reduces the “inband” alias. The filterba.nk consists of at least three rhannels whirh are subsa.mpled by different subsampling ratios. Tn this paper we investigate into the applicability of t.his filterbank for adaptive subband filtering a.nd compa.rc the setup with existing subband and fullba.nd techniques. input sign...

Subband adaptive filtering has attracted much attention lately. In this paper, we propose a new structure and a new formulation for adapting the filter coefficients. This structure is based on polyphase decomposition of the filter to be adapted and is independent of the type of filter banks used in the subband decomposition. The new formulation yields improved convergence rate when LMS algorith...

Subband adaptive filters have been proposed to speed up the convergence and to lower the computational complexity of time domain adaptive filters. However, subband processing causes signal degradations due to aliasing effects and amplitude distortions. This problem is unavoidable due to further filtering operations in subbands. In this paper, the problem of aliasing effect and amplitude distort...

Updating Optimal Coefficients and Selected Observations Affine Projection is an effective way to reduce the computational and power consumption of this algorithm in the application of adaptive filters. On the other hand, the calculation of this algorithm can be reduced by using subbands and applying the concept of filtering the Set-Membership in each subband. Considering these concepts, the fir...