A method is proposed that uses a filter bank and an adaptive filter for the harmonic estimation in power signals. Here the amplitudes and frequencies of each harmonic is estimated. A fundamental filter bank (FB) decomposes the input power signal into sub signals and multistage FB is used for higher order harmonic decomposition. An adaptive filter is used to estimate the parameters more accurate...

This paper is concerned with the use of complexmodulated oversampled filter bank for frequency domain equalization in single carrier systems. A novel equalizer structure consisting of a low order linear phase FIR and an all-pass filter is applied in subband-wise compensation of channel amplitude and phase distortions separately. The performance of the proposed filter bank based frequency domain...

In this study, we propose an implementation of the cross-pattern coherence (CroPaC) spatialfiltering technique. This parametric algorithm utilizes the normalized cross-spectral density between signals from microphones of different orders as a criterion for focusing in specific directions and is implemented by using directional microphones placed in the same look direction and have the same magn...

A method for reconstructing a bandlimited signal from its periodic bunched samples is presented. As in prior approaches, a multirate filter bank structure is used to reconstruct the signal; however, the technique used to design the reconstruction filter bank is different. The solution presented here employs an interpolation filter to model the signal at the input of the reconstruction filter ba...

Data mining is the process of extracting implicit, valuable, and interesting information from large sets of data. Visualization is the process of visually exploring data for pattern and trend analysis, and it is a common method of browsing spatial datasets to look for patterns. However, the growing volume of spatial datasets make it difficult for humans to browse such datasets in their entirety...

The purpose of this paper is to develop a new approach—time–frequency deconvolution filter—to optimally reconstruct the nonstationary (or time-varying) signals that are transmitted through a multipath fading and noisy channel. A deconvolution filter based on ambiguity function (AF) filter bank is proposed to solve this problem via a three-stage filter bank. First, the signal is transformed via ...

The plane wave decomposition is an efficient analysis tool for multidimensional fields, particularly well fitted to the description of sound fields, whether these ones are continuous or discrete, obtained by a microphone array. In this article, a beamforming algorithm is presented in order to estimate the plane wave decomposition of the initial sound field. Our algorithm aims at deriving a spat...

In this paper, the theory and design of a class of PR cosinemodulated nonuniform filter bank is proposed. It is based on a structure previously proposed by Cox, where the outputs of a uniform filter bank is combined or merged by means of the synthesis section of another filter bank with smaller channel number. Simplifications are imposed on this structure so that the design procedure can be con...

The design of two-channel filter banks with rational sampling factors is considered based on the use of linearphase finite-impulse response (FIR) filters whose stopband performances are minimized in the least squares sense. It is shown that a proper selection of the filter orders enables one to synthesize a perfect reconstruction filter bank. The optimization of the overall filter bank is carri...

The ability to support multiple channels of different communication standards, in the available bandwidth, is of importance in modern software defined radio (SDR) receivers. An SDR receiver typically employs a channelizer to extract multiple narrowband channels from the received wideband signal using digital filter banks. Since the filter bank channelizer is placed immediately after the analog-...