The most important aspect when designing Split-spectrum algorithms is the filter bank design. There are two main trends commonly followed. One is based on constant bandwidth Gaussian filters equally spaced in frequency and the other one uses wavelets as a multiresolution time-scale method. In this paper we present an alternative that combines both techniques taking advantage from the best of ea...

This paper focuses on a robust feature extraction algorithm for automatic classification of pathological and normal voices in noisy environments. The proposed algorithm is based on human auditory processing and the nonlinear Teager-Kaiser energy operator. The robust features which labeled Teager Energy Cepstrum Coefficients (TECCs) are computed in three steps. Firstly, each speech signal frame ...

This paper presents a fast and efficient RaoBlackwellized Particle Filter (RBPF) for real noisy image restoration. The proposed method first estimates the noise level from the noisy image. Then RBPF with Maximum Likelihood Estimation method is used for noise removal. The Maximum likelihood Estimation method is used for noise distribution process. Rao-Blackwellized particle filtering is a combin...

In this paper we develop and analyze real-time and accurate filters for nonlinear filtering problems based on the Gaussian distributions. We present the systematic formulation of Gaussian filters and develop efficient and accurate numerical integration of the optimal filter. We also discuss the mixed Gaussian filters in which the conditional probability density is approximated by the sum of Gau...

PARAUNITARY COSINE MODULATED PERFECT RECONSTRUCTION FILTER BANKST Yuan-Pel Lm and P. P Vaidyanathan Dept of Electrical Engineering, 116-81 California Institute of Technology Pasadena. CA 91125 In this paper, we construct two-dimensional (2D) FIR paraunitary Cosine Modulated Filter Banks (CMFB). All the analysis and synthesis filters are cosinemodulated versions of a 2D non-separable prototype; ...

A low delay filter bank for audio coding is presented. The low delay allows to reduce the length of pre-echoes generated by quantization errors. The structure provides perfect reconstruction and a system delay which can be pre-specified independent of the filter length. A robust algorithm for the design of such filter banks is developed. In an explained example for audio coding the length of th...

This brief presents a reconfigurable fast filter bank (RFFB) with less gate counts for wireless communication applications such as spectrum sensing and channelization. RFFB offers fine control over subband bandwidth without any reimplementation. This is accomplished with an improved modified frequency transformation-based variable digital filter (MFTVDF) at the first stage of the multistage imp...

A supervised texture segmentation scheme is proposed in this article. The texture features are extracted by filtering the given image using a filter bank consisting of a number of Gabor filters with different frequencies, resolutions, and orientations. The segmentation model consists of feature formation, partition, and competition processes. In the feature formation process, the texture featur...

Face images from the Feret database [3] were convolved with a Gaussian filter and inputed to the CSU Face Identification Evaluation System (FES) [1]. Both the gallery and probe images were convolved with the Gaussian filter before being inputed to the FES. The probe images were convolved with the Gaussian filter to simulate optical defocus. The gallery images were convolved with the Gaussian fi...

Discrete multitone modulation is an attractive method for communication over a non flat channel with possibly colored noise. The uniform DFT filter bank and cosine modulated filter bank have in the past been used in this system because of low complexity. We show in this paper that principal component filter banks, which are known to be optimal for data compression and denoising applications, ar...