This paper describes a new method for the automated segmentation and extraction of cardiac MRI tagging lines. Our method is based on the novel use of a 2D Gabor filter bank. By convolving the tagged input image with our Gabor filters, the tagging lines are automatically enhanced and segmented out. We design the Gabor filter bank based on the input image’s spatial and frequency characteristics. ...

This paper presents enhancement of image reconstruction by comprehensively exploiting the phase diversity of adaptive synthesis filter bank. A novel approach of selection of synthesis delay filters in various reconstruction groups and possible placing configurations of optimal groups in adaptive synthesis filter bank have been explored. In contrast with linear phase synthesis filters, synthesis...

We consider the use of pre and postfilters in conjunction with M-channel, uniform-hand paraunitary (orthonormal) filter banks. We show that given any orthonormal filter bank, the pre and postfilters that maximize the coding gain are determined entirely by the power spectrum of the input process regardless of the details of the orthainormal filter bank (which could be FIR, IIR, or even the ideal...

6 Quadrature Mirror Filter QMF Bank. 1 Errors Created in the QMF Bank. 2 A Simple Alias-Free QMF.Thus, the name quadrature mirror filter is a misnomer, when M 2. However, this has become more or less standard, and there is no reason to change the.In digital signal processing, a quadrature mirror filter is a filter whose magnitude response is the mirror image around pi2 of that of another filter...

Using state-space representation, mobile object positioning problems can be described as dynamic systems, with the state representing the unknown location and the observations being the information gathered from the location sensors. For linear dynamic systems with Gaussian noise, the Kalman filter provides the Minimum Mean-Square Error (MMSE) state estimation by tracking the posterior. Hence, ...

Three traditional ASR parameterizations matched with Hidden Markov Models (HMMs) are compared to humans for speaker-dependent consonant recognition using nonsense syllables degraded by highpass filtering, lowpass filtering, or additive noise. Confusion matrices were determined by recognizing the syllables using different ASR front ends, including Mel-Filter Bank (MFB) energies, Mel-Filtered Cep...

The Kalman filter plays an important role in the field of aero-engine control system fault diagnosis. However, design bank is complex, structure fixed, and parameter estimation accuracy non-Gaussian environment low. In this study, a new filtering method, immune fusion filter, was proposed based on artificial (AIS) theory algorithm. method used to establish diagnosis, isolation, accommodation (F...

In automatic speech recognition (ASR) systems immunity to additive noise may either be applied at the preprocessing stage or at the pattern matching stage. The Feature Selective Modeling (FSM) approach suggested in this paper is applied in the pattern matching stage, but in contrast to most existing methods, it is optimized on a model basis such that noise robust and phonetically descriptive pa...

In this paper, we propose a new descriptor for texture classification that is robust to image blurring. The descriptor utilizes phase information computed locally in a window for every image position. The phases of the four low-frequency coefficients are decorrelated and uniformly quantized in an eight-dimensional space. A histogram of the resulting code words is created and used as a feature i...