This paper presents analytical and Monte Carlo results for a stochastic gradient adaptive scheme which identifies an orthogonal polynomial-type nonlinear system with memory. The analysis includes recursions for the me...
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This paper presents analytical and Monte Carlo results for a stochastic gradient adaptive scheme which identifies an orthogonal polynomial-type nonlinear system with memory. The analysis includes recursions for the mean and fluctuation behavior of the adaptive parameters as well computation of the mean-square error increase due to the adaptation process.
An interactive color image segmentation technique is presented for use in applications where the segmented regions correspond to meaningful objects, such as for image retrieval. The proposed technique utilizes the per...
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The transfer function of these filters is a parallel connection of several branches with transfer functions of the form G/sub l/(z/sup L/)F/sub l/(z), where the length of each F/sub l/(z) is L. It is shown that by pro...
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The transfer function of these filters is a parallel connection of several branches with transfer functions of the form G/sub l/(z/sup L/)F/sub l/(z), where the length of each F/sub l/(z) is L. It is shown that by properly selecting the F/sub l/(z)'s the overall impulse response can be divided into several blocks of L samples in such a manner that in each block the impulse response is a polynomial of a given degree. The degree is one less than the number of branches, whereas the overall length of the impulse response is N=ML, where M is the length of the G/sub l/(z)'s. Efficient implementation forms are proposed for the overall filter. Examples are included illustrating the efficiency of the proposed approach in implementing narrow-band linear-phase FIR filters.
A new technique by which the electron micrographs of (111)7×7 Silicon are analyzed is discussed. In contrast to the conventional manner by which pseudocolor is introduced into normally gray scale surface scans, t...
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We present a novel method for designing polynomial FIR predictors for fixed-point environments. Our method yields filters that perform exact prediction of polynomial signals even with short coefficient word lengths. U...
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We present a novel method for designing polynomial FIR predictors for fixed-point environments. Our method yields filters that perform exact prediction of polynomial signals even with short coefficient word lengths. Under ordinary coefficient truncation or rounding, the prediction capability degrades, or may be totally lost. With the proposed method, the filters are designed so that the predictive properties are exactly preserved in fixed-point implementations. The proposed filter design method is based on integer programming (IP) and can be directly applied to any fixed-point FIR design specifications which can be formulated in a form of linear constraints on the filter coefficients.
We propose an adaptive random access algorithm for mobile environments with capture. The algorithm has a dynamic window size which is updated according to the traffic intensity. The packet arrival rate is tracked by e...
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We propose an adaptive random access algorithm for mobile environments with capture. The algorithm has a dynamic window size which is updated according to the traffic intensity. The packet arrival rate is tracked by employing sequential detection procedures. Simulations indicate that changing the window size adaptively reduces the average delay under heavy load conditions.
Orthogonal subspace projection (OSP) has been successfully applied to hyperspectral imageprocessing. In order for OSP to be effective, the number of bands must be no less than that of signatures to be classified so t...
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Ultrasonic range sensors are used to obtain the information required for collision-free navigation of a mobile robot in a semi-structured or unstructured environment. A set of range readings from a ring of sonars are ...
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A new lossless image compression method for progressive-resolution transmission of color images is proposed. It is based on spatial and spectral transforms. Reversible wavelet transforms are performed across the red, ...
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ISBN:
(纸本)0818688211
A new lossless image compression method for progressive-resolution transmission of color images is proposed. It is based on spatial and spectral transforms. Reversible wavelet transforms are performed across the red, green, and blue color components first. Then adaptive spectral transforms are applied to the associated color subbands. Simulation results indicate that the proposed algorithm can achieve bit rates that are about 20% lower than results obtained with comparable lossless image compression techniques supporting progressive-resolution transmission.
Subjective testing of speaker recognizability is an intricate, time consuming and very expensive process, but using objectively measurable descriptors to augment the subjective speaker recognizability tests could resu...
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