A procedure for multidimensional nonlinear modeling and interpolation is described which employs the method of radial basis function analysis. A systolic array for efficiently performing the associated computation for...
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ISBN:
(纸本)0819404098
A procedure for multidimensional nonlinear modeling and interpolation is described which employs the method of radial basis function analysis. A systolic array for efficiently performing the associated computation for both the modeling and interpolation modes recursively in time is also described. Conditions are given for the further improvement of efficiency in the algorithm when the input data constitute a time series, and an associated processing structure is outlined.
A deconvolution technique to estimate the Evolutionary Spectrum (ES) of nonstationary signals by deconvolving the blurring effects of the kernel function fi om bilinear time frequency distributions (TFD) is presented....
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ISBN:
(纸本)0819429163
A deconvolution technique to estimate the Evolutionary Spectrum (ES) of nonstationary signals by deconvolving the blurring effects of the kernel function fi om bilinear time frequency distributions (TFD) is presented. The resulting ES has desirable properties such as positivity, higher resolution, higher concentration in time-frequency. The proposed algorithm is computationally more efficient compared to the recently proposed entropy based deconvolution method. Unlike the entropy method the new algorithm can be adapted to deconvolve TFDs other than the spectrogram.
This paper demonstrates that order-recursive least squares (ORLS) algorithms based on orthogonal transformations and hyperbolic transformations can be systematically constructed in two steps. The first step is to dete...
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ISBN:
(纸本)0819412767
This paper demonstrates that order-recursive least squares (ORLS) algorithms based on orthogonal transformations and hyperbolic transformations can be systematically constructed in two steps. The first step is to determine the structure of the ORLS algorithm according to the property of the data vector in the LS estimation and the requirements to the output. The second step is to determine the proper implementation of building blocks of the ORLS structure using orthogonal or hyperbolic transformations. The canonical ORLS structure and some possible orthogonal/hyperbolic implementations of their building blocks are presented. It is also shown that some of the orthogonal transformations are only applicable to certain types of ORLS structures and not to others.
signals with time-varying spectral content arise in a number of situations, such as in shallow water sound propagation, biomedical signals, machine and structural vibrations, and seismic signals, among others. The Wig...
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ISBN:
(纸本)0819463922
signals with time-varying spectral content arise in a number of situations, such as in shallow water sound propagation, biomedical signals, machine and structural vibrations, and seismic signals, among others. The Wigner distribution and its generalization have become standard methods for analyzing such time-varying signals. We derive approximations of the Wigner distribution that can be applied to gain insights into the effects of filtering, amplitude modulation, frequency modulation, and dispersive propagation on the time-varying spectral content of signals.
In this report, we propose combining the Total Variation denoising method with the high loss wavelet compression for high noise level images. Numerical experiments show that TV-denoising can bring more wavelet coeffic...
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ISBN:
(纸本)0819429163
In this report, we propose combining the Total Variation denoising method with the high loss wavelet compression for high noise level images. Numerical experiments show that TV-denoising can bring more wavelet coefficients closer to zero thereby making the compression more efficient while the salient features (edges) of the images can still be retained.
It is shown how some simple multilinear transformations may be used to generate an alternative, and potentially faster, version of the BLISS algorithm for blind signal separation. The BLISS algorithm performs an indep...
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ISBN:
(纸本)0819432938
It is shown how some simple multilinear transformations may be used to generate an alternative, and potentially faster, version of the BLISS algorithm for blind signal separation. The BLISS algorithm performs an independent component analysis of the type proposed by Comon but uses a different method for estimating the pairwise rotation angles. It has been applied to a wide range of communication signals and proved extremely successful in practice. The reformulated version of BLISS requires less arithmetic operations provided the number of signals to be separated is fairly small (similar to 3 to 5) as found in a range of important communication scenarios.
The fast recursive least squares (RLS) algorithms have wide applications in signalprocessing and control. They are computationally efficient. Thus their stability is of major concern. In this paper, we investigate th...
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ISBN:
(纸本)0819412767
The fast recursive least squares (RLS) algorithms have wide applications in signalprocessing and control. They are computationally efficient. Thus their stability is of major concern. In this paper, we investigate the error propagation and stability of some typical fast RLS algorithms. Through a random example, we show that a typical conventional fast RLS algorithm is weakly unstable in computing both the residuals and the gain vectors and a QR based algorithm is expected to be weakly stable in computing the residuals but weakly unstable in computing the gain vectors. We propose an error correction scheme for computing the gain vectors.
We propose two-dimensional signal gating for high-performance multipliers including tree multipliers and array multipliers with an upper/lower left-to-right leapfrog (ULLRLF) structure. In ULLRLF array multipliers, th...
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ISBN:
(纸本)0819450782
We propose two-dimensional signal gating for high-performance multipliers including tree multipliers and array multipliers with an upper/lower left-to-right leapfrog (ULLRLF) structure. In ULLRLF array multipliers, the G-Y gating line follows the boundary of existing upper/lower partitioning. The G-x gating line goes through the upper and lower LRLF arrays. In tree multipliers, the G-Y gating line follows the existing partitioning of tree branches. The G-x line goes through all carry-save adders for partial product reduction. Because of the irregularity of the tree reduction structure, signal gating in tree multipliers is more complex than that in array multipliers. Experimental results indicate that two-dimensional gating is quite efficient in high-performance multipliers, with 65% power reduction under test data with large dynamic range.
Some image processing applications require an image meet a quality metric before processing it. If an image is so degraded that it is difficult or impossible to reconstruct, the input image may be discarded. In this p...
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ISBN:
(纸本)9780819472946
Some image processing applications require an image meet a quality metric before processing it. If an image is so degraded that it is difficult or impossible to reconstruct, the input image may be discarded. In this paper, we present a metric that measures the relative sharpness with respect to a reference image frame. The reference frame may be a previous input image or an output frame from the system. The sharpness metric is based on analyzing edges. The assumption of this problem is that input images are similar to each other in terms of observation angle and time.
In time-frequency analysis, we extend functions of one variable to functions of two variables. The functions of two variables provide information about the signal that is not easily discernible from the functions of o...
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ISBN:
(纸本)0819425842
In time-frequency analysis, we extend functions of one variable to functions of two variables. The functions of two variables provide information about the signal that is not easily discernible from the functions of one variable. In this paper, we investigate a method for creating quartic functions of three variables and also a quartic function of all four variables. These quartic functions provide a meaningful representation of the signal that goes beyond the well known quadratic functions. The quartic functions are applied to the design of signal-adaptive kernels for Cohen's class and shown to provide improvements over previous methods.
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