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A Wavefront Array for URV Decomposition Updating
(1995)
The rank revealing URV decomposition is an effective tool in many signal processing applications that require the computation of the noise subspace of a matrix. In this paper, we consider a parallel architecture for updating ...
Fractal Modeling and Segmentation for the Enhancement of Microcalcifications in Digital Mammograms
(1996)
The objective of this research is to model the mammographic parenchymal, ductal patterns and enhance the microcalcifications using deterministic fractal approach. According to the theory of deterministic fractal geometry, ...
Blind MIMO FIR Channel Identification Based on Second-Order Statistics with Multiple Signals Recovery
(1996)
To separate and recover multiple signals in data communications, antenna arrays and acoustic sensor arrays, the impulse responses of multiple-input/multiple-output (MIMO) channels have to be identified explicitly or ...
System Architecture of a Massively Parallel Programmable Video Co-Processor
(1995)
Modern video applications call for computationally intensive data processing at very high data rate. In order to meet the high- performance/low-cost constraints, the state-of-art video processor should be a programmable ...
A Super-Resolution Parameter Estimation Algorithm for Multi- Dimensional NMR Spectroscopy
(1995)
In this paper, we will propose a super-resolution scheme for the parameter estimation of multi-dimensional (M-D) NMR spectroscopy. M-D NMR signals can be modeled as the summation of M-D damped sinusoids. The frequencies ...
On the Convergence of Blind Channel Equalization
(1995)
Baud-rate blind equalization algorithms may converge to undesirable stable equilibria due to different reasons. One is the use of FIR filter as an equalizer. It is proved in this paper that this kind of local minima exist ...
Improved Parameter Estimation Schemes for Damped Sinusoidal Signals Based on Low-Rank Hankel Approximation
(1995)
The parameter estimation of damped sinusoidal signals is an important issue in spectral analysis and many applications. The existing algorithms, such as the KT algorithms [8] and the TLS algorithms [13], are based on the ...
A Structured Low Rank Matrix Pencil for Spectral Estimation and System Identification
(1996)
In this paper we propose a new parameter estimation algorithm for damped sinusoidal signals. Parameter estimation for damped sinusoidal signals with additive white noise is a problem of significant interests in many signal ...
DCT-Based Motion Estimation
(1995)
A new motion estimation approach, the DCT-Based Motion Estimation Scheme (DXT-ME) utilizing the sinusoidal orthogonal principles to estimate displacements of moving objects in the transform domain, based upon the concept ...
Exact Subpixel Motion Estimation in DCT Domain
(1996)
Currently existing subpixel motion estimation algorithms require interpolation of inter-pixel values which undesirably increases the overall complexity and data flow and deteriorates estimation accuracy. In this paper, we ...