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Adaptive Array Systems Using QR-Based RLS and CRLS Techniques with Systolic Array Architectures
(1991)
In this dissertation the basic techniques for designing more sophisticated adaptive array systems are first developed. Then several systolic architectures based on numerically stable and computationally efficient algorithms ...
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 ...
Interpolating Varieties for Spaces of Meromorphic Functions
(1992)
Various interesting results on interpolation theory of entire functions with given growth conditions have been obtained by imposing conditions on multiplicity varieties and weights. All the results discussed in the literature ...
Structure of Divisible Discrete Random Sets and Their Randomized Superpositions
(1991)
In this paper, we present an axiomatic formulation of Discrete Random Sets, and extend Choquet's uniqueness result to obtain a recursive procedure for the computation of the underlying event- space probability law, given ...
Optimal Unified Architectures for the Real-Time Computation of Time-Recursive Discrete Sinusoidal Transforms
(1993)
An optimal unified architecture that can efficiently compute the Discrete Cosine, Sine, Hartley, Fourier, Lapped Orthogonal, and Complex Lapped transforms for a continuous input data stream is proposed. This structure uses ...
Design and Implementation of Systolic Architectures for Vector Quantization
(1992)
Vector Quantization has emerged as an efficient data compression tool for compressing speech and image data. We develop efficient systolic architecture implementations of Tree-Search Vector Quantizers (TSVQ) and Finite-State ...
One-Step Memory Nonlinearities for Signal Detection and Discrimination from Correlated Observations
(1992)
New detectors employing test statistics which are formed by passing pairs of consecutive observations through one-step memory nonlinearities g(x, y) and summing the resulting terms are introduced. Problems of discrimination ...
Dynamic Attractors and Basin Class Capacity in Binary Neural Networks
(1995)
The wide repertoire of attractors and basins of attraction that appear in dynamic neural networks not only serve as models of brain activity patterns but create possibilities for new computational paradigms that use ...
Analysis and Synthesis of Distributed Systems
(1994)
We first model and analyze distributed systems including distributed sensors and actuators. We then consider identification of distributed systems via adaptive wavelet neural networks (AWNNs) by taking advantage of the ...
Fast Digital Locally Monotonic Regression
(1995)
In [1], Restrepo and Bovik developed an elegant mathematical framework in which they studied locally monotonic regressions in RN . The drawback is that the complexity of their algorithms is exponential in N. In this paper, ...