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Description:
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The intense requirements for high processing rates of multidimensional Digital Signal Processing systems in practical applications justify the Application Specific Integrated Circuits designs and parallel processing implementations . In this dissertation , we propose novel theories , methodologies and architectures in designing high -performance VLSI implementations for general multidimensional multirate Digital Signal Processing systems by exploiting the parallelism within those applications . To systematically exploit the parallelism within the multidimensional multirate DSP algorithms , we develop novel transformations including (1 ) nonlinear I /O data space transforms , (2 ) intercalation transforms , and (3 ) multidimensional multirate unfolding transforms . These transformations are applied to the algorithms leading to systematic methodologies in high -performance architectural designs . With the novel design methodologies , we develop several architectures with parallel and distributed processing features for implementing multidimensional multirate applications . Experimental results have shown that those architectures are much more efficient in terms of execution time and /or hardware cost compared with existing hardware implementations . |