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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
The most popular device used for a solution of plenty of DSP problems is CORDIC processor for orthogonal transformation of a plane rotation by Volder’s algorithm. This algorithm have been employed in a number of special purpose processor arrays due to efficient realization of various types of linear transformations using simple hardware components. The dimensionality of CORDIC-algorithms is equal to two. This is the major disadvantage. A long sequence of these macro-operations is required for practical problem solving. Taking into account that very fast growth of modern VLSI technology offers a hardware realization of an ever-growing share of mathematical means it seems reasonable to speed up matrix computations by expressing them in terms of higher dimensional transformations. The present book is a short survey of research results which were published by author in this area for resent years.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
The most popular device used for a solution of plenty of DSP problems is CORDIC processor for orthogonal transformation of a plane rotation by Volder’s algorithm. This algorithm have been employed in a number of special purpose processor arrays due to efficient realization of various types of linear transformations using simple hardware components. The dimensionality of CORDIC-algorithms is equal to two. This is the major disadvantage. A long sequence of these macro-operations is required for practical problem solving. Taking into account that very fast growth of modern VLSI technology offers a hardware realization of an ever-growing share of mathematical means it seems reasonable to speed up matrix computations by expressing them in terms of higher dimensional transformations. The present book is a short survey of research results which were published by author in this area for resent years.