This thesis report aims at introducing the background of QR decomposition and its application. QR decomposition using Givens rotations is a efficient method to prevent directly matrix inverse in solving least square minimization problem, which is a typical approach for weight calculation in adaptive beamforming. Furthermore, this thesis introduces Givens rotations algorithm and two general VLSI (very large scale integrated circuit) architectures namely triangular systolic array and linear systolic array for numerically QR decomposition.
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- Partial requirement for: M.S., Arizona State University, 2014Note typethesis
- Includes bibliographical references (p. 84-86)Note typebibliography
- Field of study: Electrical engineering