This study uses the QR decomposition method to decompose the covariance matrix of the RLS algorithm to improve the overall beamforming of the antenna array. The system has also been simulated using MATLAB and implemented on FPGA. Test benches have also been generated to evaluate the performance of FPGA implemented Adaptive Beamformer and to compare with its MATLAB implemented version. FPGA resources have also been estimated for a XiLinx FPGA device and resource summary has been presented and compared with earlier work.
This book introduces audio watermarking methods in transform domain based on matrix decomposition for copyright protection. Chapter 1 discusses the application and properties of digital watermarking. Chapter 2 proposes a blind lifting wavelet transform (LWT) based watermarking method using fast Walsh Hadamard transform (FWHT) and singular value decomposition (SVD) for audio copyright protection. Chapter 3 presents a blind audio watermarking method based on LWT and QR decomposition (QRD) for audio copyright protection. Chapter 4 introduces an audio watermarking algorithm based on FWHT and LU decomposition (LUD). Chapter 5 proposes an audio watermarking method based on LWT and Schur decomposition (SD). Chapter 6 explains in details on the challenges and future trends of audio watermarking in various application areas.Introduces audio watermarking methods for copyright protection and ownership protection,Describes watermarking methods with encryption and decryption that provide excellent performance in terms of imperceptibility, robustness, and data payload,Discusses in details on the challenges and future research direction of audio watermarking in various application areas.