QR decomposition is another powerful technique to solve linear equations. In QR decomposition, the co-efficient matrix need not to be a symmetric matrix. In special cases where the input signal is compressible or sparse, QR decomposition can directly operate on matrix if less than . This way an underdetermined linear system is solved. Matrix is […]
Solving Linear Equations using QR Decomposition Read More »
QR decomposition is one of the powerful matrix factorization techniques that is used to solve a linear equation, to find matrix inverse or to find pseudo-inverse. In this factorization technique, a matrix (A) is factorized into two matrices Q and R such that A = QR. Here, Q is an ortho-normal matrix and R is
FPGA Implementation QR Decomposition Based on CORDIC Read More »
COordinate Rotation Digital Computer (CORDIC) is a simple and efficient algorithm to compute arithmetic, trigonometric and hyperbolic functions. In many fields such as DSP, image processing, communication or in industrial sectors, researchers are using CORDIC algorithm to optimize design performance. CORDIC was conceived in 1956 by Jack E. Volder thus it sometimes called as Volder’s
