J. Sheeba Rani

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Matrix inversion is an essential step in solving least squares problems and finds application in various communication systems and signal processing applications. A direct matrix inversion involves high computational complexity and hence it is performed using various decomposition techniques like Cholesky decomposition, QR decomposition (QRD), LDL(More)
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