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Tracking of cloud characteristics helps in detecting cyclones which accounts for disastrous winds and heavy landfall on low lying coastal areas. Dense Motion Estimation is one of the most computationally intensive part of any tracking system. In this work we propose an efficient and high throughput hardware implementation of the Dense Horn-Schunck(DHSOF) algorithm to accelerate the cloud motion analysis...
Biometric systems are becoming more and more popular with the increase in need for strong security systems. Ear is one of the biometric trait whose structure cannot change in the course of human life. In this paper ear recognition based on two dimensional Probabilistic Principal Component analysis (PPCA) using sparse representation algorithm classifier is proposed. The main objectives of the work...
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 decomposition. In this paper, fixed point architecture...
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