A Reconfigurable Processing Element Implementation for Matrix Inversion Using Cholesky Decomposition
نویسندگان
چکیده
Fixed-point simulation results are used for the performance measure of inverting matrices using a reconfigurable processing element. Matrices are inverted using the Cholesky decomposition algorithm. The reconfigurable processing element is capable of all required mathematical operations. The fixed-point word length analysis is based on simulations of different condition numbers and different matrix sizes. Keywords—Cholesky Decomposition, Fixed-point, Matrix inversion, Reconfigurable processing.
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تاریخ انتشار 2006