Texas A&M University 4 credits ECEN
Signal processing and neural network implementations on field programmable gate arrays (FPGA); FPGA designs of digital filters, Fourier transform, JPEG decoding, fast convolution, Kalman filter and Viterbi decoding; circuit design techniques commonly used in signal processing and neural network, such as pipelining, parallel processing, folding, unfolding and systolic array. Prerequisites: Grade of C or better in ECEN 248 and ECEN 314; junior or senior classification.
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