ECEN 722

Field Programmable Gate Arrays Information Processing Systems

Texas A&M University · UGRD · Fall 2026

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Credits 4. 3 Lecture Hours. 2 Lab Hours. 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: Graduate classification.

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Class #texas_am-3595Fall 2026UGRD
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