A high-performance multi-purpose DSP architecture for signal processing research

This paper presents a powerful and flexible Digital Signal Processing (DSP) architecture based on the Texas Instruments TMS320VC33 DSP and high speed PCI bus. The DSP board provides a convenient, flexible means to test signal processing algorithms in real-time hardware. Algorithms implemented for several research projects include Normalized Least Mean Square (NLMS) Adaptive Filter, Recurrent Neural Network (RNN), Viterbi Decoding, and Adaptive Beamforming. The low-cost, reconfigurable system is presently being used in various research projects such as multiple channel sampling and filtering MEMSbased Acoustic Arrays, Wireless LAN hardware implementation, and neural net classification of primate EEG waveforms. The paper provides a detailed description of the DSP board, the theory behind its selection of components, and how it is being used in the earlier mentioned research projects.