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Digital Signal Processing

Digital Signal Processing (DSP) is an active and important area with many identified applications, such as digital audio, soft defined radio, digital video, etc.  The unique feature of CSULB DSP research is that it is incorporated in the teaching curriculum of the electrical engineering program.

Current reseasrch includes:

  • IEEE 802.11 (Wi-Fi)/802.16 (WiMax)
  • Peak to Average Power Reduction in Multicarrier Signals
  • Signal Detection and Timing Offset Estimation (IEEE 802.11 & 802.16)
  • Frequency Offset Estimation Techniques in Orthogonal Frequency
  • Division Multiplexing (OFDM) Systems
  • M-ary QAM/OFDM Transceiver in Mobile Fading Channels (M=16, 64, 256)
  • Low Complexity M-ary QAM Receiver - Hard and Soft Decision
  • Bit Exact FIR/IIR Filter Implementation
  • M-ary QAM/OFDM Transceiver Baseband Implementation Using TMS320C5409
  • Space-Time Coding for MIMO-OFDM Wireless Communication Systems
  • Adaptive Predictor Using Cascaded Forward-Backward Structure
  • Universal Communication Device for Improving Interoperability
  • Code Division Multiple Access (CDMA) Transmission Technology
  • BPSK-OFDM FPGA Implementation

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