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Feasibility Study of TMS (DSP-Core Base)and Xilinx FPGA for Speech Algorithm

Sabouri, Peyman | 2010

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  1. Type of Document: M.Sc. Thesis
  2. Language: English
  3. Document No: 40797 (55)
  4. University: Sharif University of Technology, International Campus, Kish Island
  5. Department: Science and Engineering
  6. Advisor(s): Mortazavi, Mohammad; Ghorshi, Mohammad Ali
  7. Abstract:
  8. Digital Signal Processing (DSP) is used in a wide range of applications such as high-definition TV, digital audio, multimedia, digital cameras, radar, sonar detectors, biomedical imaging, global positioning, digital radio, speech recognition and etc. These applications can be implemented by either DSP processors or FPGA technology. Digital Signal Processors are microprocessors specifically designed to handle Digital Signal Processing tasks. These devices have seen a tremendous growth in the last decade, finding use in everything from cellular telephones to advanced scientific instruments. On the other hand, the rise of FPGA in the signal processing realm could be assigned to hardware to take advantage of optimum speed, power consumption, and per unit costs. Many algorithms can be implemented onto FPGAs using pre-verified soft DSP cores that can be implemented anywhere on the FPGA fabric. In this work, we intend to investigate comparative studies of hardware implementation of speech processing algorithms by the above techniques. In order to achieve the best possible solution, we are to investigate and compare TMS320C6416 (DSP processor) and Xilinx SPARTAN3 FPGAs that are used in spectral subtraction in speech enhancement processing. In this thesis, the Model based approach has been proposed to take advantage of seamless integration of the design flows from MATLAB to the target device. Finally, we outline the features of both technologies in terms of cost/size, performance, power consumption, architectural design and etc. The experimental results have been simulated with Code-Composer Studio (CCS) for TMS processor and Xilinx Integrated Software Environment (ISE).

  9. Keywords:
  10. Code Composer Studio (CCS)Software ; Speech Processing ; Field Programmable Gate Array (FPGA) ; TMS320C6416 Processor ; Digital Signal Processing ; Xilinx ISE Software

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