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• To give a detailed overview of the theory of DSP.
• To give a detailed overview of the application of DSP to selected areas in electronic, computer and telecommunications engineering.
• Introduction:
Summary of EE301 Signal & Systems course, Real-time processing of signals,
Motivation examples: Speech compression, Image compression
• Discrete Transform Techniques:
FFT, Fast convolution using the FFT, Correlation, Fast correlation, DCT, Walsh transform, Hadamard transform, Spectral analysis, Short-Time Fourier Transform (Spectrogram)
• Finite Impulse Response Digital Filter Design and Implementation:
Review of FIR design issues, The optimal FIR design method, FIR realization, Transversal structure, Linear phase structure, Analysis of finite word-length effects, Coefficient quantization effects, Roundoff and Overflow errors, FIR implementation on a DSP microprocessor
• Infinite Impulse Response Digital Filter Design and Implementation:
Review of IIR design issues, Pole-zero placement method, Realization structures for IIR filters, Analysis of finite word-length effects, IIR implementation on a DSP microprocessor
• Multirate Digital Signal Processing: Sample rate conversion, Efficient techniques, Polyphase filter sample rate conversion
• Adaptive Digital Filters: The Wiener filter, The LMS adaptive algorithm, Adaptive speech compression
• Two- & Three-Dimensional DSP: DCT-based still image compression, Sub-band coding, Wavelet transform, 2-D filtering, Edge detection
• DSP Hardware: Fixed-point DSPs, Floating-point DSP, Interface hardware
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DIGITAL SIGNAL PROCESSING
