Syllabus
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Course Code: MMVD 303 Course Name: Program Elective-II - Digital Signal Processing in VLSI |
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| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
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| 1 | Introduction, Review of signals and signals processing, Enhancement of S/N, system models and the transfer function, spectra, limitations of Analog systems. Digital Signal Processing: Flexibility, key advantage to DSP, DSP issues and terminology, Sampled Data, Throughput expansion, data compression and pipelining. Non-recursive filters: Finite impulse response filters; Digital filters Recursive filters: Analog feedback filters and their recursive digital counterparts, Digital filter in block diagram form. | |
| 2 | Digital Filter Overview: Digital filters, when, why, what, how? Comparison of digital filter types; summary of key digital filter relationships. FIR filters: FIR filter concepts and properties, Fourier-series approach to FIR filters; The window method of FIR filter design. FIR Filters: The second-order section as a prototype; Biquads for special purposes; Hardware implementation of FIR filters. The bridge to VLSI: Introduction, Some VLSI-DSP design Philosophy DSP, Architecture Issues: Tradeoffs, Pipelining, and parallelism. | |
| 3 | Finite-word length arithmetic-Introduction, Arithmetic error sensitivity, Overflow, underflow, and rounding; filter quantization-error tradeoffs in fixed-point arithmetic, Accuracy in FFT spectral Analysis. Analog I/O methods Real DSP Hardware: Introduction, key, DSP hardware elements, System Selection: DSP system alternatives; Microcoded systems; Single-chip DSP microprocessor survey. | |
| 4 | DSP applications: Introduction, Major elements of a DSP system, the digital Transceiver; Digital detection, Digital heterodyning, decimation and interpolation. Real-time detection: Examples based on correlation principles, coherent detection Modeling in Real time: Telecommunications and speech. Why modeling; Telecommunications; coding of speech. Image Processing: Introduction to image processing; Machine vision acquisition, enhancement, and recognition. | |
