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Research Findings Incorporated in to the Syllabus (If Relevant): |
Prime Texts: |
Wisker, Gina (2009) The undergraduate research handbook, Palgrave MacMillan |
Thomas, Gary (2017) How to do your research project : a guide for students, Sage |
Other Texts: |
Breach, Mark. () Dissertation Writing for Engineers and Scientists, Prentice Hall |
Robson, Colin () How to do a Research Project. A Guide for Undergraduate Students, Blackwell Publishing |
Programmes |
Semester(s) Module is Offered: |
Autumn |
Spring |
Summer |
Module Leader: |
Martin.J.Hayes@ul.ie |
________________ |
Module Code - Title: |
CE4008 - VLSI DIGITAL PROCESSING SYSTEMS |
Year Last Offered: |
2018/9 |
Hours Per Week |
Lecture |
Lab |
Tutorial |
Other |
Private |
Credits |
2 |
2 |
1 |
0 |
8 |
6 |
Grading Type: |
N |
Prerequisite Modules: |
EE4817 |
Rationale and Purpose of the Module: |
Introduce and use advanced algorithms and architectures for the efficient digital implementation of signal processing algorithms. |
Syllabus: |
Pipelining and parallel processing. Signal flow graphs, Fine grain pipelining. Block processing. Low power architectures. Fault-tolerant DSP. |
Cyclic and acyclic convolution. Digital filter structures. CSD techniques, Distributed arithmetic, Fast convolution algorithms. Parallel FIR filters. Multidimensional convolution. Sampling-rate converters. |
Cooley-Tukey FFT, Goertzel algorithm. Bounds on multiplicative complexity. Multidimensional transforms. |
Modular arithmetic. Galois field Architectures for multiplication, division and exponentiation. |
Trellis and tree searching with the Viterbi algorithm, VLSI structures for the Viterbi decoder. Berlekemp Massey Algorithm for Toeplitz Systems. |
Learning Outcomes: |
Cognitive (Knowledge, Understanding, Application, Analysis, Evaluation, Synthesis) |
On successful completion of this module, students should be able to: |
- Implement efficient solutions for modular arithmetic operations |
- Employ appropriate techniques for implementing filtering operations in hardware and software |
- Quantify the effects of arithmetic errors for fixed point DSP implementations |
- Apply architectural techniques for power reduction |
- Describe methods for reducing the complexity of polynomial multiplication |
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