System-level approaches for fixed-point refinement of signal processing algorithms

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• Karthick Parashar (Imperial College)
• Wednesday 10 October 2012, 11:00-12:00
• Level 9 Mahanakorn Lab., EE Dept..

If you have a question about this talk, please contact Grigorios Mingas.

In this talk, I would like to speak about my thesis work and it consists of two parts. In the first part, I have particularly focussed on developing analytical techniques to stochastically model quantization noise and using this model for fast evaluation of average case performance of fixed-point systems. In the second part the scalability issue of the so called multiple-word-length (MWL) optimization problem is considered. A divide-and-conquer approach to solve large word-length optimization problems is proposed. A novel polynomial time, near-optimal word-length optimization algorithm is also propsed. The new algorithm is not only scalable but also generates better quality results when compared to classical word-length optimization algorithms that use greedy heuristics.

This talk is part of the CAS Talks series.

This talk is included in these lists:

• Andrea Picciau's list
• CAS Talks
• Circuits and Systems Group: Internal Seminars
• Level 9 Mahanakorn Lab., EE Dept.

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