Digital signal processing and analysis of speech and image data

Digital signal processing and analysis of speech and image data

This research investigates a digital hardware oriented system that uses a genetic algorithm (GA) for optimizing a pattern classifier based on the pulsed neural network (PNN). The scheme avoids the usage of multipliers and dividers, which are the bottlenecks for digital hardware implementation of...

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Bibliographic Details
Main Author: Low, Kay Soon
Other Authors: School of Electrical and Electronic Engineering
Format: Research Report
Language:English
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:http://hdl.handle.net/10356/14508
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Institution: Nanyang Technological University
Language: English
Description
Summary:This research investigates a digital hardware oriented system that uses a genetic algorithm (GA) for optimizing a pattern classifier based on the pulsed neural network (PNN). The scheme avoids the usage of multipliers and dividers, which are the bottlenecks for digital hardware implementation of parallel computations like GA and neural networks. A new model for the pulsed neural network has been developed in this research. In this model, the information is coded in terms of firing times of pulses that are generated by the neuron. The pulses transmit through the network and excite the dynamics of the neuron. Their synchronism is utilized to design the architecture of the neural network such that it acts as a RBF network.

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