Digital Signal Processing System Recognition
Sorin Zoican · 2001
This paper evaluates the possibility to use a Digital Signal Processor (DSP) in order to implement an image pattern recognition system based on neural network architecture. The paper is organized as follows: section I represent a brief introduction in neural networks architectures and how such architecture can be used in pattern recognition, section I1 present the implementation of the neural network using a very powerful DSP microcomputer (e.g. ADSP 2189 f#om Analog Devices), section 111 illustrated the main results for a letters recognition system (execution time and error probability) and section IV represents the conclusions.