Signal Processing and Pattern Recognition for Object Detection by Combination of Neural Network and Wavelet Using a Magnetic Sensor
Publish place: 15th Iranian Conference on Electric Engineering
Publish Year: 1386
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICEE15_035
تاریخ نمایه سازی: 17 بهمن 1385
Abstract:
The practical utili:ation ofobject detection and classiJication, in high-petformance struclut'al ntine detection or proxinti!1t fuses is somewhal
intpeded due to some contplicated phenomena such as: existence of multiple u,ave ntodes, jamnting, high susceptibility to dit erse inletferences, bullty sampled data, clutters and dfficulty in signal interpretation An intelligent signal processing approach using the wayelet
transform and artificial neural nehuork algorithnts y,as det,eloped; this vas actuali:ed in a signal processing package. The intelligent signal processing lechnique comprehensit,ely functions as signal f ltration, data compression and pattern recognition, capable of extracting essential features front acquired rau, yi,at,e signals andfurther assisting in structural mine detection or proximity fuses evaluation For ttalidation, the algorithm v,as applied to the detection and classification of l0 dffirent objects.
Keywords:
Authors
Abolghasem Daiechian
Shiraz University
Paknoosh Karimaghaie
Shiraz University