Title :
Signal extraction algorithm of high-tension and low-tension based on artificial intelligence
Author_Institution :
Dept. of Software Eng., Shenzhen Inst. of Inf. Technol., Shenzhen, China
Abstract :
This paper has achieved stimulate a signal extraction algorithm of high-tension and low-tension through analyzing eyes and brain which identify infrared remote control waveforms and interference signal waveforms, judging effective infrared remote control signal or interference signal. The algorithm has made high-tension and low-tension, multi-source signal into public mode by typing-ordering, and processing, secondly filter signal, thus achieving multi-source coupling of infrared remote control. Based on the algorithm of remote control signal identified it has completed infrared remote control switch IC which has got good application in the design of an energy saving lamp.
Keywords :
artificial intelligence; brain; eye; feature extraction; filtering theory; interference (signal); medical signal processing; telecontrol; waveform analysis; artificial intelligence; brain; eyes; infrared remote control; interference signal; multisource coupling; signal extraction algorithm; signal filtering; typing-ordering; waveform analysis; Algorithm design and analysis; Brain modeling; Control systems; Feature extraction; Humans; Interference; Process control; algorithm; high-tension and low-tension; infrared remote control; interference signal; multi-source coupling; type-ordering;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023819
