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The Research Of Practical Characteristics In Bistable Stochastic Resonance System And It's Application

Posted on:2012-07-30Degree:MasterType:Thesis
Country:ChinaCandidate:X N LiuFull Text:PDF
GTID:2178330338490956Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
Over several years, stochastic resonance phenomenon having been paid attention to in all aspects of the signal processing realm; It broke the traditional line system rule of signal examination and developed new path in the nonlinear system; Its principle also creates new style; According to the traditional signal processing, get rid of the noise is an essential link to have; However, the stochastic resonance can make use of the conjunction with noise, signal and nonlinear system; then the energy of noise convert into signal energy and signal will be measured out.At present, the system of stochastic resonance contains variety, but mostly discuss the ideal white noise. Aiming at the signal and noise esistence in real system, we do more research on practical characteristic in bistable system. Studious labors and gains are as follows:(1)Do more indepthde theory analysis with bistable stochastic resonance system; Specially discussed the energy distributes of noise which can make influence to stochastic resonance; Conclude the evalution method of stochastic resonance.(2)Noise is the absolutely necessarily condition that the stochastic resonance occur but in real system esist not ideal white noise; Using filter technique we simulate a few noise which are likely to exist in real system; Then disscuss different types of noise have different influence of stochastic resonance; Combine to carry on imitating reality to chece an give some worthy conclusions.(3)Aiming at stochastic resonance is unfit for big frequency signal examination, make modulate theory into stochastic resonance system; According to the characteristic of noise in real system, simulate the noise that only exist in signal surroundings; Then study the effect to stochastic resonance, at the same time, propose to smooth noisy signal using reoetitious stochastic resonance, and give a result.(4)Basing on the above nanlyses: apply stochastic resonance to the big frequency detection, adaptive theory be used to self-regulat system parameter; Repetitious stochastic resonance further to improvement the result; At last, apply it to measure the folw of whirlpool and obtaine good simulation results.
Keywords/Search Tags:Stochastic resonance, Bistable system, Noise, Flter, Adaptive signal process
PDF Full Text Request
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