Recording Source Committal Proceedings Signal Processing Based On Auto-adapted Technical

The electromagnetism signal’s examination is domain and so on correspondence,electromagnetic compatibility, information interception technology bases. Theelectromagnetism signal generally passes through certain degree from the source endrevelation the weaken, to the situation signal which may detect actually was quitealready weak. The research near field, the low frequency weak electromagnetismsignal’s examination technology has the important meaning. But along with theelectronic informationization’s rapid development, the mobile phone, equipment’s andso on digital the sound recording pen applications is getting more and more common,and is gradually high to the integration, volume small tendency development.Because this kind of sound recording image storage device’s use creates divulged asecret the threat to be already imminent. Therefore needs to develop one kind ofapplication to ford the dense place the numerical code voice recording equipmentexamination system, has the significant value regarding the national informationmonitoring as well as the privacy communication system.Based on popular now the application of adaptive system in weak signaldetection, we have really clear adaptive weak signal detection is a very common andbasic terminology. It means that the time-varying signal processor, since theadjustment. We believe that the performance of such system is meaningful and useful,sometimes even in some sense is intelligent. This paper introduces in detail therelevant principle and the characteristics of the adaptive signal detection and itsgeneral properties, and trap are given on the application, principle and algorithm ofadaptive filter.This article only aims at self-adaptive system’s in sound recording source signalprocessing application to elaborate that the self-adaptive system denoising’sapplication method, embarks from the signal detection principle, then elaborated that self-adaptive system’s in weak signal detection development, as well as theauto-adapted filter’s principle of work, and as experiments the platform take matlab,uses the smallest mean square (LMS) the algorithm to carry on processing to theweak signal, and gives simulation experiment’s process, the code, and experimentalresult analysis, in order to more careful elaboration auto-adapted denoising system’sin weak signal detection application.This article has completed the independent design sound recording sourcecommittal proceedings system, uses the auto-adapted data processing method, designsthis sound recording source system’s computation pattern, carries on the dataprocessing to the acoustic source. Through the MATLAB software, the simulationrealizes in the trapped wave, filter’s weak signal detection, completes in the soundrecording source system the auto-adapted data processing method simulation analysis,grasps the weak signal detection the principle and the method.In this study, in view of the sound source signal designed a notch function andadaptive denoising system with filtering functions, and through the analog signals aresimulated. And, more importantly, to detect the use of the research value, this designUSES the real data instead of analog data simulation, test and proved in this articlethe design of the adaptive notch filter is practical, is also proved that the research inthe field of development in future.