Blackman-window-filter

matlab中的部分遗传算法程序，欢迎大家来分享(matlab genetic algorithm in the part of the program, welcome you to share)

语音信号的lpc分析，该程序实现了与语音预测器的阶数与预测残差能量的关系(The speech signal LPC analysis, the program with the order of the prediction residual energy of the speech predictor)

说明：  matlab信道模型，用于模拟OFDM系统对ISI的改善。(Matlab channel model to simulate OFDM system to improve the ISI.)

cfo freq offs etimation

source code for curve fitting PSO

说明：  MIMO通信系统中两点结构模型下采用ZF准则预编码检测误码率性能的仿真(MIMO communication systems in the two structural model under the rule of using ZF precoding detection bit error rate performance of the simulation )

二维地震的反演程序，对学习地震数据处理很有用的哦(Two dimensional seismic inversion program, useful for learning seismic data processing.)

说明：  AR-MED 滤波，可用于轴承故障诊断，齿轮故障诊断(AR-MED filter for bearings fault diagnosis)

FPV相册傻瓜式教程,对于想使用FPV的新手来说值得一看。(FPV album fool tutorial, you want to use for novice FPV worth a visit.)

Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of Gaussian distribution is text-dependent one. For this technology a speaker is described by a set of HMMs, constructing the set of speech groups spoken by that person. The speech groups may be phonemes or words [7]. The text-independent technology is rested upon Gaussian Mixture Speaker Models. For this technology each speaker is defined by only one model describing all utterances of that person. Identification in the range of both approaches is executed by evaluation of maximum a posteriori probability [7].