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台湾大学PLL讲义讲稿 讲稿里包括Phase-Locked Loops的工作方式，简化模型，仿真图及其应用。(National Taiwan University PLL lecture Script to include in Phase-Locked Loops work, the simplified model, the simulation diagram and its application )

地震波阻抗反演，用于一维、二维褶积模型，其中梯度函数和目标函数根据自己的需要建立(Seismic impedance inversion, for one-dimensional, two-dimensional convolution model, in which the objective function and the gradient function according to their own needs to establish)

MATLAB电机仿真精华50例,源代码，中的一部分源代码(MATLAB simulation of the essence of motor 50 cases, source code, part of the source code)

说明：  由simulink搭建的动态前馈控制系统模型(Simulink set up by the dynamic feedforward control system model)

matlab用于分析图像去噪处理，含有多种算法的比较分析，还是比较全面的，适合用做期末论文(for the analysis of image denoising matlab is quite comprehensive, comparative analysis, containing a variety of algorithms, suitable for use as the final paper)

cette fonction permet de tracer les courbes d un signal

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].

单轮模型lqg最优控制方法，包含路面谱产生，车辆单轮模型，lqg控制方法(Single wheel model lqg optimal control methods, including road spectrum generation, single wheel vehicle model, lqg control method)

是一个讲解十分详细的模型预测控制入门教程(Is a very detailed tutorial on model predictive control)

验证可用，分析了该信号的时域、频域、倒谱，循环谱等,构成不同频率的调制信号。( Verification is available, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Constituting the modulated signals of different frequencies.)