kalman

MATLAB系统仿真实例教程MATLAB simulation examples tutorial(MATLAB simulation examples of MATLAB simulation examples tutorial tutorial)

good simulink program for ldpc

选取windows系统自带的ding.wav信号作为分析对象，在Matlab软件平台下，利用函数wavread对音频信号进行采样，记住采样频率和采样点数，听一下原始声音sound(y, fs, bits)。 （2）音频信号的频谱分析，先画出音频信号的时域波形；然后对音频号进行快速傅里叶变换fft(y,N)，N取32768，画出信号的频谱特性，加深对频谱特性的理解。 （3）根据频谱，反演时域特性，画出时域波形。寻找幅值最大的两个频率，此频率除以fft点数在乘以采样频率就是信号的主频，即可合成信号的时域图形，听一下声音。 （4）对原音频信号进行1024点的分段付立业分析meshgrid （5）根据主要频线合成音频，并画出时域图形，试听合成效果。 （6）采用线性插值（linspace）和傅立业反变换(fliplr, ifft)分别合成音频，并画出时域图形，试听效果。 (err)

一个分析语音的maple程序，检测声音的频率。老师上课的实验。(sample code of SPECCH ENCODING)

[自動控制]CLOSED LOOP POLES計算工具，使用者輸入系統Function(由TF, ZPK, SS, FDS建立)，以及feedback controller，程式會計算出closed loop poles. (CLOSED LOOP POLES calculation tools for automation control. POLE=POLEPLACE(P,C) returns the closed loop system poles for a given plant P and a given controller C. Input P is the given plant (created with either TF, ZPK, SS, or FRD). Input C is the given controller. Output POLE is a vector representing all desired closed loop poles. )

级联型逆变器相关的一些资料，希望对大家有用 。(Cascaded Inverter)

基于nsga2的分时电价相关程序(考虑电动汽车负荷在内)(TOU based on nsga2)

Jpeg2000Gui的MATLAB程序实例，适合JPEG2000算法的初学者。(Jpeg2000Gui MATLAB procedures example, JPEG2000 algorithm suitable for beginners.)

controle indépendant des puissances active et réactive de la MADA (DFIG)

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].