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FFT sample matlab code

产生任意长度的M序列，并计算该M序列的自相关函数和功率谱密度函数。用于系统辨识(Generated sequence of random length M, and calculate the M series autocorrelation and power spectral density function. For system identification)

对光纤系统中的NRZ时域和频域特性进行了描述，值得一看(fiber NRZ system of time-domain and frequency domain characteristics of the description of an eye-catcher)

数据联合检测与信道估计源码，此为博士论文相关程序，对信道及信号检测有详尽的描述和仿真(Joint data detection and channel estimation source, this doctoral thesis program, a detailed description of the channel and the signal detection and simulation)

MATLAB toolbox control engineering technical manual. This book provide readers with the use of MATLAB practical guidance. Mainly with the introduction of the MATLAB control engineering related to six basic toolbox: System Identification Toolbox, Control System Toolbox, Robust Control Toolbox, Model Predictive Control Toolbox.

说明：  基于matlab实现的遗传算法，非常的全，很有用(it is based on matlab,)

包含粒子滤波器，卡尔曼滤波，Copula函数的应用，适合适合新手学习，共享(Including particle filter, Calman filter, Copula function application, suitable for novice learning, sharing)

基于Harris原理的亚像素角点坐标检测Matlab程序；直接运行click_calib .m文件即可获得亚像素级角点坐标，附录Ⅱ中的其它函数文件均会被click_calib .m文件调用。(Based on the principle of subpixel Harris corner coordinates detection Matlab procedures run directly click_calib. M file to obtain sub-pixel corner coordinates, Appendix Ⅱ other functions in the file will be click_calib. M file called.)

In this work, the Mel frequency Cepstrum Coefficient (MFCC) feature has been used for designing a text dependent speaker identification system. The extracted speech features (MFCC’s) of a speaker are quantized to a number of centroids using vector quantization algorithm. These centroids constitute the codebook of that speaker. MFCC’s are calculated in training phase and again in testing phase. Speakers uttered same words once in a training session and once in a testing session later. The Euclidean distance between the MFCC’s of each speaker in training phase to the centroids of individual speaker in testing phase is measured and the speaker is identified according to the minimum Euclidean distance. The code is developed in the MATLAB environment and performs the identification satisfactorily.

说明：   M-file for Project 1 on line parameters and circuit models in Chapter 3 m1.m determines the RLC parameters of the line from its physical description and then computes the ABCD matrix and the circuit parameters of the series RL, nominal pi and equivalent pi model of the line. It computes and plot the receiving-end real and reactive power circle diagram of the line assuming that the voltage magnitude at the sending- and receiving-end are kept constant.