matlab03w

对录音信号集 中的某一语音，利用BATLAB设计一美尔例谱算法，并实现。 取信号集 中的一个语音信号：“xxxxxx”，将它作为输入的语音信号来为设计一个美尔倒谱算法，在该算法中，主要设计了以下环节： 1.读入一个语音信号；2.对这个信号归一化；3.对归一化的信号进行加窗处理（这里的矩形窗长度必须为257，重帧长64）；4.进行预加重处理，即通过一个高通滤波器： ；5进行512点的FFT；6.分别取模平方得到功率谱；7.在设计的mel滤波器组中，我采用了25个带通滤波器；8.将得到的功率谱信号通过mel滤波器组，得到相应的25个功率值；9.对这些功率值取自然对数；10.对这些值取离散作弦变换；11.将得到的值去掉直流分量，取其它值作为MFCC参数。 (Concentrated on recording a voice signal, using BATLAB designed Mayer cases spectral algorithm, and implementation. Get a voice signal signal focus: "xxxxxx", will it as input for the design of a voice signal to Mel Cepstrum algorithm in the algorithm, the main design of the following links: 1. Read a speech signal 2. On the signal normalized 3. Of the normalized windowed signal processing (here, rectangular window length must be 257, re-frame size 64) 4. For Pre-emphasis processing through a high-pass filter: 5 for 512 points of FFT 6. modulo square were obtained spectrum 7. in the design of mel filter banks, I use a 25 band-pass filter 8 . will be the power spectrum signal by mel filter bank, corresponding to the 25 power values 9. on the power to take the natural logarithm value 10. to take these values as strings of discrete transform 11. will be of value to out DC component, to take other values as MFCC parameters.)

matlab 同步捕获代码，有重要参考价值(matlab is good code for refence)

Image enhancement in spatial domain, the sources include histogram, laplacian, unsharp mask, and spatial filter

神经网络PID自适应控制MATLAB程序集(the collect of the neural network PID adaptivly controls MATLAB procedure)

说明：  利用matlab实现的聚类的一些源码，大家可以(Using matlab to achieve some of the cluster source, we can)

各种MATLAB的基本迭代方法，包括高斯等等，因该有所帮组(Matlab some basic methods )

本程序用三边测量法来计算未知节点坐标且假设用于定位的锚节点位于等边三角形的三个顶点上。(This program uses trilateration to calculate the coordinates of unknown nodes and assume the anchor node for positioning in the equilateral triangle of three vertices.)

buck converter writing in matlab/simulink

本文件内容是聚类算法，对判别个体进行分类，十大经典算法之一，除了程序以外，还有详细的讲解，便于理解。(The contents of the documents clustering algorithm, determine the individual classification, one of the top ten classical algorithm, in addition to the program, there are detailed explanations, easy to understand.)

skyline method. for solving [K]{x}={F}