MIT_matlab

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.)

稀疏表示经典著作 John Wright et al, Robust Face Recognition via Sparse Representation , PAMI 2009的程序(# impFaceRecognition A Matlab implementation of Face Recognition using Sparse Representation the original paper: John Wright et al, Robust Face Recognition via Sparse Representation , PAMI 2009. In our implementation, we propose a Multi-scale Sparse Representation to improve the performance compared to the original paper. If you use our code, please cite the paper: Multi-scale Sparse Representation for Robust Face Recognition )

关于圆柱绕流的matlab模拟仿真实验和初步计算.(Flow around a cylinder about matlab simulation experiments and a preliminary calculation.)

说明：  该程序为关于pcm编码和pcm解码的matlab实现(The program on the pcm coding and decoding matlab achieve pcm)

基于S变换的短时电能质量扰动检测方法，从S变换的结果S模矩阵及S复矩阵中提取出所需数据并以此来对各种扰动情况下的电压暂降的幅值、相位跳变、持续时间和谐波含量进行分析(Disturbance detection method based on the results of short-term power quality S transform from S Mode S transform matrix and complex matrix S to extract the required data and use it to various disturbances in case of voltage dips in amplitude, phase jump variable, duration and content of harmonic analysis)

MIMO-OFDM implementation in Matlab

说明：  在matlab中实现信号的模数以及数模转换，并包含简单的界面(achieve the Matlab Signal Module and hundreds of analog conversion, and includes a simple interface)

高斯拟合。。。。。。。。。。。。。。。。。。。。。。。(gaussian fitting。。。。。。。。。。。。。。。)

阵列信号处理的MUSIC算法：经典MUSIC源程序，求根MUSIC算法源程序，波束空间MUSIC算法源程序，基于解相干的MUSIC源程序，基于四阶累积量的MUSIC算法。(MUSIC algorithm array signal processing: classical MUSIC source, Roots MUSIC algorithm source, beam-space MUSIC algorithm source code, source code based on decoherence of MUSIC, fourth-order cumulant based MUSIC algorithm.)

帮助大家学习matlab和mathmatica(help you learn matlab)