MATLAB

广义的互相提取时延算法,此程序是基于matlab的源程序,适用于非高斯信号和高斯白噪声的情况(Generalized mutual delay extraction algorithms, this procedure is based on the matlab source, applicable to non-Gaussian signal and Gaussian white noise situation)

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.

Ordinary and Partial Differential Equation Routines in C, C++, Fortran, Java, Maple, and MATLAB

利用matlab软件设计并仿真下面的无线通信系统。模拟信源为单音频信号。模拟调制方式为ASK。信道为多径信道（仿真中2径），信道中噪声为加性高斯白噪声。采用相干解调接收。画出了解调器输出端性能曲线与点信噪比SNR的关系。(Software design and simulation using matlab the following wireless communication systems. A single analog audio signal source. Analog modulation is ASK. Channel multi-path channel (simulation 2 diameter), channel noise is additive white Gaussian noise. The use of coherent demodulation receiver. Draw the output of the demodulation performance curve and the point of the relationship between signal to noise ratio SNR.)

基于matlab关于计盒维数的程序代码，关于电树枝的分形维数(code of fractal dimension based on matlab)

分形维数研究声发射时间序列上的撞击率的higuchi维数(Fractal dimension study on the Higuchi dimension of the impact rate in acoustic emission time series)

说明：  具有柔性关节的机械臂matlab仿真，主要是学习如何仿真机械臂的柔顺控制(Matlab simulation of a robotic arm with flexible joints, mainly to learn how to simulate the compliance control of a robotic arm)

good matlab files for rolling mill type models.............

This package contains the code for the Enhanced Local Subspace Affinity (ELSA) with Enhanced Model Selection (EMS+) and number of motions estimation based on the eigenvalue spectrum of the Symmetric Normalized Laplacian matrix.

PCA的matlab程序及实例，供参考和学习。(PCA matlab procedures and examples for reference and learning.)