MATLAB-SIMULINK

Levenberg-Marquardt算法 使用Levenberg-Marquardt算法来最小化(Levenberg-Marquardt algorithm using the Levenberg-Marquardt algorithm to minimize the model)

the Horn-schanks implemented code for matlab that represent the movement of images in multiple levels , this method is better than lucas-kannad

指纹识别预处理.细线化处理，C++翻译过来MATLAB坐仿真处理，适合初学者学习(fingerprint matching)

采用仿射变换通过反复循环分别绘制出植物生长模拟图和Sierpinsk三角形分形图案，是matlab的应用(Affine transformation by using repeated cycles of plant growth simulation were drawn map and Sierpinsk triangular fractal pattern, the application is matlab)

语音信号的采集与处理，数字信号处理课设，MIT人工智能实验室的目标识别的源码,完整的图像处理课设，包含所有源代码，汽车图像。( Acquisition and Processing of the speech signal, digital signal processing class-based, MIT Artificial Intelligence Laboratory identification of the target source, Complete class-based image processing, contains all of the source code, auto image.)

这是一个模拟第3类模式地震波的matlab脚本。 This a collection of Matlab scripts that solve the antiplane (mode III) earthquake dynamic problem with slip-weakening friction, on a 1D fault embedded in a 2D homogeneous elastic unbounded medium. The problem is formulated as a boundary integral equation and the elastodynamic kernels are analytically derived in the spectral domain (spatial wavenumber). The method is explained e.g. by Morrysey and Geubelle (1997), and has been improved and extensively used by Nadia Lapusta, Alain Cochard, etc. (This is a Class 3 model simulation of seismic waves of matlab scripts. This a collection of Matlab scripts that solve the antiplane (mode III) earthquake dynamic problem with slip-weakening friction, on a 1D fault embedded in a 2D homogeneous elastic unbounded medium.The problem is formulated as a boundary integral equationand the elastodynamic kernels are analytically derived inthe spectral domain (spatial wavenumber). The method is explained eg by Morrysey and Geubelle (1997), and has been improved and extensively used by Nadia Lapusta, Alain Cochard, etc.)

The MATLAB Genetic Algorithm Toolbox

The idea of a filterbank on a non-linear(mel) frequency scale(filter bank for mel)

matlab中的禁忌算法。主要解决函数优化，寻最优值问题(In matlab ，it can revolosion the problem about chath the rightes answer .)

针对信号自适应chirplet分解未知参数多、实现起来比较困难的特点，文献[1]提出了一种新的chirplet分解快速算法。该算法利用计算信号的二次相位函数，得到其能量分布集中于于信号的调频率曲线上的结论，此时通过谱峰检测可同时获得chirplet调频率、时间中心和幅度的估计；然后通过解线性调频技术获得其初始频率和宽度的估计，仿真结果验证了本文算法的有效性。 (For the signal adaptive the chirplet decomposition of unknown parameters to achieve difficult to literature [1] proposed a new fast algorithm for chirplet decomposition. The algorithm makes use of the secondary phase of the calculated signal function, the conclusion focused on energy distribution curve to tune the frequency of the signal by the peak detection chirplet tune frequency, time center and amplitude estimates then by solving chirp technology to obtain the initial frequency and width is estimated that the simulation results demonstrate the effectiveness of the proposed algorithm.)