ranmut

流形学习算法LTSA的线性化方法，在基因分类聚类中得到了应用，可以将新样本线性地投射到低维空间。(LTSA manifold learning algorithm of the linearization method, clustering in gene classification has been applied to new samples can be projected onto the linear and low-dimensional space.)

自适应逆控制的MATLAB m文件 很有用自适应逆控制的程序(Adaptive inverse control of MATLAB m file is very useful adaptive inverse control program)

基于MATLAB的m序列的产生及相关特性仿真(Based on the MATLAB m sequences and related characteristic simulation )

包括kf，ekf，pf，upf可以自己定制模型参数，完成滤波(ReBEL currently contains most of the following functional units which can be used for state-, parameter- and joint-estimation: Kalman filter Extended Kalman filter Sigma-Point Kalman filters (SPKF) Unscented Kalman filter (UKF) Central difference Kalman filter (CDKF) Square-root SPKFs Gaussian mixture SPKFs Iterated SPKF SPKF smoothers Particle filters Generic SIR particle filter Gaussian sum particle filter Sigma-point particle filter Gaussian mixture sigma-point particle filter Rao-Blackwellized particle filters The italicized algorithms above are not fully functional yet (or included in the current release), but will be in the next or future releases. The code is designed to be as general, modular and extensible as possible, while at the same time trying to be as computationally efficient as possible. It has been tested with Matlab 7.2 (R2006a). )

说明：  语言：matlab 实现功能：逻辑回归实现分类 输出：predict_label;ACC(Language: matlab Implementation function: Logistic regression implementation classification Output: predict_label; ACC)

相关ARQ中调制解调的源代码！！！！！！(ARQ in the source code modulation and demodulation)

matlab遗传算法程序，包括大量源代码。(Matlab GA procedures, including a large number of source code.)

课程设计时编写的matlab程序代码，采用了小波去噪的思想，脉冲响应的相关分析算法并检验，包括脚本文件和函数文件形式，随机调制信号下的模拟ppm，这个有中文注释，看得明白，用于时频分析算法，外文资料里面的源代码。 ( Course designed to prepare the matlab program code, Using wavelet denoising thought, Related impulse response analysis algorithm and inspection, Including script files and function files in the form, Random ppm modulated analog signal under The Chinese have a comment, understand it, For time-frequency analysis algorithm, Foreign materials inside the source code. )

This code uses MATLAB s Internal Functions and Memory Preallocations to apply a Fast Implementation of kmeans algorithm. This is a efficient code for clustering a gray or Color image or it can be used for clustering a Multidimensional Array. Comparison. 1. Faster than MATLAB s internal kmeans function. 2. Consistant Output than internal kmeans. 3. 100 convergence.

数字图像处理matlab的中值滤波等滤波函数