Kalmanfilter

How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)

使用matlab语言编程实现加减乘除的运算(Arithmetic of addition, subtraction using matlab)

基于分数阶Fouricr域的二值数字水印算法(Domain based on fractional Fouricr binary digital watermarking algorithm )

planet rendering program implementation

linear acceleration

simulation with opnet for asimulation with matlab

FSK调制解调MATLAB源代码 高斯白噪声 调制 眼图 信噪比 (FSK modulation and demodulation MATLAB source code modulation Gaussian white noise signal eye diagram )

说明：  进行哈夫曼编码，并元素的码字，平均码长等(for Huffman coding, and elements of code words, the average yards long)

机器学习算法adaboost的一个新版本，相比以前的0.3版，修正了几个BUG。(A new version of adaboost in machine learning algorithms.Compared of the previous version, some bugs are modified.)

说明：  匹配追踪和正交匹配追踪的算法。用于时频分析算法。(mathing pursuit algorithm )