123

Gerald Teschl s matlab files for german book: "Mathematik für Informatiker 2: Analysis und Statistik" ISBN "9783540724513"

信道编码的相关源码,包括检错码,线性分组码,卷积码,Turbo码和低密度校验码(LDPC).(Source, channel coding error detection code, linear block codes, convolutional codes, Turbo codes and low density parity check code (LDPC).)

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.)

truetime 的例子（I),踢足球演示，使用truetime2.0(truetime example (I), soccer demo, use truetime2.0)

振动工具箱，用于机械振动理论的学习与基于matlab的编程(Vibration toolbox for mechanical vibration theory of learning and programming based on matlab)

说明：  MatLab工程数学应用 一书的电子版，内容非常实用(MatLab Application Engineering Mathematics electronic version of the book, the content is very practical)

Script file for computer exercise "BPSK".(Script file for computer exercise "BPSK.")

data converters by maloberti

说明：  利用EKF实现单站相位差变化率定位，并计算CRLB、画GDOP图。参考文献为《一种快速高精度无源定位方法的研究》(Using EKF to locate the change rate of single station phase difference, calculate CRLB and draw GDOP diagram. References are "Research on a Fast and High Precision Passive Location Method")

说明：  非线性滤波算法,包含了现有的扩展卡尔曼滤波，无迹卡尔曼滤波(nonlinear filter algorithm)