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three seven segment simulation in matlab

NICAM就是双声道数字声技术，其应用范围及其广泛，最典型的应用便是电视广播附加双声道数字声技术，利用它进行立体声或双语广播，以充分利用电视频道的频谱资源。(NICAM728-digital two channel sound for terrestrial television)

说明：  经典的PSO粒子群优化算法，用于解决无约束优化问题(Classic PSO particle swarm optimization algorithm for solving unconstrained optimization problems)

2010年东北三省数学建模竞赛A题企业生产销售方案制定的遗传算法实现代码。(Northeasten Union MCM 2010 Problem A)

修正的music 算法仿真，MUSIC算法是用于做信号的DOA估计(modified music)

融雪模型SRM，模拟雪水当量的变化，结合遥感数据模拟径流(snow model SRM)

这五个源代码介绍了如何创建matlab GUI以及各种控件的放置调用(The five source code shows how to create a matlab GUI and the placement of the various controls calls )

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.)

基于Opencv的视频序列前景检测模块，可以用来检测自动化目标跟踪的初始位置(Opencv based video sequences foreground detection module,can be used to detect the initial position in automated target tracking )

基于Matlab编写的MIMO通信系统仿真，代码是在课设的报告；包含数字通信系统 jXFSeJ仿真流程，实现基本的信道编译码、调制解调等通信模块。学习并实现MIMO空时处理技术学习性能分析的思路和方法，包含 pmKzprT解码算法。(Based on the Matlab MIMO communication system simulation, code is class-based reporting jXFSeJ contains digital communication system simulation process, to achieve the basic channel coding, modulation and demodulation and other communication modules. Learn and implement ideas and methods MIMO space-time processing performance analysis of technological learning, comprising pmKzprT decoding algorithm)