ART2

HR_SF01_05_流程图 设计资料 PPT版本 对于初学MATLAB的人会有帮助(PPT version of the design information HR_SF01_05_ flowchart MATLAB for beginners who would be helpful)

QAM实现程序 此程序实现了QAM信号的输出，通俗易懂。(QAM procedures to achieve the realization of this process the output of the QAM signal, easy to understand.)

说明：  基于MATLAB的双音多频电话模拟^^^^^^^(failed to translate)

图像的压缩编码（JPEG），可以下载看看(Image compression (JPEG), you can download to have a try)

Solar pv Maxi Series leaflet_release_Oct 12

Joint Estimation of Channel and Oscillator Phase Noise in MIMO Systems Hani Mehrpouyan, Member, IEEE, Ali A. Nasir, Student Member, IEEE, Steven D. Blostein, Senior Member, IEEE, Thomas Eriksson, George K. Karagiannidis, Senior Member, IEEE, and Tommy Svensson, Senior Member, IEEE IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 60, NO. 9, SEPTEMBER 2012 1

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)

说明：  自适应滤波算法与实现的相关算法程序，大家可以参考学习！(Adaptive filtering algorithm and implementation of procedures related algorithms, we can refer to learn!)

source code for iterated local search using matlab

芬兰人海韦里恩 的基于负熵最大的固定点ICA 文件很长 有详细程序说明 很有参考价值(Finn Haiweilien largest negative entropy-based fixed-point ICA file for a long detailed description of the procedures was useful)