CMA_Equalizer

PCA技术的一大好处是对数据进行降维的处理。我们可以对新求出的“主元”向量的重要性进行排序，根据需要取前面最重要的部分，将后面的维数省去，可以达到降维从而简化模型或是对数据进行压缩的效果。同时最大程度的保持了原有数据的信息。 (A major advantage of PCA technology is reduce the dimension of the data processing. We can calculate the new " principal component" vector order of importance, according to need to take the most important part of the front, eliminating the rear of the dimensions, dimension reduction can be achieved to simplify the model or the effect of data compression . At the same time maintaining the greatest degree of the original data.)

利用3sigma法则判断并剔除粗大误差。使用matlab语言编程。(eliminate wrong data with three-sigma principle)

对qpsk一个整体的仿真，从源信号的生成，调制，加载波，解调等，步骤清晰，与通用教材原理图逐步仿真而来(Qpsk simulation of a whole, the signal generated from a source, modulation, plus carrier demodulation step clarity, and general simulation of materials gradually from the schematic)

FIND COUNTOUR WITH FAMOUS ALGORITHMS

用matlab软件，实现adaboost算法。将数据集划分为训练集和测试集，给训练集的数据贴标签，用训练好的模型来测试测试数据的准确度。(Using Matlab to implement the AdaBoost algorithm. The data set is divided into training set and test set to label the data of the training set, and the accuracy of the test data is tested by the trained model.)

Run RGB Video and watch the R-G-B Video Components parralel to the original Video

说明：  在Matlab环境下编写的自动选步长的自适应步长的辛复生公式(in Matlab environment prepared by the automatic election of Adaptive Step-step formula Xin Fu)

说明：  本程序实现了8DPSK的调制与传输，计算了误码率等性能参数(This procedure implements the modulation and transmission 8DPSK calculated performance parameters such as bit error rate)

Implementation of Quadrature Amplitude Modulation-Demodulation

matlab均值漂移算法源码，在matlab中可以实现任何avi视频中内容的跟踪(Mean Shift Object Tracking Code)