ZF-MMSE

特徵粹取（feature extraction）是特徵選取（feature selection）的延伸，簡單地說，我們希望將資料群由高維度的空間中投影到低維度的空間，因此，我們必須找出一組基底向量（base）來進行線性座標轉換，使得轉換後的座標，能夠符合某一些特性。 我們可以將特徵粹取分成「包含類別資訊」和「不包含類別資訊」兩大類。包含類別資訊指的是我們已經知道哪些資料分別歸屬於哪一類；而不包含類別資訊的特徵粹取則適用於我們不知道手上的資料點分別該歸屬於哪一類，甚至連該劃分成幾類都不知道的情況。對於這兩大類資料，可以分述如下： 對於「不包含類別資訊」的資料，我們通常使用「主要分量分析」（principal component analysis），簡稱 PCA。 (Cuiqu features (feature extraction) is feature selection (feature selection) extension, simply put, we want to base the projection data the high-dimensional space to low-dimensional space, so we have to find a set of basis vectors ( base) to the linear coordinate conversion, so that after the coordinate conversion, can meet a number of features. We can feature Cuiqu into " category contains information" and " does not contain a category of information," two categories. Contains categories of information refers to what we already know what kind of information are attributed to Cuiqu features include categories of information are not applicable to information we do not know the points are in the hands of the home in which category, and even that is divided into several class do not know the situation. For these two categories of information, can be divided as follows: For information " does not include the categories of information" , we usually use the " )

this program support ofdm systems using 8PSK modulation. ofdm utilize fft/ifft module to transmit parallel data streams

快速实现预测，SVM方法改进，混沌时间序列。注意：7.0版本以上SVM数据包qp.dll不能运行，需要改。(Rapid realization of prediction, SVM method to improve, chaotic time series. Note: The 7.0 version of the above packet qp.dll SVM can not run, needs to change.)

激光雷达，干涉条纹解包裹，对从事激光合成孔径光学测量方向的人有用。(Laser radar, interference fringe unwrapping of synthetic aperture laser optical measurement in the direction of being useful to people.)

图形的原始信号和加噪声后的信号，以及原始信号的matlab程序，能够较好的实现信号的仿真(The graph after the original signal and processing noise signals, as well as the original signal matlab program, to be better able to achieve signal simulation)

AdaBoost, short for Adaptive Boosting, is a machine learning algorithm, formulated by Yoav Freund and Robert Schapire. It is a meta-algorithm, and can be used in conjunction with many other learning algorithms to improve their performance.

SIR (signal to interference) calculation given power matrix and association information. S/I for 1st interferer, 2nd interferer and all weak interferers combined are also calculated

永磁同步电机的直接转矩控制，控制效果很好！通过磁链和转矩估计，达到对转矩的直接控制。(Direct torque control of permanent magnet synchronous motor, the control effect is very good!Estimated by the flux and torque to achieve the direct control of the torque.)

粒子滤波器PF matlab代码，各行代码都有详细说明

matlab simulation program for MSK transmission systems