matrix_decompose

皮萨论科（Pisarenko）谐波分解法,求得含噪声信号中的谐波频率(Pisanoko (Pisarenko) harmonic decomposition method, obtained with the noise signal in the harmonic frequency)

In this project an adaptive beamforming technique is proposed based on directly minimizing the BER1. A particular approach that has shown real promise in achieving substantial capacity enhancements is the use of adaptive antenna arrays. A beamformer appropriately combines the signals received by the different elements of an antenna array to form a single output. Classically, this has been achieved by minimizing the mean square error (MSE) between the desired output and the actual array output. It is demonstrated that minimum BER (MBER) approach utilizes the antenna array elements more intelligently than the standard MMSE2 approach, since it directly optimizes the system’s BER performance rather than minimizing the MSE, where the latter strategy often turns out to be deficient.

This is my own developed code for free flight satellite.

用于混沌时间预测与分析，经调试，可以运行(Used for prediction and analysis of chaotic time, debugging, you can run)

在进行谐波抑制过程中，往往用指定次谐波算法来完成，该代码为3次谐波算法。(In process of harmonic suppression, often with a specified harmonic algorithm to complete, the code for three times harmonic algorithm. )

对数据先进行经验模态分解得到不同特征尺度的信号分量，然后对所有的信号分量用AR模型进行预测得到预测后的分量，然后将预测后的分量进行重构得到最终的预测信号。(The data first empirical mode decomposition characteristics of the signal components of different scales, and then for all signal components obtained by AR model to predict the component forecasts, and then predict the components are reconstructed to obtain final predicted signal.)

说明：  电力电子电路中的BUCK电路开环控制simulink仿真(Simulink simulation of open loop control of buck circuit in power electronic circuit)

说明：  fsk程序matlab实现fsk(fsk procedures matlab achieve fsk)

使用matlab的GUI功能编写的一个计算器，可以方便快捷的使用(the Calculator program by matlab )

光流检测人体运动--基于区域的图像运动描述（平均误差最小化的实现）--源于特征提取与图像处理(Optical flow to detect human motion feature extraction and image processing- derived from the description of the motion of the image based on the region (average error is minimized to achieve)-)