PMSM_PI_decomposition

本算法是一种变步长的LMS算法，可以适用于智能算法等相关技术中(this algorithm is about a variable step-size LMS adaptive filter,and can be implied in samrt antenna)

各种数字调制信号的产生，包括QAM,FSK,PSK,MATLAB程序(All kinds of digital modulation signal generation, including QAM, FSK, PSK, MATLAB program)

灰色预测gm（1-1）算法，用于短期时间序列预测，包含残差检验等各种必要检验(Gray predicted all the necessary inspection gm (1-1) algorithm for short-term time series prediction, including residuals inspection)

To combat high PAPR, one intuitive solution is to adopt amplifiers to have larger trade-off range. However, these types of amplifiers are generally expensive and have low efficiency-cost, and therefore are of no practical use. On the other side, certain algorithms were introduced and been proved have a good performance of high PAPR reduction. Hence, in this thesis, some currently promising PAPR reduction methods are studied and compared. The performance of these reduction schemes are evaluated by using simulation software, Matlab. NUMERICAL PERFORMANCE EVALUATION OFPAPR REDUCTION TECHNIQUES IN MIMO OFDM WIRELESS COMMUNICATION SYSTEMS. Nice thesis paper with source code and simulation.

自适应回声对消程序Matlab编写，LMS(Application Program to Test Acoustics Echo Cancellation)

本代码主要实现了基于双字典交叉稀疏表示的SAR图像变化检测的功能。(This code mainly realize the function of SAR image change detection is based on the double cross dictionary sparse representation.)

大学生数学建模竞赛2003年A题SARS传播题的Matlab代码(Mathematical Contest in Modeling spread of SARS in 2003 entitled A Question Matlab code)

说明：  声波方程正演模拟小模型波场绘制。只有一层，震源在中间。C程序，Matlab绘图。(Acoustic wave equation forward modeling small-scale model wave field rendering. Only one layer, source in the middle. C program, Matlab graphics.)

说明：  matlab优化方面的例子，包括最短路、生成树等常见的例子(matlab optimization examples, including the shortest path, spanning trees and other common examples of)

信号的FFT变换、经典功率谱分析和现代功率谱分析，周期图法、尤利沃克方法、burg方法、协方差和改进协方差方法(Signal FFT transform, the classic power spectrum analysis and modern power spectrum analysis and periodogram method, method of Julius walker, burg, covariance and the covariance improvement method)