FFT

自编的PSO算法，用于求解函数极值非常不错(Self of the PSO algorithm for solving the extreme value function is very good)

一种OMP算法，用于压缩感知稀疏信号恢复算法，性能比传统的OMP好。(One kind of OMP algorithm for compressed sensing sparse signal recovery algorithms, the performance is better than the traditional OMP.)

用于进行声压转换的matlab文件，声压数据来源于ansys软件的计算后导出来的。(Used for sound pressure to convert matlab file, sound pressure data from the calculation software ansys guide out.)

Wavelet denoising For using this code need to use signal toolbox and general toolbox in your matlab In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size 512 by 512 and then generate noisy image by adding a Gaussian noise but under the condition of having SNR=20dB by select the suitable value of variance for Gaussian noise formula. Second step is performing wavelet denoising using the hard thresholding (Use the db 6 for four levels) in the condition of finding the optimal thresholding value of T in terms of the SNR obtained. It means that, we should find the highest SNR value by finding the suitable value for threshold. Then we asked to do the same process but this time using soft thresholding. Finally for the last part of question one, we should compare the results of the obtained SNR with the recommendations of 3*sigma for the hard thresholding and 3/2*sigma for the soft thresholding.

说明：  基于LMS算法的自适应波束形成算法，可以抑制宽带噪声，并实现目标方位的估计。(The adaptive beamforming algorithm based on LMS algorithm can suppress the wideband noise and realize the target azimuth estimation.)

transmission of communication signals

说明：  masing规则的应用 给出masing规则在非线性分析中的应用例子。( application of the rules of masing)

MATLAB_SImulink通信系统建模与仿真实例分析+源代码，其中包括加速度仿真与实际测量结果，考虑RLC串联环路的状态方程函数等源程序(MATLAB_SImulink communication system modeling and simulation analysis+ source code examples, including the acceleration of simulation and actual measurement results, consider the state equation of RLC serial loop functions such as source)

It is Simulink model for Double-sideband transmitter.

再用主成分分析方法进行信号噪声去除。文件中包含三个子函数：1.Normalize_InputData，规则化输入数据；2.PCA_Reduce_Dimension，实现数据降维处理；3.PCA_Filter_Noise，实现噪声去除(the principal component analysis method for signal noise removal. The file contains three sub-functions: 1.Normalize_InputData, regularized input data; 2.PCA_Reduce_Dimension, to achieve data dimension reduction processing; 3.PCA_Filter_Noise, to achieve noise removal)