SWII

此为小波软软阈值去噪的源代码，请放心下载.(This is the wavelet soft threshold denoising source code, please rest assured that download.)

说明：  使用ziegler方法，对PID控制器进行PID整定。(Using Ziegler method, the PID controller is tuned.)

说明：  平方根升余弦脉冲实例。两个SQRC滤波器的级联组合就成为一个零ISI的滤波器。此程序用于获得平方根升余弦脉冲。(Square root raised cosine pulse instance. Cascade combination of the two SQRC filters to filter a zero ISI. This procedure used to obtain the square root raised cosine pulse.)

关于粒子群优化的好文章，文章的PSO说话的很详细，希望能给新手一些帮助。(About Particle Swarm Optimization a good article, the article PSO speak in great detail, I hope to give beginners some help.)

计算序列的自相关函数,绘制信号xn的自功率谱幅频曲线,绘制信号yn的自功率谱幅频曲线,计算互谱函数(Calculating the autocorrelation function of the sequence, drawn from the power spectrum of the signal xn amplitude-frequency curve, drawn from the power spectrum of the amplitude-frequency curve signal yn calculated cross-spectral function)

Retinex和小波变换去除遥感图像云雾方法分析(Retinex and the wavelet transform method to remove cloud remote sensing image analysis)

代码实现了BPSK调制解调功能，包含成型滤波和硬判决模块。通过仿真出误码率曲线，并且画出理论曲线，验证了代码的正确性。(This code achieves the modulation and demodulation of BPSK.It includes the shaped filter and hard decision module.I plot the BER curve of BPSK and compared with the theoretical curve, I verify the correctness of the code.)

LLDA，局部线性判别分析，可以降到任意的维度，相比LDA更加优秀(LLDA, Local Linear Discriminant Analysis, can be reduced to any dimension, which is better than LDA.)

说明：  优化算法，寻找全局最优解，放入matlab预设目录直接可以使用(optimization algorithm)

介绍了数字通信中的QPSK调制解调的原理，通过用Matlab编写脚本程序对QPSK通信系统的发射和接收过程的具体实现进行模拟仿真，绘出信号在理想信道和加噪信道中模拟传输时的时域图，并对各模块进行了频谱分析，所得到的结果与 理论基本相符，对于理解QPSK系统的性能并在系统的实际应用上作进一步的设计，提供了有效的参考依据。 (The introduction was done with the principle of the QPSK modulation and demodulation in digital communications，a script was written by using Matlab program to CalTy out a simulation of the QPSK communication system．which contains the concrete realization of transmit and receive process．The time-domain diagram is drew separately when the signal transmits in the ideal channel and in the channel with noise，spectral analysis of each module is also done，the results obtained with theoretical results in the main，which provides an effective frame of reference for understanding the performance of QPSK systems，and the practical application in the system to make further designed．)