PID

说明：  通信信号的调制信息包含在信号的瞬时幅度、相位、频率的变化之中，不同的信号其频谱也呈现不同的特征，通过提取瞬时幅度、相位、频率以及频谱的参数统计特征，可以识别不同的通信信号。通常是利用对瞬时幅度、瞬时相位，瞬时频率和信号功率谱进行某种变换而得到可以明显区分各种信号的特征参数。(Communication signal modulation information is contained in the signal instantaneous amplitude, phase, frequency changes, the spectrum of different signals also show different characteristics, by extracting the instantaneous amplitude, phase, frequency and statistical characteristics of the parameters of the spectrum, you can identify different communication signals. Usually by the use of instantaneous amplitude, instantaneous phase, instantaneous frequency and signal power spectrum a transformation which can be clearly distinguished by the characteristic parameters of various signals.)

本件描述了单电感入网的解耦模型，通过仿真和实验验证了正确性(This part describes the decoupling model of single inductor network, through simulation and experiment verify the correctness )

小波分析理论与Matlab实现例程，包含了小波变换在各个领域的应用(Implementation of wavelet analysis theory and Matlab routines, including the wavelet transform applications in various fields)

提升小波变换的LWT97Matlab源代码，希望对大家有帮助！(Lifting Wavelet Transform)

说明：  利用matlab模糊工具箱建立了一个三输入两输出的模型用以识别车辆加速意图及行驶坡度。在命令行中输入fuzzy idi即可运行(using Matlab Toolbox Fuzzy established a three input output of the two models used to identify the vehicle accelerated Italy Figure moving slope. The command line input fuzzy idi can run)

信号检测与估计的教材的附录代码，仅供参考，加深对课程的理解(Signal detection and estimation of materials Appendix code, for reference, to deepen understanding of the curriculum)

通过自动阈值选择方法实现图像二值化。初始阈值T是图像均值；T把图像直方图分成R1和R2两个区域；计算R1和R2均值u1和u2，选择u1和u2均值作新的阈值；重复以上步骤直到T值基本不变。(Automatic Threshold Selection；)

matlab基础例程，用于simulink开发，例程很典型。(Basic matlab routines, used for simulink development, routines are very typical)

SIGMA DELTA MODULATOR

该程序实现了压缩感知理论中采用矩阵的优化。在压缩感知理论中，要求采样矩阵与稀疏矩阵的相关性越低越好。该代码采用一种交替投影的方法实现采用矩阵的优化，有效降低其相关性。(The program to achieve the optimization of the use of matrix theory compressed sensing. Requirements of the sample matrix and sparse matrix theory of compressed sensing, the lower the better. The code uses an alternating projection method to achieve the optimization of the use of matrix to effectively reduce the correlation.)