Pattren-Recognition-toolbox

关于多目标线性规划，附有matlab代码(On the multi-objective linear programming, with matlab code)

使用matlab实现各种滤波功能，设计出高通滤波，低通滤波，带通带阻滤波等滤波器(Using matlab to achieve a variety of filtering, to design a high-pass filter, low-pass filtering, band-stop filter bandpass filter)

自己写的matlab程序 数值分析课程里的程序(Their own written procedures for numerical analysis matlab curriculum procedures)

LEACH (Low Energy Adaptive Clustering Hierarchy) is designed for sensor networks where an end-user wants to remotely monitor the environment. In such a situation, the data from the individual nodes must be sent to a central base station, often located far from the sensor network, through which the end-user can access the data.

关于图像的小波和小波包的阈值去噪的matlab语言的实现(About the image of wavelet and wavelet packet threshold denoising matlab language implementation )

西交大的MATLAB教程指导。简明扼要，重点突出，可作为自学教材。(West Jiaotong University MATLAB tutorial guide. Concise and focused, can be used as self-study materials.)

说明：  名师陈怀琛MATLAB及在电子信息课程中的应用的所有电子课件，含有书中举出的MATLAB讲解例子和课后习题例子，非常详细，非常精彩，对于学习数字信号处理和学习MATLAB帮助巨大(DSP_MATLAB_ChenHuaiChen)

Field of Digital Communications. Topic: Diversity Combining Matlab Program (m File) for exploiting Receiver Antenna Diversity: Performance Analysis of Selection Diversity with 3 Receiver Antennas

较为详细地介绍了单同步坐标系软件锁相环，采用了单一的同步坐标系锁相控制结构，一般适用于电网电压平衡时的相位，频率及幅值的检测，以及用于多种控制结构中（下垂控制，PQ控制，双闭环控制）。(A more detailed description of the principle of a single coordinate system PLL synchronization and setting PI controller parameters. SPLL with a single synchronous coordinate system lock control structure, generally applicable to the detection phase, frequency and amplitude of the grid voltage at equilibrium, as well as for a variety of control structures (droop control, PQ control, dual loop control).)

卷积神经网络是人工神经网络的一种，已成为当前语音分析和图像识别领域的研究热点。它的权值共享网络结构使之更类似于生物神经网络，降低了网络模型的复杂度，减少了权值的数量。自己可已加入数据，和修改梯度。(Convolutional neural network is an artificial neural network, it has become a research hotspot speech analysis and image recognition field. It weights shared network structure to make it more similar to biological neural networks, reduce the complexity of the network model, reducing the number of weights. Own data may have been added, and modify gradients.)