Laplacian-sharpening

KNN, K最邻近算法 交叉验证，选出KNN算法中较优的K值(KNN：K nearest neighbours cross validation, for the choice of the best K in KNN algorithm)

GMSK调制 实现了毕业设计要求的GMSK的基本功能 其中包括simulink建模(GMSK modulation to achieve the design requirements of the graduation of the basic functions of GMSK including simulink modeling)

Fuzzy logic example. You enter a temperature degree. Program specifies the membership of fuzzy sets

静止无功补偿器部分程序，基于模块化设计，实现无阻尼控制的SVC功能。(Static var compensator part of the program，Based on modular design, the SVC damping control function.)

信号与系统基础知识包括连续信号与模型、离散信号与模型；常用信号变换包括Z变换、Chirp Z变换、FFT变换、DCT变换和Hilbert变换等；离散系统结构包括IIR、FIR和Lattice结构；IIR滤波器设计包括模拟和数字低通、高通、带通与带阻滤波器设计，以及基于冲激响应不变法和双线性Z变换法的IlR滤波器设计等；FIR滤波器设计包括基于窗函数、频率抽样法和切比雪大逼近法的FIR滤波器设计；平稳信号分析包括经典功率谱估计、基于参数模型的功率谱估计和基于非参数模型的功率谱估计；非平稳信号分析包括STFT变换、Gabor展开、Wigner-Ville分布与Choi-Williams分布；非高斯信号分析包括基于非参数法的双谱估计、基于参数模型的双谱估计，以及双谱估计的应用；信号处理的GUI实现包括滤波器设计与分析的FDATool工具和滤波器设计与信号分析的SPTool工具。(signals and systems based on knowledge, including continuous signal with the model, discrete signal and model; Common signals include transform Z transform, chirp Z-transform, FFT transform. DCT and Hilbert transform; Discrete system architecture including IIR, FIR and Lattice structure; IIR filter design, including analog and digital low-pass, high-pass, band-pass and band stop filter design, Based on the impulse response of the same law and bilinear Z transform the IlR filter design; FIR filter design including on the basis of the window function, frequency sampling and snow all over the big approximation of FIR filter design; stationary signal analysis include classical power spectrum estimation, Based on the model parameters of the power spectrum estimation and non- parametric model b)

OPAMP English lLM386 integrated information. For peers who do not know English Reference

很经典的教材，可以看看，不过最好还是稍微有点基础，里面有些写得比较简单(chinese book for matlab primers)

proyecto de sistema de informacion

this is a matlab code for h.264 coding

说明：  通过实际采集到的数据，数显通过数据预处理，进行不良数据的清洗，然后通过PCA降维，k均值聚类提取运动学片段，建立运动学片段库，通过随机策略提取运动学片段构成汽车行驶工况。(Through the actual collected data, the digital display cleans the bad data through data pretreatment, and then extracts the kinematics fragments through PCA dimensionality reduction, K-means clustering, establishes the kinematics fragments library, and extracts the kinematics fragments through random strategy to form the driving conditions of the vehicle.)