LAB-6

阐述了各种边缘检测的性能和优劣，对初学者老说是很好的学习文件(The performance and the pros and cons of various edge detection, beginners old said good learning file)

LMS算法程序 代码等等 变步长LMS算法程序 代码等等 变步长(lms bianbuchang)

The Akaike information criterion (AIC) is a measure of the relative quality of a statistical model for a given set of data. That is, given a collection of models for the data, AIC estimates the quality of each model, relative to each of the other models. Hence, AIC provides a means for model selection.

超宽带发射机，采样跳时脉冲位置调制方式进行。对于UWB学习非常重要(Ultra-wideband transmitter pulse position modulation, sampling jump. Is very important for UWB learning)

garch族（garch,garchs,garchsk,gjr）模型的参数模拟，以及风险值 VaR 在不同水平下的估算。(garch group (garch, garchs, garchsk, gjr) parameters of the simulation model, and the estimated risk value VaR at different levels.)

说明：  3维拓扑优化计算算法，可用于初级拓扑优化学习和在此基础上进行拓展(3 d topology optimization algorithm can be used for primary topology optimization learning and expansion on this basis)

矩阵特征值计算包括使用matlab中原有的功能和开发后的功能。(Matrix eigenvalue calculation include the use of matlab functions and development of the Central Plains and some post-functions.)

说明：  通信系统仿真,QPSK调制与解调,主要针对差分解调方式,对于matlab初学者以及做通信仿真的人员有很好的参考价值(communications system simulation, QPSK modulation and demodulation, the main differential demodulator, for beginners and Matlab done Communication Simulation of a very good reference value)

图像空域锐化增强，用matlab分别实现Roberts、Sobel、Priwitt算子的锐化处理，以及实现拉普拉斯图像和原始图像叠加的增强处理(Image airspace sharpening, respectively, to achieve with matlab Roberts, Sobel, Priwitt operator sharpening, and achieve enhancement Laplace image and the original image overlay)

K-SVD可以看做K-means的一种泛化形式，K-means算法总每个信号量只能用一个原子来近似表示，而K-SVD中每个信号是用多个原子的线性组合来表示的。 K-SVD通过构建字典来对数据进行稀疏表示，经常用于图像压缩、编码、分类等应用。(K-SVD can be regarded as a generalized form of K-means. The total K-means algorithm can only approximate one signal for each semaphore, and each signal in K-SVD is a linear combination of multiple atoms To express. K-SVD through the construction of the dictionary to sparse data representation, often used for image compression, encoding, classification and other applications.)