cs_code

这是一本支持向量机的书籍，这本书在支持向量机书籍的中文书籍中具有一定权威。(This is a support vector machine books, this book is a book in support vector machine has a certain authority of the Chinese-language books.)

说明：  本书对以Matlab为基础，从数字信号处理及图像处理的原理和算法入手，着重阐述用Matlab实现数字信号处理及图像处理的重要算法。(Book, Matlab-based, from digital signal processing and image processing theory and algorithms to start, focusing on the digital signal processing using Matlab and the importance of image processing algorithms.)

该文档包含了深度学习中的矢量化编程方式和程序示例(this document contain vectorization exercise of deep learning network)

分岔图程序，有关位移方面的，很实用，可下载参考。(The bifurcation diagram of procedure, the displacement of aspects, very practical, you can download the reference.)

利用此程序,可以计算出两离散序列的线性卷积和循环卷积。(calculating the linear_convolution and circular_convolution of two scattered data.)

编程实现了一种近场MVDR算法，包括对宽带信号的构造 以及宽带mvdr的实现(Programming a near-field MVDR algorithms, including broadband signal structure and implementation of broadband mvdr)

改进的非局部均值去噪，采用均值和方差选择相似的图像块。(Improved non-local means denoising, using the mean and variance of the to similar images.)

采用五点差分格式解决椭圆问题，这里是3个详例。(Using a five-point difference scheme to solve elliptic problems, here are three detailed examples.)

6LoWPAN入门教程_ArchRock 详细实现了6LoWPAN(6 lowpan introductory tutorial _ArchRock detailed implementation for 6 lowpan)

用Matlab仿真实现最小二乘法和总体最小二乘法估计 假设仿真的观测数据 产生，其中 为0均值， 单位方差的高斯白噪声，取n=1,2,....128。 试用TLS，取AR阶数为4，估计AR参数 和正弦波频率；再用SVD-TLS ，估计AR参数 和正弦波频率。 (1)、在仿真中，AR阶数取为4和6。 (2)、执行SVD-TCS时，AR未知。仿真运行至少二十次。 (Simulation using Matlab and the overall least squares least squares estimate assumptions simulated observation data are generated, where 0 mean, unit variance Gaussian white noise, take n = 1,2 ,.... 128. Try TLS, take AR order of 4, estimated AR parameters and the sine wave frequency then SVD-TLS, estimated AR parameters and the sine wave frequency. (1), in the simulation, AR order is taken as 4 and 6. (2), when the implementation of SVD-TCS, AR is unknown. Simulation run at least twenty times.)