老网站khkjgc源码

说明：  wincc tia manual guide

TS流同步模块，对于输入的TS流信号提取同步头。-TS Stream Synchronization Module

PPT for business office, simple style, suitable for many occasions

不错的android录音代码，适合初学者使用(Android recording code is good)

说明：  该书是一本较好的R语言编程书籍，从认识到实战，手把手教你如何使用R语言进行数据分析、挖掘、画图等等。(This book is a good R language programming book, from understanding to actual combat, teach you how to use R language data analysis, mining, drawing and so on.)

难得的DM9000的中文资料。详细的引脚描述以及内部及寄存器和功能描述。-Rare DM9000 of the Chinese data. A detailed description of the internal and pin registers and functional description.

锻炼我们的编码能力，真正理解数据结构的编码思想，并且锻炼我们的动手能力和成员之间的配合，提高程序编写能力(Exercise our coding skills, truly understand the coding ideas of the data structure, and exercise our hands-on ability and teamwork to improve the ability to write programs.)

1. 5 slaves talk to master with fixed data size Algorithm:CSMA/CA(Carrier sense multiple access with collision avoidance) - waiting period before sending(check if channel is idle) - collision happend random backoff

说明：  可以实现最近对问题 分治法的求解 程序已经验证(Recent divide-and-conquer method for problem solving is implemented, and code detection is no problem)

所附代码提供了上述三种反卷积策略的实现。要开始，用户应该检查文件demo.m。反褶积子程序在以下文件中实现:deconvL2频率.m:在频域反褶积，假设高斯导数在前面。2.deconvL2.m:利用共轭梯度算法，假设在空间域上存在高斯导数先验的反褶积。3.deconvSps.m:利用迭代重加权最小二乘算法，在空间域上假设一个稀疏导数先验的反褶积。(The enclosed code provides the implementation of the above three deconvolution strategies. To start, users should check the file demo.m. The deconvolution subroutine is implemented in the following files: deconvL2 frequency. M: deconvolution in frequency domain, assuming that the Gauss derivative is ahead. 2. DeconvL2. M: uses the conjugate gradient algorithm to assume the existence of Gauss derivative prior deconvolution in the spatial domain. 3.deconvSps. M: Using iterative weighted least squares algorithm, a sparse derivative prior deconvolution is assumed in the spatial domain. Users should note that all of the above functions assume that the convolution filter has an odd number of pixels on both dimensions.)