资源列表
GUI
- matlab实现第二代身份证的识别（神经网络）GUI界面。-matlab implementation of the second generation ID card identification (neural networks) GUI interface.
laplacian-pyramid
- Laplacian Pyramid: 用MATLAB实现并改进的图像拉普拉斯金字塔分解以及隐藏信息嵌入的源码。程序展示了Laplacian Pyramid Decomposition 在图像嵌入隐藏信息的重要作用。-Laplacian Pyramid: Based on MATLAB, original codes realize the improved Laplacian Pyramid Decomposition and the method to embed hidden informa
prim_suanfa
- 通信网中图论部分PRIM算法生成最小生成树的matlab程序-Communication network center theory of some PRIM algorithm to generate minimum spanning tree of the matlab program
LFMpipei
- 弱信号检测中，LFM信号经过匹配滤波器的应用-Weak signal detection of LFM signal in the application of matched filter
Adjust
- 对于非完全二分图的最优匹配问你，给出了一种调整赋权矩阵的方法来解决-For non-complete bipartite graph optimal matching ask you adjust the empowerment matrix gives a way to solve
TSP
- 遗传算法求解TSP问题。详细步骤给出。请看附件。-Genetic algorithm for TSP. Detailed steps are given.
Perfect-Match
- 实现一个二分图的完美匹配，找到最终的匹配结果-To achieve a perfect match bipartite graph, find the final matching results
GAfotTSP
- 改进的遗传算法求解tsp问题，在MATLAB环境中运行。-Improved genetic algorithm tsp problem in the MATLAB environment.
Compressive-Sensing
- Compressive Sensing： 从时域稀疏性和频域稀疏性两个不同角度实现基于MATLAB的压缩感知原理性能.对于Compressive Sensing 初学者有着极大的帮助。-Compressive Sensing： Based on MATLAB, codes realize CS theory from Time-Sparsing and Frequency-Sparsing field.It s really helpful for those who are fresh in
m_youxuandui
- 以r=6 1 103F为基础，抽取出其他m序列，在生成的m序列集中，寻找出m序列优选对，确定优选对数量，并画出它们自相关和互相关函数图形；-Based on the r = 6 1 103 f, extract other m sequence, concentrated in the generated m sequence, selection to find the m sequence, determine the optimum number of, and draw them aut
gold
- 依据所选取的m序列优选对生成所有Gold序列族，确定产生Gold序列族的数量，标出每个Gold序列族中的所有序列，并实例验证（选取3个就可）族内序列彼此的自相关和互相关特性；在每个Gold序列族内，明确标出平衡序列和非平衡序列，并验证其分布关系。 -Race all the sequences in the Gold series, and example (choose three) within the family of autocorrelation and cross-correl
kasami
- 扩频通信中kasami小集序列的生成，生成r=6的Kasami序列，分别列出各序列，给出自相关和互相关计算值-Kasami small set sequence in spread spectrum communication, generation r = 6 kasami sequences, each sequence were listed, give out relevant and cross-correlation calculation value