搜索资源列表
reconstruction-algorithm
- 用于压缩感知信号重建的算法研究，介绍的很详细-For compressed sensing signal reconstruction algorithm, described in detail
CSBP_matlab
- Believe Propagation application的经典算法，用来重构压缩感知。-Bayesian Compressed sensing
Artificial-Neural-Networks2006
- 神经网络概述及基本模型，然后详述了各种模型，包括感知器神经模型、自组织竞争神经网络、径向基函数神经网络、反馈神经网络、支持向量机神经网络、遗传算法等内容。-Overview and basic neural network model, and then details the various models, including perceptron neural model, self-organizing competitive neural network, radial basis fu
CS_OMP
- 一个关于压缩感知的正交匹配追踪算法的Matlab程序，很好用的。-Compressvie sampling achieve in matlab by OMP algorithm.
Kuschner-BayesianNetwork-feature
- Kuschner论文，贝叶斯网络方法在质谱数据特征选择。其中关于机器学习中贝叶斯分类器部分有完整原理分析，可以用于认知无线电网络的频谱感知等新领域。含有matlab程序大于100页，子函数很多。-Kuschner paper, Bayesian network methods of feature selection in mass spectrometry data. One of the Bayes classifier machine learning part of a complete
ANN
- 人工神经网络算法，包括感知器算法和BP算法等-ANN BPalgorithm
percep01
- 一个感知器网络，绘制由W和B在输入平面中形成的最终分类线-A sensor network, drawn from the W and B in the input plane to form the final classification of line
percep3
- 创建一个感知器网络，看前面的网络训练结果图形-Create a sensor network, network training to see the results of the previous graph
compressed-sensing
- 3篇最近关于压缩感知文献，对于初学者有非常大的帮助。-Three most recent literature on compressed sensing, for beginners a very big help.
CompressiveSensing_OMP
- 关于压缩感知中算法重构做得仿真，供参考。-Compressed sensing reconstruction algorithm for the simulation done for reference.
matlab
- OMP算法的一维信号实现matlab 源码 基于压缩感知的-OMP algorithmn
68281214ISAR_Rotation
- BP算法的实现，压缩感知l1算法，谢谢了-BP algorithm, the compressed sensing algorithm l1, thank you
20501601isar_image
- 压缩感知的l0算法，时间比较短，精度比较高-L0 compressed sensing algorithm, a relatively short time, high accuracy
29352719ISAR_Translation
- 压缩感知的算法，时间比较短，精度比较高。-Compressed sensing algorithm, the time is short, accuracy is relatively high. Thank you
neural-network
- 神经网络相关ppt，主要包括BP算法和感知器优化算法相关介绍-Neural network-related ppt, including BP algorithm and optimization algorithm related presentations perceptron
D-S-evidence-theory
- D—S证据理论下的频谱感知，比较基础。适合初学者学习研究，并进行改进。-D-S evidence theory the spectrum of perception, regardless of the basis. For beginners learning research, and make improvements.
2009-localization
- 此Matlab程序为IEEE TRANSACTIONS ON SIGNAL PROCESSING信号源被动定位与跟踪领域经典文章“An Approximately Efficient TDOA Localization Algorithm in Closed-Form for Locating Multiple Disjoint Sources With Erroneous Sensor Positions”的实现程序，该算法实现在感知节点位置错误时利用TDOA信息对多个目标联合定位的目的！-T
Compressed-LEDSensing
- 关于压缩感知的一篇很有意思的文章，主要内容是压缩感知LED，介绍感知字典的mismatch.-On compressed sensing a very interesting article, the main contents of compressed sensing LED, introduced perceive dictionary mismatch.
CSSudoku
- 利用压缩感知理论求解Sudoku puzzles的一篇有意思的文章。-The use of compressed sensing theory to solve Sudoku puzzles in an interesting article.