搜索资源列表
Wireless-CS
- 简单的压缩感知用于无线传感器的例子，还有贝叶斯压缩感知-Simple compress perception used for wireless sensor examples, and the bayesian compression perception
667777777766
- 模式识别的作业源代码，包括了c均值算法（Cmeans）和自主值迭代算法（ISODATA），以及W-H固定增量算法和感知器（基于MFC实现）。-Operating source code for pattern recognition, including c-means algorithm (Cmeans) and self-value iteration algorithm (on ISODATA), and WH fixed incremental algorithm and the sen
BPNN
- 是BP神经网络程序：BP神经网络模型是一个多层感知机构，是由输入层、中间层（隐层）和输出层构成的前馈网络，只含有一个中间层的BP神经网络模型。-BP neural network program：BP neural network model is a multi-layer perceptron institutions, is the input layer, middle layer (hidden layer) and output layer feedforward network,
CS_OMP
- 压缩感知重构算法，使用OMP算法对于一维信号进行迭代重构。-CS_OMP reconstruction
perceptron
- 实现批量样本修正法感知准则函数的程序。MATLAB程序，课后作业-PERCEPTION ALGORITHM
6u3vw1.ZIP
- 基于压缩感知的新型声信号采集方法Based on compressive sensing acoustic signal acquisition method-Based on compressive sensing acoustic signal acquisition method
Main_functions
- 好东西 希望对大家有帮助 压缩感知的内容 工具箱-yasuoganzhi sparse signal good things yasuoganzhi sparse signal yasuoganzhi sparse signal
sparse-presentations
- 稀疏表示、压缩感知、压缩传感的新书--从原理到应用，2010年springer出版，对学习这一领域非常有帮助-sparse and redundant representations： from theory to applications
Compressive-Direction-Finding
- 基于幅值比较的压缩感知的基本知识，压缩感知，图像处理-Based on the comparison of the amplitude of the basic knowledge of compressed perception, compression perception, image processing
ann
- 神经网络导论ppt 包括神经网络基础，感知器BP网络，对传网，非确定方法，循环网络和自适应共振理论-Neural Network Introduction ppt Cycle network and adaptive resonance theory neural network Perceptron BP network, Counterpropagation Network, non-deterministic methods
CS_OMP
- 压缩感知OMP算法代码，应用在图像的压缩和恢复上。-Compressed sensing OMP algorithm code and application in image compression and restoration of
ganzhiqisuanfa
- 感知器算法,模式识别等应用，数学算法，没有了-math depand on ganzhiqi
CS-yuyin
- 自己搜集的关于语音方面的论文，CS，压缩感知，是最近的热门，打破了采样定律，结合CS的语音论文，这里给出，很全面。-His collection of papers about speech, CS, compressed sensing, is recently popular, breaking the law of sampling, combined with the voice of the CS papers, shown here, is very comprehensive.
ganzhiqi
- 感知器算法，可对任何两类问题线性分解,使用的是迭代算法，得到了较好的结果。-bp algrithm,which can sepret two classes with linear answer.
compressive-sensing
- 关于图像分块压缩感知，及测量矩阵加权的三篇文章-Three articles on the image block compressed sensing, and measurement matrix weighted
Perceptron
- 线性分类器之感知器算法，将两种类型的二维数据实现线性分类-The linear classifier perceptron algorithm, the two types of 2 d data realize linear classification
MFA_code_doc
- 基于流形学习的压缩感知，程序设计的基本流程框架-manifold of Compressive Sensing,
weighted-l1
- 这是加权L1的算法代码，用于压缩感知信号处理，很不错的-This is the weighted L1 algorithm code for compressed sensing, signal processing, it is good
ACT-R(1)
- 认知行为建模工具 ACT-R（Adaptive Control of Thought—Rational） 是象征的认知架构，它已经被广泛使用来模拟人类认知行为的不同方面。ACT-R 已经被使用来研究人类性能的不同的方面包括感知和注意力、学习和记忆、问题解决和做决定、语言处理、智能代理、智能辅导系统、人类－计算机交互。ACT-R 能够在很多不同的方面与 SOAR, DUAL, EPIC, Psi, Copycat 和包容架构相比较。-ACT-R the theory is embodied in
Compressed-Sensing
- 关于压缩感知领域研究相对较少，但是提供的这几个材料对这方面有很详细的论述，拿出来与大家共享-Compressed sensing research in the field is relatively small, but provided few materials discussed in detail in this regard, come up with to share with you