搜索资源列表
cosamp2d
- 基于压缩感知(应用cosamp)处理二维信号-COSAMP compressed sensing using cosamp
mp2d
- 基于压缩感知(应用匹配追踪算法)处理二维信号-MP2D compressed sensing using mp
smp
- 用smp算法实现基于压缩感知的磁共振图像重构-Smp algorithm for image reconstruction based on compressed sensing
ed
- 实现协作频谱感知的瑞利衰落信道的and融合策略-Cooperative spectrum sensing in the Rayleigh fading channel and integration strategy
CS
- 压缩感知（Compressive Sensing(CS)，或称Compressed Sensing、Compressed Sampling）。该理论指出：对可压缩的信号可通过远低于Nyquist标准的方式进行采样数据，仍能够精确地恢复出原始信号。该理论一经提出，就在信息论、信号/图像处理、医疗成像、模式识别、地质勘探、光学/雷达成像、无线通信等领域受到高度关注，并被美国科技评论评为2007年度十大科技进展。-Compressed Sensing (Compressive Sensing (CS)
LDF_SuPrEM
- 对低密度校验矩阵的重建算法，LDPC应用在压缩感知中的一种算法-Low density parity check matrix of the reconstruction algorithm of LDPC applications in compression of the perception of an algorithm
cornell(JFR-2008)
- 康奈尔大学的自主车的基本构造和它强大的感知和规划能力-The basic structure of the Cornell University' s autonomous vehicle and its strong sense and planning capacity
wavelet-tree-algorithm
- 采用压缩感知的方法，结合信号的小波树模型，对一维信号进行压缩重构。-Using Compressed sensing methods, combined with wavelet tree model of the signal, achieve the goal of the one-dimensional signal compression and reconstruction.
perceptron
- matlab 实现 一个简单的神经元感知机，2个输入，1个输出-A simpled perceptron of neuron is realized by matlab,which consist of two inputs and one output
ganzhiqi
- 线性分类器感知器设计算法程序，其中利用了低度下降算法-Linear classifier perceptron design algorithm procedures, which use low-degree descent algorithm
xbcseeg02
- 自己编写的基于要所感知的脑电信号预处理，代码效率良好，而且程序架构简单易行。-I have written EEG signal preprocessing based on the perceived good code efficiency, and procedural framework is simple.
sense
- 模式识别中的感知器源码实现-Pattern recognition of sensor source to achieve, only a reference
FIG002
- Rosenblatt感知机Matlab实现算法线性分类器的第一个迭代算法是1956年由Frank Rosenblatt提出的. 这个算法被提出后, 受到了很大的关注. 感知器在神经网络发展的历史上占据着特殊的位置: 它是第一个从算法上完整描述的神经网络. 在20世纪60年代和70年代, 受感知器的启发, 工程师, 物理学家以及数学家们纷纷投身于神经网络不同方面的研究. -Rosenblatt perceptron Matlab algorithm linear classifier, an
Construct-for-Compressed-Sening
- 一系列压缩感知（CS）的重构算法。 图像恢复-A series of compression-aware (CS) reconstruction algorithm. Image restoration
SparseLab2.1-Core
- 关于压缩感知信号重构的matlab程序工具箱-Toolbox on compressed perception of the signal reconstruction matlab program
DeNoising
- 压缩感知重构算法去噪方法，以及一系列改进方法-Compression-aware reconstruction algorithm denoising method, as well as a series of improved methods
cs-channel-estimate
- 基于压缩感知的信道估计代码，有信道模型的建立和压缩感知信号的估计-Estimated based on compressed sensing channel code, the channel model
K-means-and-Perceptron
- 该程序为matlab程序，共有三个文件，dataC.m为程序入口，实现功能对50组数据用k均值算法进行分类，再对40组数据用感知器算法训练，然后用训练得到的判别函数对剩下10组数据分类，最后与原始分类做差比较，若分类无误，则全显示为0.-Matlab program on the program, a total of three files dataC.m for program entry features 50 sets of data with k-means algorithm to
CS-OMP-Distance
- 该算法用于脉冲雷达成像研究，采用压缩感知OMP重构算法得到场景的二维成像结果-The algorithm for pulse radar imaging, compressed sensing OMP reconstruction algorithm to get the scene of the two-dimensional imaging results
CS_SP-algorithm
- cs压缩感知里的 SP算法，包含说明文档和程序文档-The cs compression perception of the SP algorithm, including documentation and program documentation