搜索资源列表
t1
- 利用压缩感知理论MOMP法计算独立信源DOA估计(Computing DOA estimation of independent source using compressed sensing theory MOMP)
precrptron
- 这是自己参照统计学习书(李航著)中感知机算法编写的MATLAB仿真代码,代码包含数据输入和实现过程以及实现结果,可为学习感知机算法的相关人员提供参考。(This is according to his statistical learning book (Li Hang) MATLAB simulation code prepared by the perceptron algorithm, the code contains data input and process and the res
PSO寻优 论文采用
- 验证基于DPSO 算法的合作感知调度方案在各个LN 的网络特征不同 的异构CRNMLNS 中也能获得同样的性能(CRNMLNS, a cooperative sensing scheduling scheme based on discrete particle swarm optimization (DPSO) algorithm was proposed)
感知器算法
- 感知器算法是一种神经网络的模型,是20世纪50年代中期到60年代初人们对模拟人脑学习能力的一种分类学习机模型的称呼。当时的研究者认为它是一种学习的强有力模型,但以当时的技术无法实现非线性分类,许多实验室都放弃了感知器的研究。但其中的思想很经典,对后来的模式识别模型有很大的影响。当然,随着时代的进步,已经有很多学者提出了许多非线性的感知器改进算法,并取得良好效果,此程序主要基于Matlab来具体实现传统的感知器算法。(This program is based on Matlab to speci
KFCS_new
- 将卡尔曼滤波的方法与压缩感知联系在一起,实现对动态压缩感知信号的恢复。(combined the kalman filter and compressed sensing, to realize the recovery of dynamic signal.)
SAMP
- 压缩感知基础程序实现,测量矩阵为高斯矩阵(Implementation of a compression aware base program. The measurement matrix is Gauss matrix .)
20170713_104425252
- 感知哈希算法识图,快速找图,找图速度非常非常快。(Perceptual Hashing Algorithm)
CS_SWOMP
- 可用于恢复稀疏信号,图像处理/噪声处理/医学成像等应用中,是压缩感知重构算法中的分段弱正交匹配追踪算法(It can be used to recover sparse signals, image processing / noise processing / medical imaging, and so on. It is a piecewise weak orthogonal matching pursuit algorithm in compressed sensing reconst
usrp_spectrum_sense.py.tar
- 提供基本的基于能量检测的频谱感知功能,需要结合软件无线电外设USRP使用(Providing basic spectrum sensing capabilities based on energy detection requires the use of software radio peripheral USRP)
cascade TiedNets-master
- 压缩感知程序 压缩感知用来还原稀疏数据 找到数据原始结构,对图像还原有重要意义(Compressed sensing program, compressed sensing, to restore sparse data, to find the original structure of the data, is important for image restoration)
CS_new
- 利用压缩感知理论,进行关于系统延时量的辨识工作。(Identification of system delay based on compressed sensing theory)
CS
- 因为自然界的数据都存在局部低维结构、周期性、对称性等,因此,传统的固定采样率的采样方法必然存在信息冗余。由于信息冗余的存在,我们就知道有数据压缩那么一门学科。既然这样,为什么要把冗余的数据也采进来,再进行压缩呢,能不能不把冗余的数据采集进来? 压缩感知的思路就是:在采集的过程中就对数据进行了压缩,而且这种压缩能保证不失真(低失真)的恢复原始数据,这与传统的先2倍频率采集信号→存储→再压缩的方式不同,可以降低采集信号的存储空间和计算量。 本程序是对于压缩感知模型的数学描述(Mathematics
te2
- 为解决信号检测过程中噪声不确定性的影响,以接收信号协方差矩阵为基础,提取其特征值作为检测统计量进行频谱感知(In order to solve the influence of noise uncertainty in the signal detection process, based on the covariance matrix of the received signal, the characteristic value is extracted as the detection
混沌序列测量矩阵
- 关于混沌序列测量矩阵构造可以得到伪随机性很好的混沌序列测量矩阵,是实现压缩感知降维测量的方便工具(As for the construction of chaotic sequence measurement matrix, a chaotic sequence measurement matrix with good pseudo randomness can be obtained. It is a convenient tool for compressed sensing and dim
高光谱压缩感知
- 在压缩感知下提高高光谱图像的压缩率, 采用自适应的变换编码,具有明显的图像处理优势。(image processing The compression ratio of hyperspectral image is improved under compressed sensing, and the adaptive transform coding is used, which has obvious advantages of image processing.)
神经网络
- 基于MATLAB编写的神经网络单层感知器分类(Neural network single layer perceptron classification based on MATLAB)
MMA14
- 压缩感知的几种重构算法比较的源代码 有OMP CoSaMP SP等 现有算法包括的比较全(Compression of several reconstruction algorithms compared to the source code, there are OMP, CoSaMP, SP and other existing algorithms, including the comparison of the whole)
OMP.m
- 压缩感知重构算法omp算法的matlab实现源码(Compressed sensing reconstruction algorithm OMP algorithm matlab source code)
cosamp
- 压缩感知重构算法omp算法的matlab实现源码,(Compressed sensing reconstruction algorithm OMP algorithm matlab source code)
p_or
- 这个例子是感知器人工神经网络的异或门实现,这是多层感知器神经网络的一个典型例子。(This example is the XOR gate implementation of perceptron artificial neural network, that is a classic example of a multilayer perceptron neural network.)