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cs
- 本程序主要研究一种具有保相性的基于 压缩感知的距离压缩算法，程序1为无噪声信号CS重构目标距离像，程序2为含噪声信号CS重构目标距离像，程序3为探求CS分辨率，程序4为探求CS保相性。 -The main phase of an insurance-based compressed sensing range compression algorithm, program 1 is no noise the image signal CS reconstruction goals, the
FISTA
- 压缩感知恢复算法，加速算法的一种，近似算法-Recovery algorithm
emial-spam
- 基于感知器算法的垃圾邮件识别，先通过训练集训练出分类器，然后通过测试集验证-Perceptron based spam detection algorithm
Bayesian-Compressive-Sensing
- 基于贝叶斯的压缩感知，运用相关向量机 理论。-Based on bayesian compressed perception and use of relevance Vector Machine (Relevant Vector Machine, RVM) theory
Bayesian-compressed-sensing
- 杜克大学 shihao ji的贝叶斯压缩感知论文可以使用的仿真程序- The simulation program of Ji Shihao of Duke University
cs
- 关于压缩感知的matlab小程序，希望对大家有帮助-The code is about cs.I hope it can help you a lot.
matlab
- 题目:设计二分类数据集合，满足 1 线性可分 2 线性可分但是有离群点 3 线性不可分 将利用神经网络感知器来进行操作. -Title: design binary classification data collection, meet 1 linear separable Two linear separable but there are outliers Three linear inseparable Will use the perceptron neur
CS_OMP
- 压缩感知近几年很热门，上传一个压缩感知重构算法，供大家学习交流用。-Compressed sensing is very popular in recent years, uploading a compressed sensing reconstruction algorithm, for them to learn to communicate in.
张量分解工具箱最新版
- 最新版本的张量工具箱，可用于张量分解，特征值计算，数据挖掘，压缩感知，图像处理等
Wireless-Compressive-Sensing
- 在对能量收集传感网中的压缩感知技术的学习研究过程中，探讨了满足RIP下，所需的测量数m；允许MSE下，可实现的系统延迟；利用LDT，分析SNR不均匀性对k限制特征值的影响。-For energy harvesting sensor networks in the compressed sensing technology learning research, discusses meet the RIP, the required number of measurements m allow
Neural-Networks-Control
- 采用单一感知器神经元解决一个简单的分类问题:将二维平面上的四个输入矢量分为两类,其中两个矢量对应的目标值为1,另两个矢量对应的目标值为0-Single perceptron neuron solve a simple classification problem: the four input vectors are divided into two categories on the two-dimensional plane, wherein the two vectors correspo
perception
- 单层感知机的matlab代码，代码详细，对初学者了解感知机有很大的帮助-matlab code for perception. The code is detail,and very helpful to the freshman.
131848141
- 模式识别线性判别算法，包括感知器算法，最小方差准则分类算法和Widrow-Hoff算法-Pattern recognition linear discriminant algorithms, including perception algorithm, minimum variance criterion classification algorithm and Widrow-Hoff algorithm
random
- 压缩感知，观测矩阵采用随机观测矩阵，解码采用OMP算法，信号采用频域稀疏度为7的信号，可以直接运行。-Compressed sensing, observation matrix using random observation matrix decoding using OMP algorithm signal using frequency-domain signal sparsity 7, it can be run directly.
mainofksvd
- 以ksvd为基，实现压缩感知,有图像质量的评价-based on KSVD， to realize the compress sensinged with the uation of the image
CS_SAMP
- 基于压缩感知的SAMP重构代码，可以实现。入门程序。-Based on Compressive Sensing SAMP refactoring code, it can be achieved. Entry procedures.
SP
- 基于压缩感知，图像压缩重构算法，SP算法，matlab源码，psnr-Based on Compressed Sensing, image reconstruction algorithm compression, SP algorithm, matlab source, psnr
3333332
- 模式识别中的相关算法的matlab实现，其中包括感知机、最小二乘法以及支持向量机-pattern recognition
perceptron
- 感知机的c实现，感知机的三要素：模型、学习策略、学习算法，简单易懂，供交流学习。-Perceptron c realization, perceived three elements machine: model, learning strategy, learning algorithm, easy to understand, for the exchange of learning.
DeepLearning-master
- 深度学习的概念源于人工神经网络的研究。含多隐层的多层感知器就是一种深度学习结构。深度学习通过组合低层特征形成更加抽象的高层表示属性类别或特征，以发现数据的分布式特征表示。[1] 深度学习的概念由Hinton等人于2006年提出。基于深信度网(DBN)提出非监督贪心逐层训练算法，为解决深层结构相关的优化难题带来希望，随后提出多层自动编码器深层结构。此外Lecun等人提出的卷积神经网络是第一个真正多层结构学习算法，它利用空间相对关系减少参数数目以提高训练性能。[1] 深度学习是机器