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Rer
- 个人硕士论文的关于数字接收机调制解调方面的matlab程序，强烈推荐给大家.-individual master's thesis on digital receiver modulation and demodulation of Matlab procedures, We strongly recommend to.
Statistics-ROC-0.04.tar
- A Perl module implementing receiver-operator-characteristic (ROC) curves with nonparametric confidence bounds
Rocforsvm
- 通过决策值可以绘制出ROC曲线的python程序-This tool which gives the ROC (Receiver Operating Characteristic) curve and AUC (Area Under Curve) by ranking the decision values.
shuzijieshouji
- 数字接收机技术实现，包含了很多这方面的文章，可以-Digital receiver technology, including a lot of this article, you can see
zero
- 瑞利衰落信道上行MIMO接收机的迫零算法-Rayleigh fading channel line algorithm for MIMO zero-forcing receiver
Intelligent-infinite-calculator
- 智能化无限计算器，有接收端和和发送端，可以实现两台计算机的通信。-Intelligent infinite calculator, and the sender and receiver, may realize the two computer communications.
SVM-Multiregression
- SVM Multiregression for Non Linear Channel Estimation in Multiple-Input Multiple-Output Systems 在多输入多输出系统中的SVM多元回归非线性逼近-This paper addresses the problem of Multiple-Input Multiple-Output (MIMO) frequency non-selective channel estimation. We d
OFDM
- Matlab code which implements MB-OFDM transmission block as per ECMA 368 standard. OFDM over frequency selective wireless channels simulation code for Peak-to-Average Power Ratio (PAPR) reduction in MIMO OFDM/A system using CMA This is an OFDM s
tingpei-V4.4
- 实现了对10个数字音的识别程序基于多相结构的信道化接收机，阐述了负荷预测的应用研究。- Realization of 10 digital audio recognition program Channelized receiver based on multi-phase structure, It describes the application of load forecasting.
ek616
- 基于多相结构的信道化接收机，合成孔径雷达（SAR)目标成像仿真，cordic算法的matlab仿真。- Channelized receiver based on multi-phase structure, Synthetic Aperture Radar (SAR) imaging simulation target, cordic matlab simulation algorithm.
yf678
- For beginners with a reference value, Channelized receiver based on multi-phase structure, Using matlab to calculate the Mahalanobis distance for the image.
Deep Learning Based Communication Over the Air
- 通信系统的端到端学习是a 引人入胜的新颖概念迄今为止仅被验证 模拟基于块的传输。它允许学习 发射机和接收机实现为深度神经网络 （NN），它们针对任意可区分的端到端进行了优化 performancemetric，例如块错误率（BLER）。在本文中，我们 证明无线传输是可能的：我们建造， 训练，并运行完整的通讯系统 的神经网络使用非同步的现成软件定义无线电 和开源深度学习软件库。(End-to-end learning of communications systems is a