Description: Software-defined radios (SDRs) have been around for more than a decade. The
first complete Global Positioning System (GPS) implementation was described
by Dennis Akos in 1997. Since then several research groups have presented their
contributions.We therefore find it timely to publish an up-to-date text on the subject
and at the same time include Galileo, the forthcoming European satellitebased
navigation system. Both GPS and Galileo belong to the category of Global
Navigation Satellite Systems (GNSS). Platform: |
Size: 1932288 |
Author:moatasem momtaz |
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Description: Software-defined radios (SDRs) have been around for more than a decade. The
first complete Global Positioning System (GPS) implementation was described
by Dennis Akos in 1997. Since then several research groups have presented their
contributions.We therefore find it timely to publish an up-to-date text on the subject
and at the same time include Galileo, the forthcoming European satellitebased
navigation system. Both GPS and Galileo belong to the category of Global
Navigation Satellite Systems (GNSS) Platform: |
Size: 1932288 |
Author:hamed |
Hits:
Description: TechniquesDistributed Spectrum Detection Algorithms for Cognitive Radio,
The IET Seminar on Cognitive Radio and Software Defined Radios: Technologies and Techniques Platform: |
Size: 478208 |
Author:moury |
Hits:
Description: A Scalable Dynamic Spectrum Allocation System
With Interference Mitigation For Teams Of Spectrally
Agile Software Defined Radios Platform: |
Size: 923648 |
Author:dba |
Hits:
Description:
[114.rar]
Spectrum analyzer with USRP, GNU Radio and MATLAB (2009-09-14, matlab, 327KB, 68次)
[USRP_Documentation.zip]
usrp的全面介绍，接口介绍，工作原理，以及如何对它进行编程 (2010-12-17, Python, 720KB, 62次)
[bbn_80211_trunk.zip]
USRP（通用软件无线电）上实现的802.11：bbn80211，经测试在gnuradio3.1.1上通过（可以正常收发）-Universal Software Radio Peripheral (USRP) is a range of software-defined radios designed and sold by Ettus Research and its parent company, National Instruments. Developed by a team led by Matt Ettus, the USRP product family is intended to be a comparatively inexpensive hardware platform for software radio, and is commonly used by research labs, universities, and hobbyists.[1] Platform: |
Size: 2076672 |
Author:massyao |
Hits:
Description: Understand the RF and Digital Signal Processing Principles Driving Software-defined Radios!
Software-defined radio (SDR) technology is a configurable, low cost, and power efficient solution for multimode and multistandard wireless designs. This book describes software-defined radio concepts and design principles the perspective of RF and digital signal processing as performed within this system. After an introductory overview of essential SDR concepts, this book examines signal modulation techniques, RF and digital system analysis and requirements, Nyquist and oversampled data conversion techniques, and multirate digital signal processing.-Understand the RF and Digital Signal Processing Principles Driving Software-defined Radios!
Software-defined radio (SDR) technology is a configurable, low cost, and power efficient solution for multimode and multistandard wireless designs. This book describes software-defined radio concepts and design principles the perspective of RF and digital signal processing as performed within this system. After an introductory overview of essential SDR concepts, this book examines signal modulation techniques, RF and digital system analysis and requirements, Nyquist and oversampled data conversion techniques, and multirate digital signal processing. Platform: |
Size: 5368832 |
Author:Alexandr |
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Description: 基于FPGA开发软件无线电，应用指导型文档资料。-Design and Implementation of High-Performance FPGA Signal Processing
Datapaths for Software Defined Radios Platform: |
Size: 348160 |
Author:kongmo |
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Description: 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
fascinating novel concept that has so far only been validated by
simulations for block-based transmissions. It allows learning of
transmitter and receiver implementations as deep neural networks
(NNs) that are optimized for an arbitrary differentiable end-to-end
performancemetric, block error rate (BLER). In this paper, we
demonstrate that over-the-air transmissions are possible:We build,
train, and run a complete communications system solely composed
of NNs using unsynchronized off-the-shelf software-defined radios
and open-source deep learning software libraries.) Platform: |
Size: 665600 |
Author:哈互惠哈 |
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Search - software defined radios