09年新书，很好的知无线电 网络中的频谱接入和管理，下面是IEEE的书评：
The book is divided into three parts.
Part one is a general introduction to wire-
less communication systems, reviewing
communication architectures and tech-
nologies, as well as resource allocation
protocols and dynamic spectrum access,
discussing features, research challenges,
and standardization. Part two is a further
discussion on wireless system design with
a focus on analysis of dynamic spectrum
access systems. A brief introduction to
signal processing and optimization tech-
niques is presented, as well as basics of
game theory and intelligent algorithms
(e.g., machine learning, genetic algo-
rithms, and fuzzy logic). Finally, part
three discusses in detail dynamic spec-
trum access and management. Models
and architectures of dynamic spectrum
access are introduced and described in
detail. The authors first present the cen-
tralized dynamic spectrum access model,
and later focus on the distributed
approach. Distributed dynamic spectrum
access is discussed from the algorithmic
and protocol perspectives in separate
chapters. Finally, a spectrum trading
model is presented with its applications to
wireless communications.
This book is a valuable source of
information for people new to the con-
cept of dynamic spectrum access. Also,
scientists and engineers already involved
in dynamic spectrum access research will
find this book a good reference source.
This is one of the few books on the mar-
ket related to dynamic spectrum access
and cognitive radio written completely
by the authors themselves. Therefore, it
is very cohesive, has a very good flow,
and does not repeat itself while intro-
ducing new concepts, as do many edited
books on a similar topic available on the
market. Many concepts of dynamic spec-
trum access are well systematized in the
book, and the literature review is very
broad and complete. One small draw-
back is a bit too lengthy introduction to
wireless communication systems in part
two of the book (which can e
2021-06-23 09:51:16
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模拟在线考试系统，在request.jsp页面输出单选题和多选题，题目答完后点击“考试完成”，页面跳转到requestHandle.jsp，该页面对提交的数据进行处理，并将考试结果的数据输出到页面中。
1.request.jsp代码如下：
<%@ page language=java import=java.util.* pageEncoding=utf-8%>
<!DOCTYPE HTML PUBLIC -//W3C//DTD HTML 4.01 Transitional//EN>
<html>
<head>
<title>考试系统</title>
<meta h
2021-06-22 13:25:29
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SDRTouch是第一个基于Android软件接收机。运行SDRTouch你需要一个现代Android 4.0 +设备，像样的处理能力和支持USB OTG。您还将需要一个USB OTG电缆连接Android设备和接收机。SDRTouch有几个标准特性，如FFT频谱和瀑布显示、WFM / FM / AM /单边带调谐和频率管理器。
2021-06-19 20:02:50
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Software_Defined_Radio_using_MATLAB_Simulink_and_the_RTL-SDR配套工程文件（1.5GB）
2021-06-14 23:56:14
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SDR-Radio.com is a Windows solution for Software Defined Radio (SDR) receivers and transceivers. Designed for the commercial, government, amateur radio and short-wave listener communities, this software provides a powerful interface for all SDR users.
2021-06-14 12:47:05
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Amateur Radio World Map And DXCC Country list，这是专门为广大业余 无线电爱好 者准备的一份高清世界地图，拥有它，在DXCC时会有更高的效率，取得更好的成绩
2021-06-13 12:17:24
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适用于 S60 第 3 版、第 5 版和 Symbian^3 设备的网络广播播放器。 最初由诺基亚开发，后来作为开源项目发布。
2021-06-08 13:04:23
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通过深度强化学习优化放射治疗的时间表
model文件夹包含模拟的Python实现的代码。
model_cpp文件夹包含模拟的C ++实现的代码。
nnets文件夹包含使用不同算法和奖励功能训练的神经网络，如手稿中所述。
training_logs文件夹包含zip归档中的手稿中描述的四个代理的培训日志文件。
eval文件夹包含不同代理的性能评估。
tmp文件夹包含在评估代理程序期间创建的映像。
misc文件夹包含无法在上述文件夹中分类的文件。
main.py用于训练代理。
use_network.py使用手稿中描述的性能指标评估神经网络。
2021-06-06 09:37:03
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tdoa-evaluation-rtlsdr：用于评估基于RTL-SDR的TDOA系统的Matlab脚本
2021-05-25 16:10:42
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