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深度學(xué)習(xí)，神經(jīng)網(wǎng)絡(luò)，卷積神經(jīng)網(wǎng)絡(luò)
Analysis of Deep Learning Models using CNN techniques
標(biāo)簽：
卷積
神經(jīng)網(wǎng)絡(luò)
模型分析
上傳時(shí)間：
2020-01-02
上傳用戶：wzy2020
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New applications such as video conferencing, video on demand, multi-
media transcoders, Voice-over-IP (VoIP), intrusion detection, distributed
collaboration, and intranet security require advanced functionality from
networks beyond simple forwarding congestion control techniques.
標(biāo)簽：
Programmable
Networks
Active
and
上傳時(shí)間：
2020-05-26
上傳用戶：shancjb
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Relaying techniques, in which a source node communicates to a destination node
with the help of a relay, have been proposed as a cost-effective solution to address
the increasing demand for high data rates and reliable services over the air. As
such, it is crucial to design relay systems that are able to not only provide high
spectral efficiency, but also fully exploit the diversity of the relay channel.
標(biāo)簽：
Amplify-and-Forward
Relaying
上傳時(shí)間：
2020-05-26
上傳用戶：shancjb
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Evolutionary Computation (EC) deals with problem solving, optimization, and
machine learning techniques inspired by principles of natural evolution and ge-
netics. Just from this basic definition, it is clear that one of the main features of
the research community involved in the study of its theory and in its applications
is multidisciplinarity. For this reason, EC has been able to draw the attention of
an ever-increasing number of researchers and practitioners in several fields.
標(biāo)簽：
Applications
Evolutionary
Computing
of
上傳時(shí)間：
2020-05-26
上傳用戶：shancjb
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The very title of this book is borrowed from the information theory vocabulary,
and, quite naturally, it is an outline of this theory that will serve as an introduction.
The subject of information theory is the scientific study of communications. To this
end it defines a quantitative measurement of the communicated content, i.e. informa-
tion, and deals with two operations essential for communication techniques: source
coding and channel encoding.
標(biāo)簽：
Communication
Networks
Channel
Coding
in
上傳時(shí)間：
2020-05-26
上傳用戶：shancjb
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This introduction takes a visionary look at ideal cognitive radios (CRs) that inte-
grate advanced software-defined radios (SDR) with CR techniques to arrive at
radios that learn to help their user using computer vision, high-performance
speech understanding, global positioning system (GPS) navigation, sophisticated
adaptive networking, adaptive physical layer radio waveforms, and a wide range
of machine learning processes.
標(biāo)簽：
Technology
Cognitive
Radio
上傳時(shí)間：
2020-05-26
上傳用戶：shancjb
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Optical communication technology has been extensively developed over the
last 50 years, since the proposed idea by Kao and Hockham [1]. However, only
during the last 15 years have the concepts of communication foundation, that
is, the modulation and demodulation techniques, been applied. This is pos-
sible due to processing signals using real and imaginary components in the
baseband in the digital domain. The baseband signals can be recovered from
the optical passband region using polarization and phase diversity tech-
niques, as well as technology that was developed in the mid-1980s.
標(biāo)簽：
Transmission
Processing
Digital
Optical
上傳時(shí)間：
2020-05-27
上傳用戶：shancjb
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During the past decade, many wireless communication techniques have been
developedto achievevariousgoals suchas higherdata rate,morerobustlink quality,
and higher number of users in a given bandwidth. For wireless communication
systems, depending on the availability of a feedback link, two approaches can be
considered: namely open and closed loop. Open loop communication system that
does not exploit the channel knowledge at the transmitter is now well understood
from both a theoretical and practical point of view.
標(biāo)簽：
Communication
Strategies
Feedback
Wireless
for
上傳時(shí)間：
2020-05-27
上傳用戶：shancjb
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The recent developments in full duplex (FD) commu-
nication promise doubling the capacity of cellular networks using
self interference cancellation (SIC) techniques. FD small cells
with device-to-device (D2D) communication links could achieve
the expected capacity of the future cellular networks (5G). In
this work, we consider joint scheduling and dynamic power
algorithm (DPA) for a single cell FD small cell network with
D2D links (D2DLs). We formulate the optimal user selection and
power control as a non-linear programming (NLP) optimization
problem to get the optimal user scheduling and transmission
power in a given TTI. Our numerical results show that using
DPA gives better overall throughput performance than full power
transmission algorithm (FPA). Also, simultaneous transmissions
(combination of uplink (UL), downlink (DL), and D2D occur
80% of the time thereby increasing the spectral efficiency and
network capacity
標(biāo)簽：
Full-Duplex
Cells
Small
上傳時(shí)間：
2020-05-27
上傳用戶：shancjb
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The writing of this book was prompted by two main developments in wireless
communications in the past decade. First is the huge surge of research activities in
physical-layer wireless communication theory. While this has been a subject of study
since the 60’s, recent developments in the field, such as opportunistic and multi-input
multi-output (MIMO) communication techniques, have brought completely new per-
spectives on how to communicate over wireless channels.
標(biāo)簽：
Communication
Fundamentals
Wireless
of
上傳時(shí)間：
2020-05-27
上傳用戶：shancjb
