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.
Multi-carrier modulation? Orthogonal Frequency Division Multi-
plexing (OFDM) particularly? has been successfully applied to
a wide variety of digital communications applications over the past
several years. Although OFDM has been chosen as the physical layer
standard for a diversity of important systems? the theory? algorithms?
and implementation techniques remain subjects of current interest.
This is clear from the high volume of papers appearing in technical
journals and conferences.
The investigation of the propagation channel is becoming more and more important in mod-
ern wireless communication. The demand for spectral efficiency motivates exploitation of
all channels that can possibly be used for communications. Nowadays, a common trend for
designing physical layer algorithms is to adapt the transceiving strategy, either by maximizing
the diversity gains or by utilizing the coherence of the channels to improve the signal-to-noise
power ratio.
Wireless communications has become a field of enormous scientific and economic interest. Recent
success stories include 2G and 3G cellular voice and data services (e.g., GSM and UMTS), wireless
local area networks (WiFi/IEEE 802.11x), wireless broadband access (WiMAX/IEEE 802.16x), and
digital broadcast systems (DVB, DAB, DRM). On the physical layer side, traditional designs typically
assume that the radio channel remains constant for the duration of a data block. However, researchers
and system designers are increasingly shifting their attention to channels that may vary within a block.
In addition to time dispersion caused by multipath propagation, these rapidly time-varying channels
feature frequency dispersion resulting from the Doppler effect. They are, thus, often referred to as
being “doubly dispersive.”
stract
With global drivers such as better energy
consumption, energy efficiency and reduction of
greenhouse gases, CO 2 emission reduction has become
key in every layer of the value chain. Power Electronics
has definitely a role to play in these thrilling challenges.
From converters down to compound semiconductors,
innovation is leading to breakthrough technologies. Wide
BandGap, Power Module Packaging, growth of Electric
Vehicle market will game change the overall power
electronic industry and supply chain. In this presentation
we will review power electronics trends, from
technologies to markets.
Introduction to Radio Frequency Identification (RFID): RFID is a
wireless modulation and demodulation technique for automatic
identification of objects, tracking goods, smart logistics, and access con-
trol. RFID is a contactless, usually short‐distance transmission and
reception technique for unique ID data transfer from a tagged object to
an interrogator (reader). The generic configuration of an RFID system
comprises (i) an ID data‐carrying tag, (ii) a reader, (iii) a middleware,
and (iv) an enterprise application.
It was the publisher’s idea that I write
RFID in the Supply Chain: A Guide
to Selection and Implementation
. Not only am I editor of
Enterprise Inte-
gration System
,
Second Edition Handbook
and author of
The
Complete Book
of Middleware
, I also had some innovative business process and project
management ideas on improving the effectiveness of integrating enterprise
systems with information on product traceability, the scope of which has
been widened by the RFID technology mandates.
Recent work has shown that convolutional networks can
be substantially deeper, more accurate, and efficient to train
if they contain shorter connections between layers close to
the input and those close to the output. In this paper, we
embrace this observation and introduce the Dense Convo-
lutional Network (DenseNet), which connects each layer
to every other layer in a feed-forward fashion.
