Wi-Fi pollution, or an excessive number of access points in the area, especially on the same or neighboring channel, can prevent access and interfere with the use of other access points by others, caused by overlapping Channels in the 802.11g/b spectrum
Capabilities of the latest version of MultiSpec include the following.
Import data
Display multispectral images
Histogram
Reformat
Create new Channels
Cluster data
Define classes via designating rectangular
Determine the best spectral features
Classify a designated area in the data file
List classification results
The UMTS Physical Layer model consists of an end-to-end (transmitter-to-receiver) simulation of the Frequency Division Duplex (FDD) Downlink physical layer for several Dedicated Channels (DCH) as specified by the 3GPP standard (Release 99).
Source code of Radio Control Nikon Digital Camera Shutle. Using for Fly RC Aircraft with Nikon D40,D70,D80,D90 Models. It work with 1 free Channels of RX on board of fly model.
A MATLAB program has been written to investigate Orthogonal Frequency Division
Multiplexing (OFDM) communication systems. This program is valuable for future researchers
simulating systems that are too theoretically complex to analyze. Single-carrier QAM and multicarrier
OFDM are compared to demonstrate the strength of OFDM in multipath Channels. Two
graphical user interface demonstrations show some of the basic concepts of OFDM.
msp430The LDC1312 and LDC1314 are 2- and 4-channel,
1? Easy-to-use – minimal configuration required
12-bit inductance to digital converters (LDCs) for
? Measure up to 4 sensors with one IC
inductive sensing solutions. With multiple Channels ? Multiple Channels support environmental and and support for remote sensing, the LDC1312 and aging compensation LDC1314 enable the performance and reliability benefits of inductive sensing to be realized at minimal? Multi-channel remote sensing provides lowest cost and power. The products are easy to use, onlysystem cost requiring that the sensor frequency be within 1 kHz ? Pin-compatible medium and high-resolution and 10 MHz to begin sensing. The wide 1 kHz to 10 options MHz sensor frequency range also enables use of very small PCB coils, further reducing sensing– LDC1312/4: 2/4-ch 12-bit LDC solution cost and size.– LDC1612/4: 2/4-ch 28
Description
The L9352B is an integrated quad low-side power
switch to drive inductive loads like valves used in
ABS systems. Two of the four Channels are
current regulators with current range from 0 mA to
2.25 A.
All Channels are protected against fail functions.
They are monitored by a status output.
Abstract—In the future communication applications, users
may obtain their messages that have different importance levels
distributively from several available sources, such as distributed
storage or even devices belonging to other users. This
scenario is the best modeled by the multilevel diversity coding
systems (MDCS). To achieve perfect (information-theoretic)
secrecy against wiretap Channels, this paper investigates the
fundamental limits on the secure rate region of the asymmetric
MDCS (AMDCS), which include the symmetric case as a special
case. Threshold perfect secrecy is added to the AMDCS model.
The eavesdropper may have access to any one but not more than
one subset of the Channels but know nothing about the sources,
as long as the size of the subset is not above the security level.
The question of whether superposition (source separation) coding
is optimal for such an AMDCS with threshold perfect secrecy
is answered. A class of secure AMDCS (S-AMDCS) with an
arbitrary number of encoders is solved, and it is shown that linear
codes are optimal for this class of instances. However, in contrast
with the secure symmetric MDCS, superposition is shown to
be not optimal for S-AMDCS in general. In addition, necessary
conditions on the existence of a secrecy key are determined as a
design guideline.
This book presents, in a unitary and novel perspective, some of the research work
the authors have carried out over the last decade, along with several collaborators and
students. The roots of this book can be traced back to the design of adaptive sequence
detection algorithms for Channels with parametric uncertainty. The explosion of turbo
codes and iterative decoding around the middle of the Nineties has motivated the
design of iterative (turbo and graph-based) detection algorithms.
