計算電磁學的３維矢量有限元程序
EMAP-3 is a vector (edge element) code. Vector codes are generally not affected by spurious modes and have other inherent advantages. The code is written in the C programming language and can be compiled and run on PCs, workstations, or mainframes.
MPC7400 Part Number SpeciÞcationThis document describes part number speciÞc changes to recommended operating conditions and revised electrical speciÞcations,as applicable, from those described in the generalMPC7400 Hardware SpeciÞcations.SpeciÞcations provided in this Part Number SpeciÞcation supersede those in theMPC7400 Hardware SpeciÞcationsdated 9/99(order #: MPC7400EC/D) for these part numbers only; speciÞcations not addressed herein are unchanged. This document isfrequently updated, refer to the website at http://www.mot.com/SPS/PowerPC/ for the latest version.Note that headings and table numbers in this data sheet are not consecutively numbered. They are intended to correspond to theheading or table affected in the general hardware speciÞcation.
This document describes part number speciÞc changes to recommended operating conditions and revised electrical speciÞcations,as applicable, from those described in the generalMPC7400 Hardware SpeciÞcations.SpeciÞcations provided in this Part Number SpeciÞcation supersede those in theMPC7400 Hardware SpeciÞcationsdated 9/99(order #: MPC7400EC/D) for these part numbers only; speciÞcations not addressed herein are unchanged. This document isfrequently updated, refer to the website at http://www.mot.com/SPS/PowerPC/ for the latest version.Note that headings and table numbers in this data sheet are not consecutively numbered. They are intended to correspond to theheading or table affected in the general hardware speciÞcation.Part numbers addressed in this document are listed in Table A. For more detailed ordering information see Table B.
Example of a digital data transmission implementing GMSK modulation
This Simulink model simulates as an example the transmission and reception of random digital data modulated with GMSK. The purpose of this model is to illustrate how part of the GSM transmission and reception works. It also measures the BER, affected by an AWGN channel
We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation,
phase-shift keying, and pulse amplitude modulation
communications systems.We study the performance of a standard
CFO estimate, which consists of first raising the received signal to
the Mth power, where M is an integer depending on the type and
size of the symbol constellation, and then applying the nonlinear
least squares (NLLS) estimation approach. At low signal-to noise
ratio (SNR), the NLLS method fails to provide an accurate CFO
estimate because of the presence of outliers. In this letter, we derive
an approximate closed-form expression for the outlier probability.
This enables us to predict the mean-square error (MSE) on CFO
estimation for all SNR values. For a given SNR, the new results
also give insight into the minimum number of samples required in
the CFO estimation procedure, in order to ensure that the MSE
on estimation is not significantly affected by the outliers.
In engineering, compensation is planning for side effects or other unintended issues in a design. The design of an invention can itself also be to compensate for some other existing issue or exception.
One example is in a voltage-controlled crystal oscillator (VCXO), which is normally affected not only by voltage, but to a lesser extent by temperature. A temperature-compensated version (a TCVCXO) is designed so that heat buildup within the enclosure of a transmitter or other such device will not alter the piezoelectric effect, thereby causing frequency drift.
Another example is motion compensation on digital cameras and video cameras, which keep a picture steady and not blurry.
In communication systems channel poses an important role. channels can convolve many different kind of distortions to our information. In perticular wireless channels multipath distortion is sevear.
and more sevear is such distortion is random.
To handle this, multipath affected channels require Equalizers at receaver end.
such equalizer uses different learning Algorithms for identifying channels continuously.
This project is VHDL implementation of LMS learning algorithm with pipelined architecture. so this implementation can work with higher data rates with less clock speed requirments and so with less power consumpiton
It uses Fixed point arithmatic blocks for filtering so suitable for coustom asic.
G
UILLAIN-BARRéSYNDROME(GBS)is an uncommon disorder,but one
whose impact is far out of proportion to its incidence.Despite a
usually good prognosis,GBS is a particularly frightening and often life-
altering experience for those diagnosed with the disorder.Many patients
are acutely aware of the rapid loss of control of their muscular function,
including vital functions such as breathing and swallowing,and fre-
quently feel that they are dying.The experience is almost as unnerving
for the families of affected individuals.During the acute phase of the ill-
ness GBS patients experience the indignity of helplessness in addition to
their fear of death or permanent disability.Prolonged disability is com-
mon and some permanent residual effects are becoming increasingly
recognized.It has been our experience in meeting patients at support
groups,that individuals who have been affected by GBS have a great
desire for a better understanding of the disorder,even years after the
acute experience.
This Simulink model simulates as an example the transmission and reception of random digital data modulated with GMSK. The purpose of this model is to illustrate how part of the GSM transmission and reception works. It also measures the BER, affected by an AWGN channel.
This is an analog signal communication simulator, usign frequency modulation. It is designed in MATLAB-Simulink. The communications channel beetween the transmitter and the reciever is supposed to be affected by additive white Gaussian noise.
