Carrier-phase synchronization can be approached in a
general manner by estimating the multiplicative distortion (MD) to which
a baseband received signal in an RF or coherent optical transmission
system is subjected. This paper presents a unified modeling and
estimation of the MD in finite-alphabet digital communication systems. A
simple form of MD is the camer phase exp GO) which has to be estimated
and compensated for in a coherent receiver. A more general case with
fading must, however, allow for amplitude as well as phase variations of
the MD.
We assume a state-variable model for the MD and generally obtain a
nonlinear estimation problem with additional randomly-varying system
parameters such as received signal power, frequency offset, and Doppler
spread. An extended Kalman filter is then applied as a near-optimal
solution to the adaptive MD and channel parameter estimation problem.
Examples are given to show the use and some advantages of this scheme.
Aiming at the application of passive trackinn based on sensor array, a new passive trackinn usinn sensor array
based on particle filter was proposed. Firstly, the“fake points" could be almost entirely and exactly deleted with the aids of the
sensor array at the expense of an additional sensor. Secondly, considered the fact that the measurements notten from each array
were independent in passive trackinn system, a novel sequential particle filter usinn sensor array with improved distribution was proposed. At last, in a simulation study we compared this approach a壇orithm with traditional trackinn methods. The simulation re-sups show that the proposed method can nreatly improve the state estimation precision of sensor array passive trackinn system.
This document contains a worksheet for entering the installation information required by
AquaLogic Interaction 6.1, running on Windows. Print this document and use it to gather the host
computer, portal, database, and additional information that you need to install and configure all
of the various AquaLogic Interaction components.
Compact Flash Support For Nios II 5.0, To download supporting materials for this new Compact Flash support, download the following .zip file, extract to a computer with Quartus II 5.0 & Nios II 5.0 installed, and proceed to use the hardware and/or software examples of your choice to proceed. additional information is available in the readme.txt document, included in the top-level of the .zip file
μC/OS-II Goals
Probably the most important goal of μC/OS-II was to make it backward compatible with μC/OS (at least from an
application’s standpoint). A μC/OS port might need to be modified to work with μC/OS-II but at least, the application
code should require only minor changes (if any). Also, because μC/OS-II is based on the same core as μC/OS, it is just
as reliable. I added conditional compilation to allow you to further reduce the amount of RAM (i.e. data space) needed
by μC/OS-II. This is especially useful when you have resource limited products. I also added the feature described in
the previous section and cleaned up the code.
Where the book is concerned, I wanted to clarify some of the concepts described in the first edition and provide
additional explanations about how μC/OS-II works. I had numerous requests about doing a chapter on how to port
μC/OS and thus, such a chapter has been included in this book for μC/OS-II.
=== === === === === === === === === === ====
IBM PC KEYBOARD INFORMATION FOR SOFTWARE DEVELOPERS
================================================================
Sources:
PORTS.A of Ralf Brown s interrupt list collection
repairfaq.org keyboard FAQ(doesn t appear to exsist)
Linux source code
Test hardware:
New Samsung KB3T001SAXAA 104-key keyboard
Old Maxi 2186035-00-21 101-key keyboard
NO WARRANTY. NO GUARANTEE. I have tried to make this information
accurate. I don t know if I succeeded. Corrections or additional
information would be welcome.
This is a plain-text document. If you use a word-processor to view
it, use a fixed-pitch font (like Courier) so columnar data and
ASCII art lines up properly.
This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing : signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures).
Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names e.g. tp1.m, and launch the script directly from Matlab comand line > tp1 . Some of the scripts contains "holes" that you should try to fill on your own.
I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them.
To fully utilize the available spectrum for a wireless communication
system it is feasible to adapt to different situations
on the channel. In this paper a flexible OFDM
transmitter is presented together with basic theory behind
OFDM transmission. It is shown that high flexibility can
be obtained with a reasonable amount
Flexible baseband transmitter for OFDM
of additional hardware.
Part of the design, the FFT-processor, has already
been fabricated and measurement results are presented.
PlotSphereIntensity(azimuth, elevation)
PlotSphereIntensity(azimuth, elevation, intensity)
h = PlotSphereIntensity(...)
Plots the intensity (as color) of a number of points on a unit sphere.
Input:
azimuth (phi), in degrees
elevation (theta), in degrees
intensity (optional, if not provided, a green sphere is produced)
All inputs must be vectors or matrices of the same size. Data does not have to be evenly spaced. When there aren t enough points to draw a smooth sphere, additional points (with color) are interpolated.
Output:
h - a handle to the patch object
The axes are also plotted:
positive x axis is red
positive y axis is green
positive z axis is blue
A .zip file contains a series of scripts that were used in the MathWorks webinar "Using MATLAB to Develop Portfolio Optimization Models." The scripts generate 3D efficient frontiers for a universe of 44 stocks with time as the third axis. additional scripts perform various ex-ante and ex-post analyses. Results are generated with and without market adjustments in the data. A readme.txt. file in the .zip folder describes each script and how to use it
