Universal Serial Bus (USB) is a communications architecture that gives a personal
computer (PC) the ability to interconnect a variety of devices using a simple four-
wire cable. The USB is actually a two-wire serial communication link that runs at
either 1.5 or 12 megabits per second (mbs). USB protocols can configure devices
at startup or when they are plugged in at run time. These devices are broken into
various device classes. Each device class defines the common behavior and
protocols for devices that serve similar functions. Some EXAMples of USB device
classes are shown in the following table
Welcome to the software files for the ADS8361 to TMS320F2812!
There are two project files in each of the folders McBSP, SPI and Both. Mode II and IV are explored using the McBSP port alone, as well as the SPI port. These projects are located in the SPI and McBSP folders.
Modes I and III are explored using both McBSP and SPI. In Mode I, the M0 and M1 pins are controlled by use of the jumper on the evaluation module. A0 is controlled by the DX pin of the McBSP port. In Mode III, the A0, M0 and M1 pins are controlled via GPIO functions of PortF.
The "SRC", "CMD" and "INCLUDE" files in the archive are from "C28x Peripheral EXAMples in C" (document # SPRC097). If you have questions about this or other Data Converter products, feel free to e-mail us at:
New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as EXAMples one can use as templates for their own problems.
Use this tool by editing the file optimtips.m, then execute blocks of code in cell mode from the editor, or best, publish the file to HTML. Copy and paste also works of course.
Some readers may find this tool valuable if only for the function pleas - a partitioned least squares solver based on lsqnonlin.
This is a work in progress, as I fully expect to add new topics as I think of them or as suggestions are made. Suggestions for topics I ve missed are welcome, as are corrections of my probable numerous errors. The topics currently covered are listed below
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.
