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
DAGON Approach
Object of this exercise:
Given a subject graph and a set of pattern graph in canonical representation (2-input
NAND and INV), implement the second step of DAGON approach. (Both the subject
graph and the pattern graphs are trees.)
VDSP++打開(kāi)。This directory contains an example ADSP-BF537 RTC project that does a basic blink routine and
then puts the part in deep sleep mode to be woken up from a RTC Stopwatch Event. Once woken up,
the RTC is reconfigured to toggle the EZ KIT LEDs using RTC second, minute, hour, and day interrupts.
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 this article, we present an overview of methods for sequential simulation from posterior distributions.
These methods are of particular interest in Bayesian filtering for discrete time dynamic models
that are typically nonlinear and non-Gaussian. A general importance sampling framework is developed
that unifies many of the methods which have been proposed over the last few decades in several
different scientific disciplines. Novel extensions to the existing methods are also proposed.We showin
particular how to incorporate local linearisation methods similar to those which have previously been
employed in the deterministic filtering literature these lead to very effective importance distributions.
Furthermore we describe a method which uses Rao-Blackwellisation in order to take advantage of
the analytic structure present in some important classes of state-space models. In a final section we
develop algorithms for prediction, smoothing and evaluation of the likelihood in dynamic models.
This library provides a C++ interface to XML files. It uses libxml 2 to access the XML files, and in order to
configure libxml++ you must have both libxml and pkg-config installed.
radius協(xié)議源碼÷The Radius Stack will connect to a Radius Server. This stack
implementation is built upon the UdpStack which is available
in the radius{version}/util directory. A minimal set of VSAs (Vendor
Specific Attributes are supported by this stack). The Radius
Stack should be used as a base class. In order to implement
a larger set of VSAs, one will need to subclass from the
Radius Stack and implement the functionality within the
virtual function processVsa(). The Radius Stack supports
mostly accounting messages. The authentcation messages
will be supported in a future release.
A test program has been provided in the radius directory.
This program shows how to subclass from the RadiusStack
and how to use the api.
The TMS320C64x™ DSPs (including the TMS320DM642 device) are the highest-performance fixed-point
DSP generation in the TMS320C6000™ DSP platform. The TMS320DM642 (DM642) device is based on
the second-generation high-performance, advanced VelociTI™ very-long-instruction-word (VLIW)
architecture (VelociTI.2™ ) developed by Texas Instruments (TI), making these DSPs an excellent choice
for digital media applications. The C64x™ is a code-compatible member of the C6000™ DSP platform.
We have a group of N items (represented by integers from 1 to N), and we know that there is some total order defined for these items. You may assume that no two elements will be equal (for all a, b: a<b or b<a). However, it is expensive to compare two items. Your task is to make a number of comparisons, and then output the sorted order. The cost of determining if a < b is given by the bth integer of element a of costs (space delimited), which is the same as the ath integer of element b. Naturally, you will be judged on the total cost of the comparisons you make before outputting the sorted order. If your order is incorrect, you will receive a 0. Otherwise, your score will be opt/cost, where opt is the best cost anyone has achieved and cost is the total cost of the comparisons you make (so your score for a test case will be between 0 and 1). Your score for the problem will simply be the sum of your scores for the individual test cases.
This article describes a sniffer for Windows. WinSniff is an application for capturing packets on the network. It displays all the packets that are transmitted on the local network and gives detailed information about each header in the packet. In order to keep it simple, I am not dealing with application level protocols. If you are interested, you can add features to support various application level protocols such as SMTP, FTP, NETBIOS etc
