This document provides practical, common guidelines for incorporating PCI Express interconnect
layouts onto Printed Circuit Boards (PCB) ranging from 4-layer desktop baseboard designs to 10-
layer or more server baseboard designs. Guidelines and constraints in this document are intended
for use on both baseboard and add-in card PCB designs. This includes interconnects between PCI
Express devices located on the same baseboard (chip-to-chip routing) and interconnects between
a PCI Express device located “down” on the baseboard and a device located “up” on an add-in
card attached through a connector.
This document is intended to cover all major components of the physical interconnect including
design guidelines for the PCB traces, vias and AC coupling capacitors, as well as add-in card
edge-finger and connector considerations. The intent of the guidelines and examples is to help
ensure that good high-speed signal design practices are used and that the timing/jitter and
loss/attenuation budgets can also be met from end-to-end across the PCI Express interconnect.
However, while general physical guidelines and suggestions are given, they may not necessarily
guarantee adequate performance of the interconnect for all layouts and implementations.
Therefore, designers should consider modeling and simulation of the interconnect in order to
ensure compliance to all applicable specifications.
The document is composed of two main sections. The first section provides an overview of
general topology and interconnect guidelines. The second section concentrates on physical layout
constraints where bulleted items at the beginning of a topic highlight important constraints, while
the narrative that follows offers additional insight.
This book is intended for embedded system programmers, consultants and students interested in real-time operating
systems. μC/OS-II is a high performance, deterministic real-time kernel and can be embedded in commercial products
(see Appendix F, Licensing). Instead of writing your own kernel, you should consider μC/OS-II. You will find, as I
did, that writing a kernel is not as easy as it first looks.
Linux in a Nutshell, 5th Edition
By Stephen Figgins, Robert Love, Arnold Robbins, Ellen Siever, Aaron Weber
... ... ... ... ... ... ... .....
Publisher: O Reilly
Pub Date: July 2005
ISBN: 0-596-00930-5
Pages: 944
Over the last few years, Linux has grown both as an operating system and a tool for personal and business use. Simultaneously becoming more user friendly and more powerful as a back-end system, Linux has achieved new plateaus: the newer filesystems have solidified, new commands and tools have appeared and become standard, and the desktop--including new desktop environments--have proved to be viable, stable, and readily accessible to even those who don t consider themselves computer gurus.
An unsatisfactory property of particle filters is that they
may become inefficient when the observation noise is low.
In this paper we consider a simple-to-implement particle filter,
called ‘LIS-based particle filter’, whose aim is to overcome
the above mentioned weakness. LIS-based particle
filters sample the particles in a two-stage process that uses
information of the most recent observation, too. Experiments
with the standard bearings-only tracking problem indicate
that the proposed new particle filter method is indeed
a viable alternative to other methods.
Rao-Blackwellised Particle Filters (RBPFs) are a class of Particle
Filters (PFs) that exploit conditional dependencies between
parts of the state to estimate. By doing so, RBPFs can
improve the estimation quality while also reducing the overall
computational load in comparison to original PFs. However,
the computational complexity is still too high for many
real-time applications. In this paper, we propose a modified
RBPF that requires a single Kalman Filter (KF) iteration per
input sample. Comparative experiments show that while good
convergence can still be obtained, computational efficiency is
always drastically increased, making this algorithm an option
to consider for real-time implementations.
Parking Lot Simulation：
Parking lot attendants often park cars bumper-to-bumper, several cars deep. This maximizes the number of cars they can fit into a parking lot at the expense of complicating the process of retrieving someone s car when they want to leave. consider the case of a person wanting to leave the parking lot but their car is parked in the back of a row of cars. In this case, all the cars parked in front of this person s car must be temporarily moved to allow this person to leave.
a screen handling program to provide a flashing message.
You will have to design a screen layout for where messages
are placed on the screen. You will also have to consider
when to delay the program in order to give the user time
to read the messages. That is, the program will use the
curses library, signals and the sleep function.
一款用JAVA制作開(kāi)發(fā)的小型聊天軟件，里面附有安裝程序和JAVA源代碼。
Visual Chat 1.91 Developer Edition
- Customize the Visual Chat code regarding your own requirements
- Use customchatdev.html for developing / testing
- Create .jar and .cab-files containing client-specific .class-files and the images-folder (use zip and cabarc compressing tools)
- Adapt the customchat.html file
- Upload all the files to your webserver
- Start the ChatServer by invoking java at.ac.uni_linz.tk.vchat.ChatServer [port [server-key]] from your commandline
- I kindly ask you to leave copyright and credit information in the InfoPanel.class as it is - but you are invited to add your own text. In case of violations I will consider excluding this class from the source in the future.
This package includes a 3-D game engine example application and a document describing the most important programming tricks and algorithm issues to consider when developing 3-D programs on Symbian OS.
MATLAB的SVM算法實(shí)現(xiàn)，Matlab Support Vector Machine Toolbox，This toolbox was designed as a teaching aid, which matlab is
particularly good for since source code is relatively legible and
simple to modify. However, it is still reasonably fast if used
with the supplied optimiser. However, if you really want to speed
things up you should consider compiling the matrix composition
routine for H into a mex function. Then again if you really want
to speed things up you probably shouldn t be using matlab
anyway... Get hold of a dedicated C program once you understand
the algorithm.
