Mobile phones are constantly decreasing in size, thereby complicating the acoustical
functionality. Signal processing methods can be used to partially mitigate
this problem. In this paper we suggest a method which uses multiple spectral
subtraction functions and two microphones, introducing only a short signal delay.
The ability to write efficient, high-speed arithmetic routines ultimately depends
upon your knowledge of the elements of arithmetic as they exist on a computer. That
conclusion and this book are the result of a long and frustrating search for
information on writing arithmetic routines for real-time embedded systems.
With instruction cycle times coming down and clock rates going up, it would
seem that speed is not a problem in writing fast routines. In addition, math
coprocessors are becoming more popular and less expensive than ever before and are
readily available. These factors make arithmetic easier and faster to use and
implement. However, for many of you the systems that you are working on do not
include the latest chips or the faster processors. Some of the most widely used
microcontrollers used today are not Digital Signal Processors (DSP), but simple
eight-bit controllers such as the Intel 8051 or 8048 microprocessors.
From the point of view of quality management, it is an important issue to reduce the transmission time in
the network. The quickest path problem is to 6ndthe path in the network to senda given amount of data from
the source to the sink such that the transmission time is minimized.
SharpZipLib之前叫做NZipLib，完全由 C# 開發的壓縮庫，支持Zip, GZip, Tar and BZip2 ，為2007年8月最新0852release版的源文件和文檔說明！
Changes for v0.85.2 release
Minor tweaks for CF, ZipEntryFactory and ZipFile.
Fix for zip testing and Zip64 local header patching.
FastZip revamped to handle file attributes on extract + other fixes
Null ref in path filter fixed.
Extra data handling fixes
Revamped build and conditional compilation handling
Many bug fixes for Zip64.
Minor improvements to C# samples.
ZIP-1341 Non ascii zip password handling fix.
ZIP-355 Fix for zip compression problem at low levels
SharpZipLib之前叫做NZipLib，完全由 C# 開發的壓縮庫，支持Zip, GZip, Tar and BZip2 ，為2007年8月最新0852release版的代碼實例！
Changes for v0.85.2 release
Minor tweaks for CF, ZipEntryFactory and ZipFile.
Fix for zip testing and Zip64 local header patching.
FastZip revamped to handle file attributes on extract + other fixes
Null ref in path filter fixed.
Extra data handling fixes
Revamped build and conditional compilation handling
Many bug fixes for Zip64.
Minor improvements to C# samples.
ZIP-1341 Non ascii zip password handling fix.
ZIP-355 Fix for zip compression problem at low levels
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.
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.
《為Windows Vista編寫安全的代碼》，2007年出版
Providing developers with first-hand insights into design decisions and practical advice for solving real-world security issues, this authoritative guide urges developers to write more secure code on the Vista platform to support a growing customer base.
Table of Contents
Writing Secure Code for Windows Vista
Foreword
Introduction
Chapter 1 - Code Quality
Chapter 2 - User Account Control, Tokens, and Integrity Levels
Chapter 3 - Buffer Overrun Defenses
Chapter 4 - Networking Defenses
Chapter 5 - Creating Secure and Resilient
Chapter 6 - Internet Explorer 7 Defenses
Chapter 7 - Cryptographic Enhancements
Chapter 8 - Authentication and Authorization
Chapter 9 - Miscellaneous Defenses and Security-Related Technologies
Index
List of Figures
List of Tables
List of Sidebars
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.
