Make and answer phone calls
Detect tone and pulse digit from the phone line
Capture Caller ID
Support blind transfer, single-step transfer/conference, consultation transfer/conference, hold, unhold.
Control of the LOCAL phone handset, microphone and speaker of the modem
Send and receive faxes
Play and record on the phone line or sound card
Play music in background mode
Silence detection
VU Meter
Wave sound editor that allows your end-users to edit their own sound files.
Voice recognition and voice synthesis.
Full control over the serial port device
ZModem file transfer utility
File compression and encryption utility
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
圖像處理的關于Snakes : Active Contour Models算法和水平集以及GVF的幾篇文章，文章列表為：
[1]Snakes Active Contour Models.pdf
[2]Multiscale Active Contours.pdf
[3]Snakes, shapes, and gradient vector flow.pdf
[4]Motion of level sets by mean curvature I.pdf
[5]Spectral Stability of LOCAL Deformations Spectral Stability of LOCAL Deformations.pdf
[6]An active contour model for object tracking using the previous contour.pdf
[7]Volumetric Segmentation of Brain Images Using Parallel Genetic AlgorithmsI.pdf
[8]Segmentation in echocardiographic sequences using shape-based snake model.pdf
[9]Active Contours Without Edges.pdf
學習圖像處理的人必看的幾篇文章
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.
The problem of image registration subsumes a number of problems and techniques in multiframe
image analysis, including the computation of optic flow (general pixel-based motion), stereo
correspondence, structure from motion, and feature tracking. We present a new registration
algorithm based on spline representations of the displacement field which can be specialized to
solve all of the above mentioned problems. In particular, we show how to compute LOCAL flow,
global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of
the above problems. Using a spline-based description of the flow removes the need for overlapping
correlation windows, and produces an explicit measure of the correlation between adjacent flow
estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D
projective scene geometry. We also provide results on a number of standard motion sequences.
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
