TreeMenu Component
==================
The TreeMenu is a descendant of TTreeView.
It is a "stealth-realese" because the TreeMenu is created only run time
and it changes a design time defined simple TreeView to self.
Using it is very simple. Please see the demo files.
Author:
=======
Pal Sitkei
sitkei@chello.hu
pHash is an implementation of various perceptual hashing algorithms. A perceptual hash is a fingerprint of an audio, video, or image file that is mathematically based on the audio or visual content contained within. Unlike cryptographic hash functions that rely on the avalanche effect of small changes in input leading to drastic changes in the output, perceptual hashes are "close" to one another if the inputs are visually or auditorily similar. As a result, perceptual hashes must also be robust enough to take into account transformations that could have been performed on the input.
Java has become a confusing world. Five years ago, there were few decisions to make once
you started programming in Java—you used AWT for graphical user interfaces, sockets for
network programming, and hacked together everything else you needed. Since then, though,
the APIs available for the Java language have grown, and grown. . . and grown. Now you can
dabble in Swing, servlets, Enterprise JavaBeans (EJB), JavaMail, and more. Additionally,
there are now packages of APIs, like the Java 2 Micro Edition (J2ME) and Java 2 Enterprise
Edition (J2EE). While these packages seem to be nicely wrapped bundles of useful APIs, they
don t help the average developer figure out how to piece together the APIs contained in these
packages. Though it s simple to find documentation on the individual APIs, getting the "big
picture" is difficult, at best. One of the most interesting, but difficult, aspects of Java today is
building Java enterprise applications using the J2EE package.
This guide is an attempt to compile a lot of that information in here and dummy it down. Perhaps it s a fairly common show, perhaps not. It might have even been a show that you taped. Whatever the case, you want to share it with others bur aren t quite sure how. This guide should be your answer.
This guide is geared towards posting a show at SharingTheGroove.org. The instructions contained within are for that site. Other sites hosting BT shows may have slightly different procedures for getting the torrent to them. However, torrent creation will be the same. While this guide is being written with audio concerts in mind, the same holds true for the video section of The Groove.
pdf格式的英文文獻，是關于認知無線電網絡的，編者是加拿大桂爾夫大學的Qusay H. Mahmoud。ISBN：978-0-470-06196-1
章節內容：
1 Biologically Inspired Networking
2 The Role of Autonomic Networking in Cognitive Networks
3 Adaptive Networks
4 Self-Managing Networks
5 Machine Learning for Cognitive Networks: Technology Assessment
and Research Challenges
6 Cross-Layer Design and Optimization in Wireless Networks
等，共計13章，全書348頁，pdf文件383頁。
wxPython In Action，By combining introductions, overviews, and how-to examples, the In Action
books are designed to help learning and remembering. According to research in
cognitive science, the things people remember are things they discover during
self-motivated exploration.
A fractal is generally "a rough or fragmented geometric shape that can be split into parts, each of which is (at least approximately) a reduced-size copy of the whole,"[1] a property called self-similarity. The term was coined by Benoî t Mandelbrot in 1975 and was derived from the Latin fractus meaning "broken" or "fractured." A mathematical fractal is based on an equation that undergoes iteration, a form of feedback based on recursion.[2]
The radially averaged power spectrum (RAPS) is the direction-independent mean spectrum, i.e. the average of all possible directional power spectra. This function computes and plots the RAPS of an input image. The function was written to produce the RAPS for square weather radar reflectivity images so you will have to relabel the plot axes and title to suit your needs. The radially averaged power spectrum provides a convenient means to view and compare information contained in 2D spectra in 1D
The PCI Special Interest Group disclaims all warranties and liability for the use of this document
and the information contained herein and assumes no responsibility for any errors that may appear
in this document, nor does the PCI Special Interest Group make a commitment to update the
information contained herein.
While every precaution has been taken in the preparation of this book, the publisher assumes no
responsibility for errors or omissions, or for damages resulting from the use of the information
contained herein.
