Objectives
The purpose of this notebook is to give you a brief introduction to the
DiscreteWavelets Toolbox and show you how to use it to load
images. Some basic image manipulation is illustrated as well. You will
also learn how to use measures and tools such as cumulative energy,
entropy, PSNR, and Huffman coding.
Help on the DiscreteWavelets Toolbox
Help for the toolbox is available by clicking on Help and then Product
Help (or press F1) and then clicking on the DiscreteWavelets Toolbox.
Several demos and examples are available as well by clicking on the Demos
tab on the Help menu.
Image Basics
The DiscreteWavelets Toolbox comes with 18 grayscale images and 9 color
images for you to use. There are three functions available to tell you more about these images.
The first function is called |ImageList|. This function can tell you the
names and sizes of the digital images in the Toolbox.
This functions computes SARMA or multiplicative (p,q) x (P,Q) models for
(p,q,P,Q) in (pvec x qvec x Pvec x Qvec) it returns the best according to AIC
where AIC has been modified to account for fixed parameters
x = input data
pvec = vector of p s set pvec=[0] for no AR
qvec = vector of q s set qvec=0[] for no MA
Pvec = vector of P s
Qvec = vector of Q s
T period for multiplicative model
Short description: GUI Ant-Miner is a tool for extracting classification rules from data. It is an updated version of a data mining algorithm called Ant-Miner (Ant Colony-based Data Miner), which was proposed in 2002 by Parpinelli, Lopes and Freitas. GUI Ant-Miner differs from the original algorithm as follows: It has a friendly graphical user interface, makes possible the use of ant populations within the Ant Colony Optimization (ACO) concept, data input file is standardized with the well-known Weka system, and runs on virtually any operating system since it is written in Java.
This application note considers the design of frequency-
selective filters, which modify the frequency content
and phase of input signals according to some specification.
Two classes of frequency-selective digital filters
are considered: infinite impulse response (IIR) and finite
impulse response (FIR) filters. The design process
consists of determining the coefficients of the IIR or FIR
filters, which results in the desired magnitude and
phase response being closely approximated.
This application note considers the design of frequency-
selective filters, which modify the frequency content
and phase of input signals according to some specification.
Two classes of frequency-selective digital filters
are considered: infinite impulse response (IIR) and finite
impulse response (FIR) filters. The design process
consists of determining the coefficients of the IIR or FIR
filters, which results in the desired magnitude and
phase response being closely approximated.
KML 2.0介紹 KML全稱是Keyhole Markup Language KML，是一個基于XML語法和文件格式的文件，用來描述和保存地理信息如點、線、圖片、折線并在Google Earth客戶端之中顯示
The core of the project is the KMLCreator.cs. This has three classes, KMLCoordinates, KMLPoint and KMLLine
Because WDM networks are circuit switched loss networks blocking may occur because of lack of resources. Also in circuit switched networks many paths use the same links. This toolbox answers the question how different paths with different loads influence on each other and what is the blocking on each of the defined path. Toolbox is capable of computing blocking for three different WDM network types: with no wavelength conversion, with full wavelength conversion and with limited range wavelength conversion. It is worth noting that case for full conversion can be usefull for any circuit switched network without additional constraints (i.e. wavelength continuity constraint in WDM), for example telephone network.
Toolbox contains also scripts for defining network structures (random networks, user defined networks) and traffic matrixes. Three graph algorithms for shortest path computation are also in this toolbox (they are used for traffic matrix creation).
