This folder contains two simple functions (zerocross and energy) to compute STE and STZCR.
The script zcr_ste_so.m uses these two and other functions (included) to compute the STE and STZCR
of the word so .
See the respective function help for more details.
An important book that cover wavelet domain. It help a lot in understanding wavelets and their applications.
Beside explanations of the transform and application of this, there are also presents the reasons why wavelets are better than Fourier transform.
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 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.
This sample program generates two sine waves called X and Y.
It will then calculate the normalized magnitude and phase of
the two waveforms using the following formulas:
Mag = sqrt(X^2 + Y^2)/sqrt(GainX^2 + GainY^2)
Phase = (long) (atan2PU(X,Y) * 360)
The program will prompt the user to change the gain and
frequency of the X and Y waveforms.
The potential of solving real-time demanding industrial applications, using vision-based
algorithms, drastically grew due to an increasing availability of computational power.
In this thesis a novel real-time, vision-based Blackjack analysis system is presented. The
embedding of the vision algorithms in a compound system of other information sources such
as an electronic chip tray, reduces the vision task to detect cards and chips. Robust results
are achieved by not just analyzing single frames but an image stream regarding game-ß ow
informations. The requirements for such a system are a highly robust and adaptive behav-
ior. This is motivated by the vital interest of casino entrepreneurs in a 100 statistical
analysis of their offered gambling in order to support the business plan, measuring table
and dealer performance and give accurate player rating. Extensive experiments show the
robustness and applicability of the proposed system.
face detection
Face detection can be regarded as a more general case of face localization In face localization, the task is to find the locations and sizes of a known number of faces (usually one). In face detection, one does not have this additional information.
Early face-detection algorithms focused on the detection of frontal human faces, whereas newer algorithms attempt to solve the more general and difficult problem of multi-view face detection. That is, the detection of faces that are either rotated along the axis from the face to the observer (in-plane rotation), or rotated along the vertical or left-right axis (out-of-plane rotation),or both.
Pattern-MAC (PMAC) protocol, instead of having fixed sleepwakeups,
the sleep-wakeup schedules of the sensor nodes are
adaptively determined. The schedules are decided based on a
node’s own traffic and that of its neighbors.
Attempt to write voice dictionary: search and play wav files (could be obtained from stardict voice dictionary). Netbeans project and use of Java MIDP. Tested on Nokia 5310. Actual midlet source inside the project - HelloMidlet.java. Jar file to try voicedic.jar.
