The INDUSTRY APPLICATIONS menu demonstrate specific examples of how some industries can benefit from PV-WAVE.

The modules in this application show how PV-WAVE can be applied to financial analysis.

Figure B-4: Stock Price Analysis Demonstration on page 220 illustrates this demonstration.

Time Series Forecasting includes the following:

This demo uses the Auto ARIMA functionality for time series model fitting and forecasting, comparing AR, ARMA, and ARIMA models with both nonseasonal and seasonal differencing. It allows the user to specify p, d and q values as inputs to the model, allows for outlier identification, and displays the numerical and graphical results of the fit and forecast.

This module illustrates how to forecast time series using a feed-forward neural network trained on historical data. Three data sets are used for demonstration purposes: champagne sales per month, sun spot frequency per year, and the price of crude oil. The forecast is compared to observed values and also an ARMA(2,1) model.

This module displays multi-variate engine test data consisting of over 20,000 floating point values. This module shows an interface where various relationships between selected variables can be displayed using strip charts and raster images.

The concepts demonstrated include:

Medical imaging includes the following:

A 3D MRI (Magnetic Resonance Imaging) scan of a human head is rendered as a cut-away volume and a series of volume rendered images displayed from different viewpoints. You may interactively define a slicing plane and extract an oblique slice from the volumetric data.

The concepts demonstrated include:

This Gallery application module first displays images of a normal brain and a concussion damaged brain. The data for these images was generated using a medical technique called PET (Positron Emission Topography). The scientists compare the rate of glucose absorption in healthy tissue, compared to the sample.

Next, an animation sequence of an abnormal heartbeat is displayed as a series of images and contours. This data was collected using an ultrasound device which scanned a horse’s heart.

This demonstration shows how PV-WAVE can be used to analyze well log information. You may display:

Several plots of global wind velocity data are shown in this demonstration.

The concepts include:

PV-WAVE’s abilities for displaying and analyzing computational fluid dynamic (CFD) data are shown in this demonstration.

The concepts include:

This application demonstrates some of the ways PV-WAVE can be used to manipulate and display signal data. X-Y plots can be combined with filters built into PV-WAVE or developed using the PV-WAVE language. The data is a sample signal of a voice saying “PV-WAVE”. In the plotted waveform you can see the “P”, the “V” and “WAVE” as three distinct bursts.

The raster image of the spectrogram displays the frequencies present in the original voice signal.

The concepts demonstrated include:

This demonstration shows how PV-WAVE can be used to perform many common image processing filtering and analysis functions. Interactive tools for plotting profiles, zooming in on particular regions, plotting histograms, and manipulating color palettes are available. Many common spatial and frequency domain filters are available as well as geometric transformations and image comparisons.