PV-WAVE Technical Specifications


PV-WAVE is an array-oriented fourth-generation programming language (4GL) used by engineers, scientists, researchers, business analysts and software developers to build and deploy Visual Data Analysis (VDA) applications. These applications let users manipulate and visualize complex or extremely large technical datasets to detect and display patterns, trends, anomalies and other vital information.

PV-WAVE's greatest strength is its ability to turn ideas and data into meaningful graphical representations and reveal valuable insights you might otherwise overlook.

PV-WAVE is an easy-to-use application framework that allows you to quickly import and manipulate your data and interpret it visually. At its core, PV-WAVE is a powerful array-based programming language with a rich set of analysis routines based on the renowned IMSL Libraries. By reducing your time to first results, accelerating your development and illustrating key knowledge contained in your data, PV-WAVE gives your business a competitive advantage.


PV-WAVE Features

  Array-Based Language

  • Loosely-typed and extensible 4GL with an interactive command line interface to an event-driven interpreter
  • Commands can be interactively interpreted or compiled into programs
  • Sessions can be saved and restored
  • Support for functions, subroutines, global and local variables
  • Complete set of data types for constants and variables (byte, integer, long integer, floating point, complex, double precision, double precision complex, string, date/time) in a variety of structures (scalar, array, table, structure, list, associative array)
  • Arrays of up to 8 dimensions
  • Operators work on both scalars and arrays
  • Looping and branching constructs
  • Arrays can be subscripted conventionally or subscripted with other arrays
  • Execute commands contained in strings
  • Debugging utilities
  • Powerful and convenient array creation/manipulation functions
  • Complete set of utilities for processing string and date/time variables
  • Trap and handle errors
  • SQL-like query functions for tables
  • Context-sensitive on-line help
  • Full on-line documentation set

  Numerics

  • Operators (array-enabled): numeric, relational, Boolean
  • Common Functions (array-enabled): abs, min, max, trigonometric, hyperbolic, etc.
  • Special Functions (array-enabled): Bessel, error, gamma, etc.
  • Tensor Functions: generalized tensor products, traces, transpositions
  • Filters: multidimensional, convolution, parametric, polynomial, relational, Boolean
  • Linear Systems: inversion, determinants, decomposition, roots, least-squares, full and sparse matrix support, generalized eigensystems
  • Nonlinear Equations: systems, roots of polynomials and functions
  • Transforms: Laplace, multidimensional FFT
  • Quadrature: multivariate differentiation and integration
  • Differential Equations: systems, ODEs, PDEs
  • Optimization: multivariate, linear and nonlinear, constrained and unconstrained
  • Interpolation and Approximation: multidimensional gridding, n-linear interpolation, multi-variate polynomials, multivariate splines
  • Regression: multivariate, linear, polynomial, nonlinear
  • Basic Statistics: simple summary statistics, histograms, nonparametric statistics, goodness-of-fit tests, tabulation, sorting, ranking
  • Correlation and Covariance
  • Analysis of Variance
  • Categorical and Discrete Data Analysis
  • Time Series and Forecasting: autocorrelation, autoregression, lack-of-fit, GARCH
  • Multivariate Cluster and Factor Analysis
  • Survival Analysis
  • Probability Distribution Functions and Random Number Generation

  Graphics

  • Plotting: 2D and 3D line, 2D and 3D scatter, 2D and 3D vector, 2D and 3D bar, 2D and 3D contours, meshed and shaded surfaces
  • Basic Image Processing: equalize, scale, shrink, expand, warp, zoom, pan, copy, rotate, threshold, profile, smooth, convolve, erode and dilate images; filters (predefined and user-defined); define and analyze irregular regions of interest; algebraic operations; 3D projection
  • Animation
  • Polygonal Rendering: 3D mesh generation, iso-surfaces, light source control
  • Volume Rendering: isosurfaces, opacity, diffusivity, shading, slicing, light source control
  • Mapping: comprehensive geopolitical world database; wide variety of projections; overlay lines, images, contours and vectors; support for user-supplied databases and projections
  • Annotation: flexible axis, line and symbol styles; scalable/rotatable software/hardware fonts
  • Comprehensive Colortable Control
  • 3D View Control
  • VRML Support

  Data Import/Export

  • Formatted and unformatted read/write; XDR read/write; HDF read/write; HDF5 read/write; powerful ASCII read/write; XML; 8- and 24-bit image import/export (support for wide variety of image formats)

  Open Architecture

  • Spawn sub-tasks, transfer data via bi-directional pipes
  • Call PV-WAVE from a C or FORTRAN program
  • Call C or FORTRAN code from PV-WAVE
  • Communicate between PV-WAVE and another application via Remote Procedure Calls
  • Create an optional PV-WAVE module using the Options Programming Interface

  Graphical User Interface Development

  • Comprehensive set of high-level and low-level widgets
  • Resource file support and string services

  Visual Data Analysis Tools

  • "Super-widgets" allow non-programmers to do animation, image analysis, line plots, scatter plots, surface plots, contour plots, histogram plots, color table manipulation, variable manipulation and data import/export

  Signal Processing Toolkit

  • Filter Analysis: complex frequency response, analog and digital transfer functions
  • Classical Filter Design: bilinear transform; windowed FIR and IIR
  • Advanced Filter Design: least squares and optimal FIR and IIR
  • Multirate Filter Functions: decimation, interpolation, quadrature
  • Filter Realization: FIR/IIR causal and anticausal, multi-rate
  • Statistical Signal Processing: filter design, Toeplitz matrix factorization, autocorrelation
  • Transforms and Spectral Analysis: spectogram, power spectrum analysis, wavelet transforms
  • Polynomial Manipulation: spectral factorization, stabilization, algebraic operations
  • Specialized Plotting Routines: zero-pole plot of filter; comb plot of digital signal

  Advanced Image Processing Toolkit

  • Graphical User Interface (GUI)
  • Image file formats: import/export, most common formats
  • Support for multi-layered images, volumes, signals, animation and regions of interest
  • Point Operations: algebraic, Boolean, trigonometric, logarithmic, thresholding, slicing
  • General Filtering: edge, noise removal/generation, linear (convolutions, user-defined)
  • Advanced Filtering: spatial (nonlinear, adaptive), frequency (butterworth, ideal, etc.)
  • Morphological Image Processing: erode/dilate, open/close, outline, skeletonize
  • Mensuration: shape (moments, major axis, perimeter), statistical, distance mapping
  • Representation and Description: histograms, spatial/spectral textural analysis
  • Image Transforms: FFT, DCT, PCT, Hough, Slant, Radon, Wavelet
  • Geometric Transforms: scale, rotate, translate, interactive warp
  • Color: linear and nonlinear conversions between grayscale and 8-bit/24-bit color
  • Classification and Segmentation

  Advanced Gridding Toolkit

  • Minimum curvature solutions even for data with creases, tears and faults
  • User control over sensitivity to discontinuities, gridding accuracy, level of smoothing
  • Choose between bilinear interpolation or advanced adaptive and convergent techniques
  • Algorithms: scatter, cluster, weighted, direct

  Database Connection Toolkit

  • Direct link between Oracle, Sybase or ODBC database
  • Use standard SQL syntax to interactively open, query, subset, sort and filter null values
  • Support for multi-row fetches with adjustable row counts for Oracle and Sybase connections
  • User control over commits and rollbacks for ODBC connection

  Supported Computing Configurations





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