The `TransForm` control makes it easy to create your very own non rectangular, skinned and very cool apps (Windows 98/NT/2K and XP compatible). There are three controls in the library; the TransForm control, the TransFormDragBar and the TransFormButton.The package includes integrated context sesitive help and a detailed example click here for a screenshot.

skin, transform, transparent, custom form

Fourier transform" audio spectrum analyzer plug-in for professional music and audio production applications. For the most part it was derived from Voxengo GlissEQ dynamic parametric equalizer and reproduces its spectrum analysis functionality. SPAN provides you with a very flexible mode system which you can use to setup your spectrum analyzer preferences. You may specify Fourier block size in samples, FFT window overlap percentage, spectrum`s visual

spectrum, correlation, k level meter, analysis, spectrum analyzer

Fourier transform (FFT). Spectrum analysis frequency resolution is up to 524288 bins. The processing of overlapped in time series of samples of an input signal for combination of high resolution of the analysis on time and on frequency simultaneously. Smoothing windows (weighing an input signal) - more than 50 types. Averaging of results of some FFT: equally weighted - scalar or vector; exponentially weighted - scalar. Number of averaging transforms

spectrum, oscilloscope, real time, analyzer

Fourier Transform techniques for efficient convolutions, correlation analyses, spectral filtering, etc., both one- and two-dimensional. 4. Curve fitting for a wide range of model functions from simple linear regression to non-linear models with multiple data sets. 5. Statistics. 6. Analysis (derivatives, integrals, extrema, interpolation). 7. Graphical representation of data in Cartesian coordinates. 8. Complex number math, both in cartesian and

function, math, linear systems, library, matrix, programming, curve fitting, vector, inversion

Fourier Transform techniques for efficient convolutions, correlation analyses, spectral filtering, etc., both one- and two-dimensional. 4. Curve fitting for a wide range of model functions from simple linear regression to non-linear models with multiple data sets. 5. Statistics. 6. Analysis (derivatives, integrals, extrema, interpolation). 7. Graphical representation of data in Cartesian coordinates. 8. Complex number math, both in cartesian and

function, math, linear systems, library, matrix, programming, curve fitting, vector, inversion

Fourier Transform techniques for efficient convolutions, correlation analyses, spectral filtering, etc., both one- and two-dimensional. 4. Curve fitting for a wide range of model functions from simple linear regression to non-linear models with multiple data sets. 5. Statistics. 6. Analysis (derivatives, integrals, extrema, interpolation). 7. Graphical representation of data in Cartesian coordinates. 8. Complex number math, both in cartesian and

function, math, linear systems, library, matrix, programming, curve fitting, vector, inversion