Release of LTFAT version 1.0 (=?ISO-8859-1?Q?=22Peter_L=2E_S=F8ndergaard=22?=)


Subject: Release of LTFAT version 1.0
From:    =?ISO-8859-1?Q?=22Peter_L=2E_S=F8ndergaard=22?= <=?ISO-8859-1?Q?=22Peter_L=2E_S=F8ndergaard=22?=>
Date:    Thu, 11 Aug 2011 13:16:44 +0200
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Dear list, LTFAT version 1.0 was released on June 18. 2011 after more than 7 years of development. The Linear Time-Frequency Analysis Toolbox (LTFAT) is a free software toolbox (GPLv3) written in the Matlab/Octave scripting language. It comprises more than 200 different functions in the area of Fourier analysis, signal processing and time-frequency analysis. The toolbox can be downloaded from http://ltfat.sourceforge.net. The toolbox can be used for both educational, research and computational purposes. It has a backend implemented in C, which can be compiled to speed up all computational intensive functions. The following is a list of the current major functionality in LTFAT: Fourier analysis: * FFT for real valued signals (fftreal) and its inverse. * 8 different discrete cosine and sine transforms. * Next fast FFT size (modern nextpow2 replacement). * Periodic, zero-delay filtering. * Periodic, discrete function (chirp, heaviside, sinc etc.) * 2 different classes of discrete Hermite functions. * Periodic Gauss function. * Long list of classic FIR window functions (Hann, Hamming, Blackman, iterated sine, Nuttall etc.), Time-frequency analysis: * The discrete Gabor transform (DGT) and its inverse. * Wilson and windowed MDCT bases. * Methods for constructing dual and tight windows (perfect and paraunitary filter prototypes). * GUI (Matlab-only) to modify signals in the time-frequency domain. * Spectrogram and reassigned spectrogram plots. * Accurate computation of localized instantaneous frequency and group delay. * Twisted convolution and discrete, symplectic Fourier transform. * Zak transform and its inverse. * TF-multiplier operators with adjoint and best approximation function. * Spreading operators with inverse and adjoint. * Reconstruction from the magnitude of the DGT. Filterbanks: * Uniform filterbanks and inverse. * Non-uniform filterbanks and inverse. * Methods for constructing dual and tight filterbanks (perfect reconstruction and paraunitary filterbanks). Time-evolving TF-systems: * Non-stationary Gabor systems (NSDGT) and inverse. * Methods for constructing dual and tight NSDGTs. Auditory functions: * Perceptual frequency scales: Erb, Bark and Mel scales. * Gammatone filters. * Range compression (mu-law and A-law). Signal processing: * Levels of signals: RMS-norm, gain and crest factor. * Ramping of signals based on FIR windows. * Simple tools for working with coefficients (thresholding, N-term approx. etc) * Group and elitist threshholding. * Sparse regression in the Gabor and WMDCT domain. * Uniform quantization. and not forgetting: * Demos demonstrating the use of the toolbox. * Test signals: sounds, images and noise generators (white, pink, red/brown noise). On behalf of the LTFAT developers, Peter L. Soendergaard.


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