Software and Data Resources

The Multimedia Signal Processing group provides stand-alone and MatLab-based toolkits for education and research purposes. We also provide data sets and results of our research. The links take you to the pages with information and downloads of these software and data resources.
GDFT. Matlab functions to implement the generalized discrete Fourier transform (GDFT) as described in (see also under publications):

Martinez Castaneda, J., R. Heusdens, and R. C. Hendriks, 'A Generalized Poisson Summation Formula and its Application to Fast Linear Convolution' , Signal Processing Letters, IEEE, vol. 18, issue 9, no. 9, pp. 501 -504, sept, 2011.

A geometrically weighted extension of a signal.

MMSE noise PSD tracker. Matlab implementation of the noise PSD tracking algorithm described in "MMSE BASED NOISE PSD TRACKING WITH LOW COMPLEXITY", by Richard C. Hendriks, Richard Heusdens and Jesper Jensen, IEEE International Conference on Acoustics, Speech and Signal Processing, 03/2010, Dallas, TX, p.4266-4269, (2010).

PSD Tracker

Unbiased MMSE-based Noise Power Estimator. Matlab implementation of the noise PSD tracking algorithm described in

PSD Tracker

STOI. Matlab implementation of the Short-Time Objective Intelligibility (STOI) for intelligibility prediction of time-frequency weighted noisy speech. For more details see (under publications):

C.H. Taal, R.C. Hendriks, R. Heusdens, J. Jensen 'An Algorithm for Intelligibility Prediction of Time-Frequency Weighted Noisy Speech' , IEEE Transactions on Audio, Speech and Language Processing, 2011.

C.H. Taal, R.C. Hendriks, R. Heusdens, J. Jensen 'A Short-Time Objective Intelligibility Measure for Time-Frequency Weighted Noisy Speech' , ICASSP 2010, Texas, Dallas.

STOI scatterplot

VcDemo. Image and Video Compression Learning Tool

VcDemo screenshot

Anonymous fingerprinting. Anonymous Fingerprinting with Robust QIM Watermarking Techniques

Anonymous Fingerprinting

GenGam. Toolbox for MMSE estimators of DFT coefficients under the generalized Gamma density

GenGam