Time-frequency Toolbox

Time-frequency Toolbox. The Time-Frequency Toolbox is a collection of M-files developed for the analysis of non-stationary signals using time-frequency distributions. This toolbox includes two groups of files : the signal generation files, which allow the synthesis of numerous kinds of non-stationary signals ; the processing files, including the time-frequency distributions and other related processing functions.

References in zbMATH (referenced in 9 articles )

Showing results 1 to 9 of 9.
Sorted by year (citations)

  1. Świercz, Ewa: Classification in the Gabor time-frequency domain of non-stationary signals embedded in heavy noise with unknown statistical distribution (2010)
  2. Swiercz, Ewa; Pieniezny, Andrzej: Detection-recognition algorithm based on the Gabor transform for unknown signals embedded in unknown noise (2009)
  3. Vavourakis, V.; Protopappas, V.I.C.; Fotiadis, D.; Polyzos, D.: Numerical determination of modal dispersion and AE signal characterization in waveguides through LBIE/BEM and time-frequency analysis (2009)
  4. Andrade, Adriano O.; Kyberd, Peter; Nasuto, Slawomir J.: The application of the Hilbert spectrum to the analysis of electromyographic signals (2008) ioport
  5. Dugnol, B.; Fernández, C.; Galiano, G.; Velasco, J.: Implementation of a diffusive differential reassignment method for signal enhancement: an application to wolf population counting (2007)
  6. Tzallas, A.T.; Tsipouras, M.G.; Fotiadis, D.I.: Automatic seizure detection based on time-frequency analysis and artificial neural networks (2007) ioport
  7. Balocchi, R.; Menicucci, D.; Santarcangelo, E.; Sebastiani, L.; Gemignani, A.; Ghelarducci, B.; Varanini, M.: Deriving the respiratory sinus arrhythmia from the heartbeat time series using empirical mode decomposition (2004)
  8. Borgnat, Pierre; Flandrin, Patrick: On the chirp decomposition of Weierstrass-Mandelbrot functions, and their time-frequency interpretation. (2003)
  9. Daubechies, Ingrid; Planchon, Fabrice: Adaptive Gabor transforms (2002)