Signal Processing Toolbox

Matlab Signal Processing Toolbox. Signal Processing Toolbox™ provides functions and apps to generate, measure, transform, filter, and visualize signals. The toolbox includes algorithms for resampling, smoothing, and synchronizing signals, designing and analyzing filters, estimating power spectra, and measuring peaks, bandwidth, and distortion. The toolbox also includes parametric and linear predictive modeling algorithms. You can use Signal Processing Toolbox to analyze and compare signals in time, frequency, and time-frequency domains, identify patterns and trends, extract features, and develop and validate custom algorithms to gain insight into your data.

References in zbMATH (referenced in 24 articles )

Showing results 1 to 20 of 24.
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  1. Sundararajan, D.: Introductory circuit theory (2020)
  2. Mendez, M. A.; Balabane, M.; Buchlin, J.-M.: Multi-scale proper orthogonal decomposition of complex fluid flows (2019)
  3. Wunsch, A. David: A Matlab companion to complex variables (2016)
  4. Grewal, Mohinder S.; Andrews, Angus P.: Kalman filtering. Theory and practice with MATLAB (2015)
  5. Sundararajan, D.: Discrete wavelet transform. A signal processing approach (2015)
  6. Shenton, Andrew Thomas; Abass, Ahmed: Non-parametric linear time-invariant extensions of non-invertible and backlash plant (2014)
  7. Rennert, Ines; Bundschuh, Bernhard: Signals and systems. Introduction to system theory (2013)
  8. Wang, Tianmiao; Chen, Yang; Liang, Jianhong: Chaos-genetic algorithm for the system identification of a small unmanned helicopter (2012)
  9. Czop, Piotr: Application of advanced data-driven parametric models to load reconstruction in mechanical structures and systems (2011)
  10. Czop, Piotr; Mendrok, Krzysztof; Uhl, Tadeusz: Application of inverse linear parametric models in the identification of rail track irregularities (2011)
  11. Pereira Leite, Emilson (ed.): MATLAB -- modelling, programming and simulations. (2010)
  12. Borges, Valério Luiz; Sousa, Priscila F. B.; Guimarães, Gilmar: Experimental determination of thermal conductivity and diffusivity using a partially heated surface method without heat flux transducer (2008)
  13. Popescu-Bodorin, Nicolaie: Bit Reversal through direct Fourier permutation method and Vectorial Digit Reversal generalization (2008)
  14. Sousa, Priscila F. B.; Carvalho, Solidônio R.; Guimarães, Gilmar: Dynamic observers based on Green’s functions applied to 3D inverse thermal models (2008)
  15. Zhang, B.; Wang, D.; Ye, Y.; Wang, Y.; Zhou, K.: Two-mode ILC with pseudo-downsampled learning in high frequency range (2007)
  16. Muğan, Ata: Discrete equivalent time integration methods for transient analysis (2003)
  17. Stephens, R. I.; Bilkhu, T. S.; MacAlister, A. F.; Reeve, P. J.: Adaptive control for industry: Feedforward control for metal rolling mills (1999)
  18. Yuan, Lester L.; Street, Robert L.; Ferziger, Joel H.: Large-eddy simulations of a round jet in crossflow (1999)
  19. Rosenblum, Michael; Kurths, Jürgen: Analysing synchronization phenomena from bivariate data by means of the Hilbert transform (1998)
  20. Mat, M. D.; Ilegbusi, O. J.: Kinematic mixing of two fluids with valve perturbation (1997)

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