Version 5.0, part of Release 2018a, includes the following enhancements:

  • Filter Banks for Continuous Wavelet Transform: Create, visualize, and use filter banks for time-frequency analysis
  • Filter Banks for Discrete Wavelet Transform: Explore time-frequency characteristics of wavelets and scaling functions
  • Constant-Q Transform: Perform adaptive time-frequency analysis using nonstationary Gabor frames
  • Scalogram View: Detect transients and perform time-frequency analysis with the Signal Analyzer App
  • Empirical Mode Decomposition and Hilbert-Huang Transform: Perform data-adaptive time-frequency analysis of nonlinear and nonstationary processes
  • Continuous Wavelet Transform: Improved control of time-frequency parameters and timetable support
  • Machine and Deep Learning Examples: Classify signals using wavelet-based feature extraction and deep learning

See the Release Notes for details.

Version 4.19, part of Release 2017b, includes the following enhancements:

  • Wavelet Signal Denoiser App: Visualize and denoise time-series data
  • Wavelet Denoising: Denoise time-series data with improved automatic selection of input parameters
  • Continuous Wavelet Transform: Perform time-frequency analysis of complex-valued time-series data

See the Release Notes for details.

Version 4.18, part of Release 2017a, includes the following enhancements:

  • Multiscale Local Polynomial Transform: Perform smoothing of nonuniformly sampled signals
  • 3-D Dual-Tree Complex Wavelet Transform: Perform directionally selective wavelet analysis of volumetric data

See the Release Notes for details.

Version 4.17, part of Release 2016b, includes the following enhancements:

  • Code Generation: Generate C code for DWT, wavelet packets, and denoising​​​ using MATLAB Coder
  • Continuous Wavelet Transform: Analyze signals with improved automatic selection of wavelet and scales
  • Morse Wavelets: Family of analytic wavelets for continuous wavelet analysis
  • Wavelet Leaders and Wavelet Transform Modulus Maxima: Characterize fractal data and singularities
  • Haar Lifting Transforms: Perform multiresolution analysis of images and multichannel signals

See the Release Notes for details.

Version 4.16, part of Release 2016a, includes the following enhancements:

  • Maximal Overlap Discrete Wavelet Packet Transform: Perform nondecimated wavelet packet analysis on arbitrary-length signals
  • Wavelet Synchrosqueezing: Sharpen time-frequency estimates and extract signal modes
  • Wavelet Coherence: Compare time-varying frequency content between signals

See the Release Notes for details.