Wavelet Analyzer

R2026b

(Removed) Analyze signals and images using wavelets

The Wavelet Analyzer app has been removed. For alternatives, see Version History.

Description

The Wavelet Analyzer app has been removed.

If you are using a release older than R2023b, see the documentation for Other Releases.

For alternatives to Wavelet Analyzer, see Version History.

Open the Wavelet Analyzer App

• MATLAB^® command prompt: Enter waveletAnalyzer.

Examples

Wavelet Analyzer has been removed

Wavelet Analyzer has been removed.

waveletAnalyzer

Error using waveletAnalyzer (line 7)
waveletAnalyzer has been removed. Use Signal Multiresolution Analyzer, Wavelet Image Analyzer, Wavelet Signal Analyzer, Wavelet Signal Denoiser, or Wavelet Time-Frequency Analyzer instead.

Version History

Introduced before R2006a

R2023b: Removed

The Wavelet Analyzer app has been removed.

• To perform signal multiresolution analysis using wavelet and data-adaptive techniques, use the Signal Multiresolution Analyzer app.

• To analyze images using the discrete wavelet or continuous wavelet transforms, use the Wavelet Image Analyzer app.

• To analyze and compress signals using discrete wavelet or wavelet packet transforms, use the Wavelet Signal Analyzer app.

• To analyze and denoise signals using the discrete wavelet transform, use the Wavelet Signal Denoiser app.

• To perform time-frequency analysis of signals using the continuous wavelet transform, use the Wavelet Time-Frequency Analyzer app.

R2023a: Removed from Apps tab and will be removed in R2023b

You can no longer launch Wavelet Analyzer app from the MATLAB Apps tab. In R2023b, Wavelet Analyzer will be removed. Use one of these apps instead:

• Signal Multiresolution Analyzer — Perform signal multiresolution analysis using wavelet and data-adaptive techniques.

• Wavelet Image Analyzer — Analyze images using the discrete wavelet transform.

• Wavelet Signal Analyzer — Analyze and compress signals using the nondecimated discrete wavelet transform.

• Wavelet Signal Denoiser — Analyze and denoise signals using the discrete wavelet transform.

• Wavelet Time-Frequency Analyzer — Perform time-frequency analysis of signals using the continuous wavelet transform.

R2022b: To be removed

The Wavelet Analyzer app is no longer recommended and will be removed in a future release.

• For time-frequency analysis, use the Wavelet Time-Frequency Analyzer app.

• For wavelet signal denoising, use the Wavelet Signal Denoiser app.

• For signal multiresolution analysis, use the Signal Multiresolution Analyzer app.

R2022a: Additional tools in the Wavelet Analyzer app have been removed

The following tools in the Wavelet Analyzer app have been removed.

Tools	Replacement
Continuous Wavelet 1-D	To visualize the scalogram, use the new Wavelet Time-Frequency Analyzer app or the cwt function. With the app, you can select the wavelet to use as well as adjust Morse wavelet parameters. The app also supports single-variable regularly sampled timetables and real- or complex-valued single- or double-precision data.
Complex Continuous Wavelet 1-D	Use the new Wavelet Time-Frequency Analyzer app or the cwt function. With the app, you can also export the scalogram and generate a script to reproduce the wavelet analysis to your workspace.

R2020a: Some tools in the Wavelet Analyzer app have been removed

The following tools in the Wavelet Analyzer app have been removed.

Tools	Replacement
Continuous Wavelet 1-D (Using FFT)	To take the CWT of a single time series, use cwt. To take the CWT of multiple time series, the recommended procedure is to precompute a CWT filter bank with cwtfilterbank and apply the filter bank to multiple time series. See Using CWT Filter Bank on Multiple Time Series. To visualize the scalogram, use cwt. To visualize wavelets in time and frequency, use cwtfilterbank.
New Wavelet for CWT	To tune the generalized Morse wavelet to your needs, vary the time-bandwidth and symmetry parameters of cwtfilterbank or cwt. To create a custom DWT filter bank, use dwtfilterbank. See Add Quadrature Mirror and Biorthogonal Wavelet Filters.
Fractional Brownian Generation 1-D	To synthesize fractional Brownian motion, use wfbm.
Wavelet Display, Wavelet Packet Display	To visualize the analytic Morse, Morlet, and bump wavelets in time and frequency, use cwtfilterbank. To visualize orthogonal and biorthogonal wavelets in time and frequency, use dwtfilterbank. To visualize in time other wavelets such as the Meyer, Morlet, Gaussian, Mexican hat, and Shannon wavelets, use wavefun. To display wavelet packets, use wpfun.
Signal Extension, Image Extension	To extend real-valued vectors or matrices, use wextend.