Visualize and compare multiple signals and spectra
The Signal Analyzer app is an interactive tool for visualizing, preprocessing, measuring, analyzing, and comparing signals in the time domain, in the frequency domain, and in the time-frequency domain. Using the app, you can:
Easily access all the signals in the MATLAB® workspace
Smooth, filter, resample, detrend, denoise, duplicate, extract, and rename signals without leaving the app
Add and apply custom preprocessing functions
Visualize and compare multiple waveform, spectrum, persistence, spectrogram, and scalogram representations of signals simultaneously
The Signal Analyzer app provides a way to work with many signals of varying durations at the same time and in the same view.
For more information, see Using Signal Analyzer App.
Signal Analyzer no longer opens Signal Labeler, which is now available as an app. If you want to label signals, open Signal Labeler from the MATLAB Toolstrip or the Command Window.
You need a Wavelet Toolbox™ license to use the scalogram view and to apply wavelet denoising to signals.
Open the Signal Analyzer App
MATLAB Toolstrip: On the Apps tab, under Signal Processing and Communications, click the app icon.
MATLAB command prompt: Enter
- Extract Voices from Music Signal
- Modulation and Demodulation Using Complex Envelope
- Find and Track Ridges Using Reassigned Spectrogram
- Declip Saturated Signals Using Your Own Function
- Compute Envelope Spectrum of Vibration Signal
- Find Delay Between Correlated Signals
- Plot Signals from the Command Line
- Resolve Tones by Varying Window Leakage
- Analyze Signals with Inherent Time Information
- Spectrogram View of Dial Tone Signal
- Find Interference Using Persistence Spectrum
- Scalogram of Hyperbolic Chirp
- Denoise Noisy Doppler Signal
- Resample and Filter a Nonuniformly Sampled Signal
- Extract Regions of Interest from Whale Song
signalAnalyzer opens the Signal Analyzer
signalAnalyzer( opens the
Signal Analyzer app and imports and plots the signal
sig. If the app is already open, then it plots
sig in the current display. If
already plotted but has changed, then the function call updates the plot.
sig can be a variable in the workspace or a MATLAB expression.
sig can be:
See Data Types Supported by Signal Analyzer for more details.
By default, the app plots the signal as a function of sample index. If you provide time information, or if the signal has inherent time information, then the app plots the signal as a function of time.
N signal vectors or matrices and plots them in the current
display. The app does not support importing signals with inherent time information
and signals without inherent time information in the same function call.
specifies a sample rate,
fs, as a positive scalar expressed in
Hz. The app uses the sample rate to plot one or more signals against time, assuming
a start time of zero. You can specify a sample rate for signals with no inherent
specifies a sample time,
ts, as a positive scalar expressed in
seconds. The app uses the sample time to plot one or more signals against time,
assuming a start time of zero. You can specify a sample time for signals with no
inherent time information.
specifies a signal start time,
st, as a scalar expressed in
seconds. If you do not specify a sample rate or sample time, then the app assumes a
sample rate of 1 Hz. You can specify a start time for signals with no inherent
specifies a vector,
tv, with time values corresponding to the
tv can be a real numeric vector with values
expressed in seconds.
tv can also be a
duration array. The values in
tv must be unique and cannot be
they need not be uniformly spaced. All input signals must have the same length as
tv. You can specify a vector of time values for signals
with no inherent time information.
Filtering and scalogram view do not support nonuniformly sampled signals.
- Time-Frequency Gallery
- Using Signal Analyzer App
- Edit Sample Rate and Other Time Information
- Data Types Supported by Signal Analyzer
- Spectrum Computation in Signal Analyzer
- Persistence Spectrum in Signal Analyzer
- Spectrogram Computation in Signal Analyzer
- Scalogram Computation in Signal Analyzer
- Keyboard Shortcuts for Signal Analyzer
- Signal Analyzer Tips and Limitations