Visualize, measure, analyze, and compare signals in both the time domain and the frequency domain.
Use vectors or matrices to represent signals.
Generate a vector representing a time base. Create a sample signal consisting of two sinusoids.
Design and implement a filter using command-line functions or an interactive app.
Table of file formats that MATLAB® can read and write, and recommended functions
Create time vectors to use as independent variables in computations involving time series.
Take out irrelevant overall patterns that impede data analysis.
Filter out 60 Hz oscillations that often corrupt measurements.
Use median filtering to eliminate unwanted transients from data.
Signals often have missing samples. To provide estimates for these values, use resampling.
Resample and interpolate data measured at irregular intervals.
Synchronize data collected by different sensors at different instants.
Determine if a signal matches a segment of a noisy longer stream of data.
Locate the local maxima in a set of data and determine if those peaks occur periodically.
Verify the presence of cycles in a noisy signal, and determine their durations.
Determine how often and how sharply a bilevel signal turns on and off.
Perform spectral analysis of data whose values are not inherently numerical.
Use indexing to counteract the time shifts introduced by filtering.
Remove delays and distortion introduced by filtering, when it is critical to keep phase information intact.
Use a differentiator filter to differentiate a signal without amplifying the noise.
Spectral analysis helps characterize oscillatory behavior in data and measure the different cycles.
Use frequency analysis to characterize a signal embedded in noise.
Estimate the width of the frequency band that contains most of the power of a signal. For distorted signals, determine the power stored in the fundamental and the harmonics.
Identify similarity between signals in the frequency domain.
Use the Lomb-Scargle periodogram to study the periodicity of an irregularly sampled signal.