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.
Signal transforms including fast Fourier transform (FFT), short-time Fourier transform (STFT), and Hilbert transform
FIR and IIR filter design and analysis
Measurements such as transition and pulse metrics, band power, bandwidth, and distortion
Power spectrum estimation algorithms and data windowing functions
Statistical signal measurements such as autocorrelation and cross-correlation
Linear prediction and parametric time series modeling
Waveform and pulse generation and data resampling functions