Visualize and analyze multiple signals simultaneously in time, frequency, and time-frequency domains, and obtain actionable insights, without writing any code.
Detect abrupt changes or statistical shifts in signals, characterize spectral content, identify patterns or trends, and automate signal measurement tasks to generate features from signals or time-series data.
Automatically generate C/C++ code from your signal processing algorithms.
Use the hundreds of routines included in the product to customize signal processing tasks and gain insights.
Create, resample, smooth, denoise, and detrend signals
Peaks, signal statistics, pulse and transition metrics, power, bandwidth, distortion
Cross-correlation, autocorrelation, cross-covariance, autocovariance, linear and circular convolution
FIR and IIR, single-rate and multirate filter design, analysis, and implementation
Fourier, chirp-Z, DCT, Hilbert, cepstrum, Walsh-Hadamard
Power spectrum, coherence, time-frequency analysis, windows
Linear prediction, autoregressive (AR) models, Yule-Walker, Levinson-Durbin
Order and frequency maps, order tracking, order spectra, frequency-response functions, modal analysis