Signal Processing Toolbox

Key Features

• Signal and linear system models
• Signal transforms, including fast Fourier transform (FFT), discrete Fourier transform (DFT), and short-time Fourier transform (STFT)
• Waveform and pulse generation functions, including sine, square, sawtooth, and Gaussian pulse
• Transition metrics, pulse metrics, and state-level estimation functions for bilevel waveforms
• Statistical signal measurements and data windowing functions
• Power spectral density estimation algorithms, including periodogram, Welch, and Yule-Walker
• Digital FIR and IIR filter design, analysis, and implementation methods
• Analog filter design methods, including Butterworth, Chebyshev, and Bessel
• Linear prediction and parametric time-series modeling

Analysis and visualization tools for verifying numerical accuracy and performance. Example plots from Signal Processing Toolbox include (clockwise from top left): A periodogram of a numerically controlled oscillator; a reconstructed ECG signal using the Walsh-Hadamard transform shown with the original ECG signal; the magnitude response of a low-pass FIR filter, with a specification mask overlay; and the impulse response of a Gaussian pulse-shaping filter for various bandwidths.