MATLAB SIGNAL PROCESSING TOOLBOX 6 Manual do Utilizador descarregar pdf (Página 8)

1 Overview

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Signal Processing Toolbox Product Description

Perform signal processing and analysis

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.

Key Features

• 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

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MATLAB SIGNAL PROCESSING TOOLBOX 6 Manual do Utilizador Página 8