DSP Blockset    
Magnitude FFT

Compute a nonparametric estimate of the spectrum using the periodogram method.

Library

Estimation / Power Spectrum Estimation

Description

The Magnitude FFT block computes a nonparametric estimate of the spectrum using the periodogram method. For input u, this is equivalent to

Both an M-by-N frame-based matrix input and an M-by-N sample-based matrix input are treated as M sequential time samples from N independent channels. The block computes a separate estimate for each of the N independent channels and generates an Nfft-by-N matrix output. When Inherit FFT length from input dimensions is selected, Nfft is specified by the frame size of the input, which must be a power of 2. When Inherit FFT length from input dimensions is not selected, Nfft is specified as a power of 2 by the FFT length parameter, and the block zero pads or truncates the input to Nfft before computing the FFT.

Each column of the output matrix contains the estimate of the corresponding input column's power spectral density at Nfft equally spaced frequency points in the range [0,Fs), where Fs is the signal's sample frequency. The output is always sample-based.

Example

The dspsacomp demo compares the periodogram method with several other spectral estimation methods.

Dialog Box

Inherit FFT length from input dimensions
When selected, uses the input frame size as the number of data points, Nfft, on which to perform the FFT.
FFT size
The number of data points on which to perform the FFT, Nfft. If Nfft exceeds the input frame size, the frame is zero-padded as needed. This parameter is enabled when Inherit FFT length from input dimensions is not selected.

References

Oppenheim, A. V. and R. W. Schafer. Discrete-Time Signal Processing. Englewood Cliffs, NJ: Prentice Hall, 1989.

Proakis, J. and D. Manolakis. Digital Signal Processing. 3rd ed. Englewood Cliffs, NJ: Prentice-Hall, 1996.

See Also

Burg Method
DSP Blockset
Short-Time FFT
DSP Blockset
Spectrum Scope
DSP Blockset
Yule-Walker Method
DSP Blockset
pwelch
Signal Processing Toolbox

See Power Spectrum Estimation for related information.


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