Signal Processing Toolbox    

Nonparametric Methods

The following sections discuss the periodogram, modified periodogram, Welch, and multitaper methods of nonparametric estimation, along with the related CSD function, transfer function estimate, and coherence function.

Periodogram

One way of estimating the power spectrum of a process is to simply find the discrete-time Fourier transform of the samples of the process (usually done on a grid with an FFT) and take the magnitude squared of the result. This estimate is called the periodogram.

The periodogram estimate of the PSD of a length-L signal xL[n] is

where

The actual computation of XL(f) can be performed only at a finite number of frequency points, N, and usually employs the FFT. In practice, most implementations of the periodogram method compute the N-point PSD estimate

where

It is wise to choose N > L so that N is the next power of two larger than L. To evaluate XL[fk], we simply pad xL[n] with zeros to length N. If L > N, we must wrap xL[n] modulo-N prior to computing XL[fk].

As an example, consider the following 1001-element signal xn, which consists of two sinusoids plus noise:

The periodogram estimate of the PSD can be computed by

and a plot of the estimate can be displayed by simply omitting the output argument, as below:

The average power can be computed by approximating the integral with the following sum:

You can also compute the average power from the one-sided PSD estimate:


  Spectral Estimation Method Performance of the Periodogram