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From: <ryanmay@us...>  20081106 22:53:06

Revision: 6368 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6368&view=rev Author: ryanmay Date: 20081106 22:53:02 +0000 (Thu, 06 Nov 2008) Log Message:  Improve the docstrings for mlab.psd and mlab.csd. Modified Paths:  trunk/matplotlib/lib/matplotlib/mlab.py Modified: trunk/matplotlib/lib/matplotlib/mlab.py ===================================================================  trunk/matplotlib/lib/matplotlib/mlab.py 20081105 17:12:03 UTC (rev 6367) +++ trunk/matplotlib/lib/matplotlib/mlab.py 20081106 22:53:02 UTC (rev 6368) @@ 238,39 +238,52 @@ a = y.mean()  b*x.mean() return y  (b*x + a)   def psd(x, NFFT=256, Fs=2, detrend=detrend_none, window=window_hanning, noverlap=0): """  The power spectral density by Welches average periodogram method.  The vector x is divided into NFFT length segments. Each segment  is detrended by function detrend and windowed by function window.  noperlap gives the length of the overlap between segments. The  absolute(fft(segment))**2 of each segment are averaged to compute Pxx,  with a scaling to correct for power loss due to windowing. + The power spectral density by Welch's average periodogram method. + The vector *x* is divided into *NFFT* length blocks. Each block + is detrended by the function *detrend* and windowed by the function + *window*. *noverlap* gives the length of the overlap between blocks. + The absolute(fft(block))**2 of each segment are averaged to compute + *Pxx*, with a scaling to correct for power loss due to windowing.  Fs is the sampling frequency (samples per time unit). It is used  to calculate the Fourier frequencies, freqs, in cycles per time  unit. + If len(*x*) < *NFFT*, it will be zero padded to *NFFT*. + *x* + Array or sequence containing the data + *NFFT*  The length of the FFT window. Must be even; a power 2 is most efficient. + The number of data points used in each block for the FFT. + Must be even; a power 2 is most efficient. The default value is 256. + *Fs* + The sampling frequency (samples per time unit). It is used + to calculate the Fourier frequencies, freqs, in cycles per time + unit. The default value is 2. + *detrend*  is a function, unlike in matlab where it is a vector. + Any callable function (unlike in matlab where it is a vector). + For examples, see :func:`detrend`, :func:`detrend_none`, and + :func:`detrend_mean`. The default is :func:`detrend_none`. *window*  can be a function or a vector of length NFFT. To create window  vectors see numpy.blackman, numpy.hamming, numpy.bartlett,  scipy.signal, scipy.signal.get_window etc. + A function or a vector of length *NFFT*. To create window + vectors see :func:`window_hanning`, :func:`window_none`, + :func:`numpy.blackman`, :func:`numpy.hamming`, + :func:`numpy.bartlett`, :func:`scipy.signal`, + :func:`scipy.signal.get_window`, etc. The default is + :func:`window_hanning`.  If len(*x*) < *NFFT*, it will be zero padded to *NFFT*. + *noverlap* + The number of points of overlap between blocks. The default value + is 0 (no overlap). Returns the tuple (*Pxx*, *freqs*).  Refs: Bendat & Piersol  Random Data: Analysis and Measurement Procedures, John Wiley & Sons (1986)  + Refs: + Bendat & Piersol  Random Data: Analysis and Measurement + Procedures, John Wiley & Sons (1986) """ # I think we could remove this condition without hurting anything. if NFFT % 2: @@ 317,26 +330,50 @@ def csd(x, y, NFFT=256, Fs=2, detrend=detrend_none, window=window_hanning, noverlap=0): """  The cross spectral density Pxy by Welches average periodogram + The cross power spectral density by Welch's average periodogram method. The vectors *x* and *y* are divided into *NFFT* length  segments. Each segment is detrended by function *detrend* and  windowed by function *window*. *noverlap* gives the length of the  overlap between segments. The product of the direct FFTs of *x*  and *y* are averaged over each segment to compute *Pxy*, with a  scaling to correct for power loss due to windowing. *Fs* is the  sampling frequency. + blocks. Each block is detrended by the function *detrend* and + windowed by the function *window*. *noverlap* gives the length + of the overlap between blocks. The product of the direct FFTs + of *x* and *y* are averaged over each segment to compute *Pxy*, + with a scaling to correct for power loss due to windowing.  *NFFT* must be even; a power of 2 is most efficient + If len(*x*) < *NFFT* or len(*y*) < *NFFT*, they will be zero + padded to *NFFT*.  *window* can be a function or a vector of length *NFFT*. To create  window vectors see :func:`numpy.blackman`, :func:`numpy.hamming`,  :func:`numpy.bartlett`, :func:`scipy.signal`,  :func:`scipy.signal.get_window` etc. + *x*, *y* + Array or sequence containing the data  Returns the tuple (*Pxy*, *freqs*) + *NFFT* + The number of data points used in each block for the FFT. + Must be even; a power 2 is most efficient. The default value is 256. + *Fs* + The sampling frequency (samples per time unit). It is used + to calculate the Fourier frequencies, freqs, in cycles per time + unit. The default value is 2. + + *detrend* + Any callable function (unlike in matlab where it is a vector). + For examples, see :func:`detrend`, :func:`detrend_none`, and + :func:`detrend_mean`. The default is :func:`detrend_none`. + + *window* + A function or a vector of length *NFFT*. To create window + vectors see :func:`window_hanning`, :func:`window_none`, + :func:`numpy.blackman`, :func:`numpy.hamming`, + :func:`numpy.bartlett`, :func:`scipy.signal`, + :func:`scipy.signal.get_window`, etc. The default is + :func:`window_hanning`. + + *noverlap* + The number of points of overlap between blocks. The default value + is 0 (no overlap). + + Returns the tuple (*Pxy*, *freqs*). + Refs:  Bendat & Piersol  Random Data: Analysis and Measurement + Bendat & Piersol  Random Data: Analysis and Measurement Procedures, John Wiley & Sons (1986) """ This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site. 