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"M` @G8@GՐ @!쀢 @;@Gʐ 㿈M਑&'& @ '*`"`@B @6ȑ6`@: M "@ '쉠L DB*`" B`@󍡈D'셠'셠BMฅĒ @‘*`$'셠BB‰Ē`@&M Mȁ "M`h@G|8㿐!Ȁ ("!"#`"#d <+)M%!#'!*a @Gn -!*@"c`D`&@: G!쩠&@ : + ?  *`*  #Oȍ"+ *  Oȉ$" (앥*&(HN* J̅& $JJ HH& ΍L&$JH& 23V @ĥB V@D  B   "&  &  "Oȅ"&  Oȅ"& @?㿀.` @    +  +` & & @`""`>`$ ` $`# : `@ `Y , @D'O ?O$%B?@D~O B@?@DwOO 64" @+  ( H@$DƉ DHHđ+`& `""&`"@@"`,-腡N@ęBN@DѕB@, 㿐@/C/CH ? ???㿐㿠㿠k@?@!TD-??Gz?zG{@!TD-?@$=?\(?v@?#c@!TD-?p =q?GzH@!TD-?@??@?-rt%s: can't open %s %s: sampling frequency must follow -f %s: no other option may be used with -i %s: no other option may be used with -I %s: transform size must follow -l %s: chunk size must follow -n %s: chunk size must follow -N %s: smoothing parameter must follow -s %s: window type must follow -w BartlettBlackmanBlackman-HarrisHammingHannHanningParzenSquareRectangularDirichletWelch%s: unrecognized window type %s %s: unrecognized option %s ignored %s: -c and -f are incompatible %s: -c and -p are incompatible %s: -c and -P are incompatible %s: -n, -p, and -P are incompatible %s: -n and -N are incompatible %s: insufficient memory %f%s: standard input is empty %s: input series is too short %s: (warning) possibly significant trend in input series ?@zG{?zG{@%g %g %g %g %g %g @ -Z Detrend and zero-mean the input data. -z Zero-mean the input data. `Hanning', `Parzen', `Square', and `Welch'. of: `Bartlett', `Blackman', `Blackman-Harris', `Hamming', Apply the specified WINDOW to the input data. WINDOW may be one -w WINDOW -S N Smooth the output by summing sets of N consecutive bins. -s N Smooth the output by applying an N-point moving average to each bin. -P Generate a power spectrum (print squared magnitudes). -p Show the phase in radians in the last column. of two. spectrum for each chunk. For best results, NN should be a power -N NN Process the input in overlapping chunks of NN samples and output a NN should be a power of two. of the imaginary components taken separately. For best results, the output is derived from the averages of the real components and is the average of the individual squared magnitudes; otherwise, an averaged spectrum. If used in combination with -P, the output -n NN Process the input in overlapping chunks of N samples and output samples beyond the first LEN are not read. Default: LEN = 16384. zeros up to the next higher power of two. Any additional input input series contains fewer than LEN samples, it is padded with higher power of two unless LEN is already a power of two. If the -l LEN Perform up to LEN-point transforms. `fft' rounds n up to the next -I Perform inverse FFT as above, but using input generated by `fft -p'. a series of samples. in the form generated by `fft -c', and the standard output is -i Perform inverse FFT; in this case, the standard input should be -h Print on-line help. frequencies are given in the same units. FREQ argument specifies the input sampling frequency; the center -f FREQ Show the center frequency for each bin in the first column. The imaginary components in second column). -c Output unnormalized complex FFT (real components in first column, (use `-' to read the standard input), and OPTIONS may be any of: where INPUT-FILE is the name of a text file containing a time seriesusage: %s [ OPTIONS ...] INPUT-FILE %s --More--?@ !TD-??@!TD-???,AA@J 08 0L T ?  t 00<0H0T0`0l0x00000000000000 0@>>8===h=<<