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LGb"# &,  L;b@K@"bȠ &,  L-c@J@"aX &,  Lc8@J@"c "!H "# 6, @J@`""̀d$  6, @J@`""̀d$" LcX""Ġ &,  Lc@L@Jc 2, C]#(@L@Jc 2, CS#@L@Jc 2, DI P@L@JcЀ 2, D?!P@L@Jc؀  D, @L@Jc 2, D-!@L@Juc耢 , D#"8@L@Jkc D@L@Jdc  D@M@J]` 2, D "@M@JS` 2 , D""c "# M` 8@J7@     "#ȗ,  M`H8@J&@  ۑ, #耢 #Ā " MJ`p!H " MA`# " M8`!X!H @#@" M*`#쀢 !X " M`#"!X"̀ #耢 " M a!H   Ma@@I8 bȀ  "b"#@4  "#  :`@6:`"#c* "c"#"Ȁ@6 *`@&*`"##"b@I  Q"c# &"#"!`"!d'#%31M $#bȀ *c@I!h ## ">@_L !X`/2`@: "  "#  :`@6:`"#!#*`$#@IY   #2`@:`@IP   Map"#'1M $#c * @I:!h ##Ȁ ="#"!``"!d#* "@"`D:` " 1+-/M'5*`, " "`D<` c $c#aX@:,  @Hh c2"#"!``"!d㤑* "@ " +-/1M '㤓*`, "  c $ccX@ ,  @H˒!h c#!X@9@m#쀢 @*#  # ##, "#  %, # #c, #  %a< U"a<!< 4 MHa#쀢 % # ! #A+-', "B @c?@Hi< …$ 㸀*, ##㤑, !<"@ , @#   Ma@H)8  @#쀢  @k @Hxxxxpxxx xxxxxxhxxxxxxxxPxx`xxxx8xxxxxxhxx`㿈M"()( @ )*`"`@B @6`@: M""@ '쉠L DB*`" B`@D '셠'셠 BM"D @‘*`$'셠 BB‰Ē`@&M"  M"(   Ma@G8㿐#Ȁ &"#"!`"!d-)+'%M c*`"!`D`2 @: I!쭠2`@: + ?# *`*  #P "+ *  !P I$"(애*&(HN* J̅& $JJ HH& ΍L&$JH& 23 D TĥB D TD  B  "& &  #P  "&  #& @?㿀.` "  >`* + & &@` "`" :    @2"   `X , @D'P @ ?P H B?@D}P P B@?@Dv !P XP 4 `" * ( H@$DƉ DHHđ+ & `""&`""`,-腠 DNęB腢D NDЕB@㿐/Cp ???㿐㿠Q㿠@?@!TD-??Gz?zG{@!TD-?@$=?\(?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: -c and -s or -S are incompatible %s: -p and -s or -S are incompatible %f%s: insufficient memory %s: input series is too short %s: standard input is empty %s: (warning) possibly significant trend in input series ?zG{?zG{@%g %g %g %g %g%g @?usage: %s [ OPTIONS ...] INPUT-FILE where INPUT-FILE is the name of a text file containing a time series (use `-' to read the standard input), and OPTIONS may be any of: -c Output unnormalized complex FFT (real components in first column, imaginary components in second column). -f FREQ Show the center frequency for each bin in the first column. The FREQ argument specifies the input sampling frequency; the center frequencies are given in the same units. -h Print on-line help. -i Perform inverse FFT; in this case, the standard input should be in the form generated by `fft -c', and the standard output is a series of samples. -I Perform inverse FFT as above, but using input generated by `fft -p'. -l LEN Perform up to LEN-point transforms. `fft' rounds n up to the next higher power of two unless LEN is already a power of two. If the input series contains fewer than LEN samples, it is padded with zeros up to the next higher power of two. Any additional input samples beyond the first LEN are not read. Default: LEN = 16384. -n NN Process the input in overlapping chunks of N samples and output an averaged spectrum. If used in combination with -P, the output is the average of the individual squared magnitudes; otherwise, the output is derived from the averages of the real components and of the imaginary components taken separately. For best results, NN should be a power of two. -N NN Process the input in overlapping chunks of NN samples and output a spectrum for each chunk. For best results, NN should be a power of two. -p Show the phase in radians in the last column. -P Generate a power spectrum (print squared magnitudes). -s N Smooth the output by applying an N-point moving average to each bin. -S N Smooth the output by summing sets of N consecutive bins. -w WINDOW Apply the specified WINDOW to the input data. 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