rdoc/fft.rdoc in rb-gsl-1.15.3.1 vs rdoc/fft.rdoc in rb-gsl-1.15.3.2
- old
+ new
@@ -1,26 +1,26 @@
#
# = Fast Fourier Transforms
# Contents:
-# 1. {Mathematical Definitions}[link:files/rdoc/fft_rdoc.html#1]
-# 1. {Complex data FFTs}[link:files/rdoc/fft_rdoc.html#2]
-# 1. {Overview of complex data FFTs}[link:files/rdoc/fft_rdoc.html#2.1]
-# 1. {Radix-2 FFT routines for complex data}[link:files/rdoc/fft_rdoc.html#2.2]
-# 1. {Example of the complex Radix-2 FFT}[link:files/rdoc/fft_rdoc.html#2.2.1]
-# 1. {Mixed-radix FFT routines for complex data}[link:files/rdoc/fft_rdoc.html#2.3]
-# 1. {GSL::FFT::ComplexWavetable class}[link:files/rdoc/fft_rdoc.html#2.3.1]
-# 1. {GSL::FFT::ComplexWorkspace class}[link:files/rdoc/fft_rdoc.html#2.3.2]
-# 1. {Methods to compute the transform}[link:files/rdoc/fft_rdoc.html#2.3.3]
-# 1. {Example of the mixed-radix FFT}[link:files/rdoc/fft_rdoc.html#2.3.4]
-# 1. {Real data FFTs}[link:files/rdoc/fft_rdoc.html#3]
-# 1. {Overview of real data FFTs}[link:files/rdoc/fft_rdoc.html#3.1]
-# 1. {Radix-2 FFT routines for real data}[link:files/rdoc/fft_rdoc.html#3.2]
-# 1. {Mixed-radix FFT routines for real data}[link:files/rdoc/fft_rdoc.html#3.3]
-# 1. {Data storage scheme}[link:files/rdoc/fft_rdoc.html#3.3.1]
-# 1. {Wavetable and Workspace classes}[link:files/rdoc/fft_rdoc.html#3.3.2]
-# 1. {Methods for real FFTs}[link:files/rdoc/fft_rdoc.html#3.3.3]
-# 1. {Examples}[link:files/rdoc/fft_rdoc.html#3.3.4]
+# 1. {Mathematical Definitions}[link:rdoc/fft_rdoc.html#1]
+# 1. {Complex data FFTs}[link:rdoc/fft_rdoc.html#2]
+# 1. {Overview of complex data FFTs}[link:rdoc/fft_rdoc.html#2.1]
+# 1. {Radix-2 FFT routines for complex data}[link:rdoc/fft_rdoc.html#2.2]
+# 1. {Example of the complex Radix-2 FFT}[link:rdoc/fft_rdoc.html#2.2.1]
+# 1. {Mixed-radix FFT routines for complex data}[link:rdoc/fft_rdoc.html#2.3]
+# 1. {GSL::FFT::ComplexWavetable class}[link:rdoc/fft_rdoc.html#2.3.1]
+# 1. {GSL::FFT::ComplexWorkspace class}[link:rdoc/fft_rdoc.html#2.3.2]
+# 1. {Methods to compute the transform}[link:rdoc/fft_rdoc.html#2.3.3]
+# 1. {Example of the mixed-radix FFT}[link:rdoc/fft_rdoc.html#2.3.4]
+# 1. {Real data FFTs}[link:rdoc/fft_rdoc.html#3]
+# 1. {Overview of real data FFTs}[link:rdoc/fft_rdoc.html#3.1]
+# 1. {Radix-2 FFT routines for real data}[link:rdoc/fft_rdoc.html#3.2]
+# 1. {Mixed-radix FFT routines for real data}[link:rdoc/fft_rdoc.html#3.3]
+# 1. {Data storage scheme}[link:rdoc/fft_rdoc.html#3.3.1]
+# 1. {Wavetable and Workspace classes}[link:rdoc/fft_rdoc.html#3.3.2]
+# 1. {Methods for real FFTs}[link:rdoc/fft_rdoc.html#3.3.3]
+# 1. {Examples}[link:rdoc/fft_rdoc.html#3.3.4]
#
# == {}[link:index.html"name="1] Mathematical Definitions
# Fast Fourier Transforms are efficient algorithms for calculating the discrete
# fourier transform (DFT),
#
@@ -57,11 +57,11 @@
#
#
# == {}[link:index.html"name="2] Complex data FFTs
# === {}[link:index.html"name="2.1] Overview of complex data FFTs
# The complex data FFT routines are provided as instance methods of
-# {GSL::Vector::Complex}[link:files/rdoc/vector_complex_rdoc.html].
+# {GSL::Vector::Complex}[link:rdoc/vector_complex_rdoc.html].
#
# Here is a table which shows the layout of the array data, and the correspondence
# between the time-domain complex data z, and the frequency-domain complex data x.
#
# index z x = FFT(z)
@@ -80,11 +80,11 @@
#
# When N is even the location N/2 contains the most positive and negative
# frequencies +1/(2 Delta), -1/(2 Delta) which are equivalent. If N is odd then
# general structure of the table above still applies, but N/2 does not appear.
#
-# {GSL::Vector::Complex}[link:files/rdoc/vector_complex_rdoc.html] provides four methods for
+# {GSL::Vector::Complex}[link:rdoc/vector_complex_rdoc.html] provides four methods for
# shifting the frequency domain data between <b>FFT order</b>, shown in the table
# above, and <b>natural order</b>, which has the most negative freqeuncy component
# first, the zero frequency component in the middle, and the most positive
# frequency component last.
#
@@ -261,22 +261,22 @@
#
# == {}[link:index.html"name="3] Real data FFTs
# === {}[link:index.html"name="3.1] Overview of real data FFTs
#
# The functions for real data FFTs are provided as instance methods of
-# {GSL::Vector}[link:files/rdoc/vector.class]. While they are similar to those for
+# {GSL::Vector}[link:rdoc/vector.class]. While they are similar to those for
# complex data, there is an important difference in the data storage layout
# between forward and inverse transforms. The Fourier transform of a real
# sequence is not real. It is a complex sequence with a special symmetry. A
# sequence with this symmetry is called <tt>conjugate-complex</tt> or
# <tt>half-complex</tt> and requires only as much storage as the original real
# sequence instead of twice as much.
#
# Forward transforms of real sequences produce half complex sequences of the same
# length. Backward and inverse transforms of half complex sequences produce real
# sequences of the same length. In both cases, the input and output sequences
-# are instances of {GSL::Vector}[link:files/rdoc/vector_rdoc.html].
+# are instances of {GSL::Vector}[link:rdoc/vector_rdoc.html].
#
# The precise storage arrangements of half complex seqeunces depend on the
# algorithm, and are different for radix-2 and mixed-radix routines. The radix-2
# functions operate in-place, which constrains the locations where each element
# can be stored. The restriction forces real and imaginary parts to be stored far
@@ -286,11 +286,11 @@
# complex sequence produces by a radix-2 forward transform <b>cannot</b> be
# recovered by a mixed-radix inverse transform (and vice versa).
#
# === {}[link:index.html"name="3.2] Radix-2 FFT routines for real data
# The routines for readix-2 real FFTs are provided as instance methods of
-# {GSL::Vector}[link:files/rdoc/vector_rdoc.html].
+# {GSL::Vector}[link:rdoc/vector_rdoc.html].
#
# <b>The FFT methods described below return FFTed data, and the input vector is
# not changed. Use methods with '!' as <tt>radix2_tranform!</tt> for in-place
# transform.</b>
#
@@ -524,12 +524,12 @@
# #data2 = ffted.halfcomplex_inverse()
# data2 = ffted.ifft
#
# graph(nil, data, data2, "-T X -C -g 3 -L 'Real-halfcomplex' -x 0 #{data.size}")
#
-# {prev}[link:files/rdoc/eigen_rdoc.html]
-# {next}[link:files/rdoc/wavelet_rdoc.html]
+# {prev}[link:rdoc/eigen_rdoc.html]
+# {next}[link:rdoc/wavelet_rdoc.html]
#
-# {Reference index}[link:files/rdoc/ref_rdoc.html]
-# {top}[link:files/rdoc/index_rdoc.html]
+# {Reference index}[link:rdoc/ref_rdoc.html]
+# {top}[link:index.html]
#
#