waves-16-arma

git clone https://git.igankevich.com/waves-16-arma.git
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commit f6e603114e163444b09be9907a4519348ff3be26
parent 1373a9ed07a127e4a3f9bbe312bcf600ee8b8f9e
Author: Ivan Gankevich <igankevich@ya.ru>
Date:   Tue, 30 May 2017 17:32:25 +0300

Spell-check.

Diffstat:
arma.org | 8++++----
1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/arma.org b/arma.org @@ -1323,10 +1323,10 @@ formula using nested FFTs. Since two-dimensional FFT of the same size is repeatedly applied to every time slice, its coefficients (complex exponents) are pre-computed for all slices, and computations are performed with only a few transcendental functions. In case of MA model, performance is also increased by -doing convolution with FFT transforms. So, high performance of ARMA model is due -to scarce use of transcendental functions and heavy use of FFT, not to mention -that high convergence rate and non-existence of periodicity allows to use far -fewer coefficients compared to LH model. +doing convolution with FFT. So, high performance of ARMA model is due to scarce +use of transcendental functions and heavy use of FFT, not to mention that high +convergence rate and non-existence of periodicity allows to use far fewer +coefficients compared to LH model. ARMA implementation uses several libraries of reusable mathematical functions and numerical algorithms (listed in table\nbsp{}[[tab-arma-libs]]), and was