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Finite impulse response low-pass filter using least squares fitting.
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# coding: utf-8 | |
#------------------------------------------------------------ | |
# FIR-LPF-Least-Squares-Fitting.rb | |
# | |
# Created by fukuroda (https://github.com/fukuroder) | |
#------------------------------------------------------------ | |
require "matrix" | |
# ideal low-pass filter | |
def ideal_LPF(w0, w) | |
if w < w0 then | |
return 1.0 | |
else | |
return 0.0 | |
end | |
end | |
# weight function | |
def weight(h, w0, w) | |
if w0-0.5*h < w and w < w0+0.5*h then | |
return 0.0 | |
else | |
return 1.0 | |
end | |
end | |
# c = [1, 2*cos(1*w), 2*cos(2*w), ... , 2*cos((n-1)/2*w)]^T | |
def c(n, w) | |
c_arr = [1] + (1..(n-1)/2).map{ |k| 2.0*Math.cos(k*w) } | |
return Matrix.columns([c_arr]) | |
end | |
# A | |
def matrix_A(n, h, w0) | |
div = 2**10 | |
div.times.map{ |k| Math::PI*k/div } \ | |
.map{ |w| weight(h, w0, w)*c(n, w)*c(n, w).t } \ | |
.inject(:+) | |
end | |
# b | |
def vector_b(n, h, w0) | |
div = 2**10 | |
div.times.map{ |k| Math::PI*k/div } \ | |
.map{ |w| weight(h, w0, w)*ideal_LPF(w0, w)*c(n, w) } \ | |
.inject(:+) | |
end | |
# entry | |
begin | |
print "filter order(odd number):" | |
n = gets.chomp().to_i | |
if n < 0 or n%2 == 0 then | |
raise "Please input an odd number." | |
end | |
puts | |
puts "=======================" | |
puts "[ideal low-pass filter]" | |
puts " " | |
puts "1+--------+ " | |
puts " | " | |
puts "0+ +--------+ " | |
puts " 0 w0 pi " | |
puts "=======================" | |
print "angular frequency(w0):" | |
w0 = gets.chomp().to_f | |
if w0 <= 0.0 or Math::PI <= w0 then | |
raise "Please input range (0.0, pi)." | |
end | |
puts | |
puts "=======================" | |
puts "[weight function] " | |
puts " " | |
puts "1+-----+ +-----+ " | |
puts " <--h--> " | |
puts "0+ +-----+ " | |
puts " 0 w0 pi " | |
puts "=======================" | |
print "transition width(h):" | |
h = gets.chomp().to_f | |
if h < 0.0 or Math::PI <= h then | |
raise "Please input range [0.0, pi)." | |
end | |
puts | |
puts "=======================" | |
puts "[least squares fitting]" | |
puts " " | |
puts "1+-----**** " | |
puts " <--h--> " | |
puts "0+ ****-----+ " | |
puts " 0 w0 pi " | |
puts "=======================" | |
puts "calculating..." | |
# solve linear systems Ax=b for x | |
vector_x = matrix_A(n, h, w0).inverse * vector_b(n, h, w0) | |
puts | |
puts "delay samples:" + ((n-1)/2).to_s | |
hk_arr = vector_x.column(0).to_a | |
(hk_arr.drop(1).reverse + hk_arr).each{ |hk| p hk } | |
rescue => ex | |
puts ex.message | |
end |
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