File:8-point Hann windows.png

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8-point_Hann_windows.png(620 × 392 pixels, file size: 41 KB, MIME type: image/png)

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Summary

Description
English: We illustrate two different ways to generate Hann window functions for spectral analysis applications. MATLAB calls them "symmetric" and "periodic". The latter is also called "DFT Even" in the classic Frederic Harris paper.
Date
Source Own work
Author Bob K
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(Reusing this file)
I, the copyright holder of this work, hereby publish it under the following license:
Creative Commons CC-Zero This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication.
The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

Other versions Derivative works of this file:  8-point Hann windows.svg,
PNG development
InfoField
 
This PNG graphic was created with GNU Octave.
Octave/gnuplot source
InfoField
click to expand

This graphic was created by the following Octave script:

pkg load signal
graphics_toolkit gnuplot
clear all; close all; clc

 M=5600;        % big number, divisible by 7 and 8
% Generate M+1 samples of a Hann window
 window = hann(M+1);
 N=8;           % actual window size, in "hops"

% Sample the window.
% Scale the abscissa. 0:M samples --> 0:7 "hops", and take 8 symmetrical hops, from 0 to 7
 sam_per_hop_7 = M/7;
 symmetric = window(1+(0:7)*sam_per_hop_7);

% Scale the abscissa. 0:M samples --> 0:8 "hops", and take 8 asymmetrical hops, from 0 to 7
 sam_per_hop_8 = M/8;
 periodic = window(1+(0:7)*sam_per_hop_8);

% Compare equivalent noise bandwidths (info only)
 ENBW_symmetric = N*sum(symmetric.^2)/sum(symmetric)^2                            % 
 ENBW_periodic  = N*sum(periodic.^2) /sum(periodic)^2                             % 

%Replace above with the equivalent formulaic versions
%This step just proves that formulas match window() array.
 symmetric = .5*(1-cos(2*pi*(0:7)/7));
 periodic  = .5*(1-cos(2*pi*(0:7)/8));     % aka "DFT Even"

%Compare equivalent noise bandwidths (info only)
 ENBW_symmetric = N*sum(symmetric.^2)/sum(symmetric)^2       % 1.7143
 ENBW_periodic  = N*sum(periodic.^2) /sum(periodic)^2        % 1.5
 
%Plot the coefficients as dots
 figure
 plot(0:7, symmetric, 'color', 'red', '.', 'MarkerSize', 10)
 box off                                    % no border around plot
 hold on                                    % same axes for next 3 plots
 
 plot(0:7, periodic,  'color', 'blue', '.', 'MarkerSize', 10)
 
% Connect the dots
 hops = (0:M)/sam_per_hop_8;
 plot(hops, window, "color","blue")          % periodic

 hops = (0:M)/sam_per_hop_7;
 plot(hops, window, "color","red")           % symmetric
 
xlim([0 8])
set(gca,'FontSize',14)
set(gca, "yaxislocation", "origin")
set(gca, 'xgrid', 'on')
set(gca, 'ygrid', 'on')
set(gca, 'ytick', [0:.25:1])
set(gca, 'xtick', [0:8])
text(3.3, 0.27, 'Matlab "symmetric" \rightarrow', 'color', 'red', 'FontSize',12)

str = {'\leftarrow Matlab "periodic"','     ("DFT-even")'};
text(5.5, 0.74, str, 'color', 'blue', 'FontSize',12)

title('Two 8-point Hann window functions', 'FontSize',12);
xlabel('\leftarrow  n  \rightarrow')

Original upload log

Date/Time Dimensions User Comment
27 August 2013, 04:03:10 636 × 374 (12992 bytes) Bob K (talk · contribs) User created page with UploadWizard

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5 April 2016

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392 pixel

620 pixel

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Date/TimeThumbnailDimensionsUserComment
current00:36, 6 April 2016Thumbnail for version as of 00:36, 6 April 2016620 × 392 (41 KB)wikimediacommons>Bob KEnlarge the dots on the graph.

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