Thanks very much,
Next time I get into an argument whether we really need a 5 band EQ I
can make my point with the support of frequency plots!
I'll add it to my debug script, too.
-Urban
--
LIMITED TIME SALE - Full Year
Hi Urban,
You surmise correctly. Here is my implementation:
function [xdb] = db(x,mindb)
% [y] = db(x,mindb)
% convert x to db, optionally clipped to mindb
ax = abs(x);
xmax = max(ax(:));
if nargin<2, xmin = xmax*eps; else xmin = 10^(mindb/20); end
xdb = 20*log10(max(abs(x),xmin*ones(size(x
Hi Julius,
there is an undefined function called "db" (marked below). I guessed it
could be implemented like:
%function db(a,b)
% min(20*log10(a),b) ;
%endfunction
but I dont know octave. Can you provide the function definition?
Urban
> I always use the "pfo.m" script below ("plot faustout"
Hi,
I learned that I can view the frequency response of a filter like this:
octave:1> plot(20*log10(abs(fft(faustout,1024))(1:512,:)));
but how do I get the frequency axis to display Hz(log) ?
Can someone provide me with a octave script?
Thanks,
Urban
--
Hi Urban,
I always use the "pfo.m" script below ("plot faustout") - NOT pretty,
but handy.
- Julius
% input parameters:
if !exist('fs')
fs = 1;
freqstr = 'Normalized Frequency (cycles/sample)';
else
if fs<1000 % (Hack)
freqstr = 'Frequency (kHz)';
else
freqstr = 'Frequency
