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% lspvar.m
% David Rowe 8 Feb 2015
%
% Experiments in reducing LSP variance in order to make quantisation easier
lsp;
close all;
graphics_toolkit ("gnuplot");
function v = det_var(s)
p = 10;
ak=lpcauto(s,p,[160 80]);
[rows cols] = size(ak);
w = zeros(rows,p);
for r=1:rows
w(r,:) = atolsp(ak(r,:));
end
v = sum(var(w));
figure;
plot(w)
end
s=load_raw("../raw/cq_ref.raw");
det_var(s)
if 1
Fs = 8000;
[b a] = cheby2(6,40,[300 2600]/(Fs/2));
s1 = filter(b,a,s);
det_var(s1)
end
% + Equalise to remove spectral slope, this reduces variance of spectral
% envelope
% + Can probably get rid of energy for many vectors too, except flat ones?
% + Or have some sort of correlation of gain with peakiness of vectors?
% + Once flattened try slicing out low energy harmonics, like post filter. How
% does this sound? Any artefacts of harmonics coming and going near
% thresholds?
% + BPF as well, it's all abt minimal information.
% + What's left? Look at it. How can it be represented? Look at tol distort,
% what quantiser will deliver that? Just position of clipped peaks?
% + fall back HF mode, no energy, voicing, just spectral information. Diveristy
% compared to FEC? Test with simulation of ideal code. Aux carrier with
% extra information to get 1300-ish quality. Coherent, pilot assisted demod.
% Low PAPR as extra carriers at lower power level. Essentially for free in
% terms of TX power.
% + What is a viable plan to get this going in a mon month or so?
% + Octave equlaisation of input files
% + take model files, simulate quantisation, back to C for synth?
% + Coherent FDM modem port to C