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Spectral Rotation of Real Signals

Note that if we *rotate*the spectrum of a real signal by half a bin, we obtain positive-frequency samples and negative-frequency samples, with no sample at dc or at the Nyquist limit. This is typically desirable for audio signals because dc is inaudible and the Nyquist limit is a degenerate point of the spectrum that, for example, cannot have a phase other than 0 or . If is a power of 2, then so is , and the octave-band partitioning of the previous subsection can be applied separately to each half of the spectrum:

N = 32; x = randn(1,N); % Specific example LN = round(log2(N)); % number of octave bands shifter = exp(-j*pi*[0:N-1]/N); % half-bin xs = x .* shifter; % apply spectral shift X = fft(xs,N); % project xs onto rotated basis XP = X(1:N/2); % positive-frequency components XN = X(N:-1:N/2+1); % neg.-frequency components YP = dcells(XP); % partition to octave bands YN = dcells(XN); % ditto for neg. frequencies YPe = dcells2spec(YP); % unpack "dyadic cells" YNe = dcells2spec(YN); % unpack neg. freqs YNeflr = fliplr(YNe); % undo former flip ys = ifft([YPe,YNeflr],N,2); y = real(ones(LN,1)*conj(shifter) .* ys); % = octave filter-bank signals (real) yr = sum(y); % filter-bank sum (should equal x) yrerr = x - yr; disp(sprintf(... 'Total filter-bank sum L2 error = %0.2f %%',... 100*norm(yrerr)/norm(x)));In the above listing, the function

`dcells`

^{11.21}simply forms a cell array in matlab containing the spectral partition (``dyadic cells''). The function

`dcells2spec`

^{11.22}is the inverse of

`dcells`, taking a spectral partition and unpacking it to produce a usual spectrum vector.

**Next Section:**

Improving the Octave Band Filters

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Fast Octave Filter Banks