I was going through your code to see how close my tries to reconstruct the figures in the book went, and line 190 in chapter12.m caught me by surprise.

Firstly, feeding n_conv to ift is extraneous since both our inputs have been constrained to have n_conv time-points. Secondly, what explains the downscaling by a factor of 10?

Your book is fantastic! I've been cruising through it with Matlab open, as suggested. It's been smooth sailing until I reached Chapter 9. I've received a number of error messages, including 'readonly' 'toolbox required' or 'unrecognized function.'

I only have the standard Matlab 2022a for academic use. Can I continue to work through the Matlab exercises without any toolboxes? They cost over 1k, so I'd prefer to not start buying new software add-ons.

I'm trying to re-create Figure 13.5 and am receiving an error message. I've copied the code I'm using from the file and the error message I receive below. Thanks for writing such a great book!

%% Figure 13.5

% redefine time
time = -.5:1/srate:.5; % vector of time

figure

% plot real and imaginary parts of wavelet
plot(time,real(wavelet),'linew',2)
hold on
plot(time,imag(wavelet),':','linew',2)

% plot cosine and sine
plot(time,cos(2pifrequency.time),'m','linew',2)
plot(time,sin(2pi*frequency.*time),'m:','linew',2)

% plot gaussian window
gaus_win = exp(-time.^2./(2*s^2));
plot(time,gaus_win,'k')
set(gca,'ylim',[-1.2 1.2])
xlabel('Time (s)')
legend({'real part of wavelet';'imaginary part of wavelet';'cosine';'sine';'Gaussian'})

Error using plot
Vectors must be the same length.

The variable final_filt_result gets defined but is never used in chapter 14. I assume that it is supposed to be plotted after it is calculated in Figure 14.9 instead of reverse_filt. It looks like reverse_filt is close enough to symmetrical that there isn't a visible effect on the plot itself, but thought I would still mention it anyways. Thanks!