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View Code? Open in Web Editor NEWpython implementations of Analyzing Neural Time Series Textbook
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smartinsightsfromdata pswhitehead dongqunxi mathematixy stfnrpplngr heqing-psychology arunnairid akansal1 hejtmy arppa99100 kaihwang jmdelahanty thecobb nehgu armenr igbssz kabuki4774 mesca jetw xqian37 petro-forks r91522831 hauselin mlearnx satpreetsingh timopheym chenchals joseluisulloafulgeri pronoychopra shubhampachori12110095 ys7yoo sszhang6 franksalas ljchang vanshaj2372 leozhng intanintanintan ppraykov ahmadghaza astralfreak hzam clara1989 pavloshargan robreys sherkhan15 danielemarinazzo sreekarreddy21 node9909 fintrek lkatsouri cuckoong wzvera andrefmsmith bci-hardware drsiyarb sirpalp mfvd carollas myvitriol sreevalsansmenon mwprestonjr kaifyam nian-jingqing paul30402 yanyu96 zhujunling65 alina991 busenurk adawang2020 robbietree8 eegkit kareemshalabi yueyingdong weiming1122analyzing_neural_time_series's Issues
what is the sample frequency of EEG data?
[Not an Issue] fft and ifft functions take an axis parameter, more efficient than reshaping
Numpy uses row order bytes by default. when a reshape operation is done on an array, byte reordering ( changing into column major; order='F') can be costly in terms of memory ( a new contagious array is filled with the reordered elements) and execution speed.
Numpy's Fourier functions take an axis parameter. By default, the last axis(-1) is Fourier transformed with parameter (N; signal length) being cropped or padded along that axis. This might help when dealing with large number of trials.
ch. 11 problem
Hi. Thanks for your code!
I would like to ask. In Ch.11, when I run this:
ax = fig.add_subplot(222, projection='3d')
ax.plot(frequencies,np.angle(fourier[:N/2+1]),zs=np.absolute(fourier[:N/2+1])**2)
ax.view_init(20, 20)
ax.set_xlabel('Frequency (Hz)')
ax.set_ylabel('Phase')
ax.set_zlabel('Power')
plt.title("3D representation of the Fourier transform")
I get the following error:
slice indices must be integers or None or have an index method
Perhaps there is come changes in Python 3?
Thanks!
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