synthesizeNTF(order, OSR, opt=2,f0=0.25)

I can't synthesize NTF at center freq of 0.25, I get TypeError
TypeError: 'float' object cannot be interpreted as an integer

I folked this library and maintain in [Y-F-Acoustics/python-deltasigma] (https://github.com/Y-F-Acoustics/python-deltasigma).

This may synthesize NTF. I will try to check it can synthesize. Please paste your code which clarifies order and OSR.

I can't synthesize NTF at center freq of 0.25, I get TypeError
TypeError: 'float' object cannot be interpreted as an integer

Here's the code

order = 2
OSR = 64
H_inf = 1.5
opt = 2
f0 = 0.25

H0 = synthesizeNTF(order,OSR,opt,H_inf,f0)
subplot(121)
plotPZ(H0, markersize=5)
title('NTF Poles and Zeros')
f = np.concatenate((np.linspace(0, 0.75/OSR, 100), np.linspace(0.75/OSR, 0.5, 100)))
z = np.exp(2jnp.pif)
magH0 = dbv(evalTF(H0, z))

I'm not very good with python but I work on an electronic project and need to simulate the ADC
I tried the Matlab version and it works but I wish to use the python version

Thanks a lot!
This problem is not your fault (It was already reported on #72 ). I checked the bug on this library and fixed them on my forked repository.

If you can install and use my folked python-deltasigma, please check it and pull request.

Thanks a lot, it works.

Hi again, I'm sorry but I think the same problem exists in some functions also
It solved for synthesizeNTF but when i try to complete the code same problem up again

Here's the new code.

order = 2
OSR = 64
opt = 2
f0 = 0.25
H = synthesizeNTF(order, OSR, opt, 1.5, f0)
subplot(121)
plotPZ(H)
title('Bandpass NTF Poles and Zeros')
f = np.concatenate((np.linspace(0, f0 - 1./(2.*OSR), 50),
np.linspace(f0 - 1./ (2 * OSR), f0 + 1./(2.OSR), 100),
np.linspace(f0 + 1./(2.OSR), 0.5, 50)))
z = np.exp(2j * pi * f)
magH = dbv(evalTF(H, z))
subplot(222)
plot(f, magH)
hold(True)
G = (np.zeros((order/2,)), H[1], 1)
k = 1./np.abs(evalTF(G, np.exp(2jnp.pif0)))
G = (G[0], G[1], k)
magG = dbv(evalTF(G, z))
plot(f, magG, 'r')
figureMagic([0, 0.5], 0.05, None, [-100, 10], 10, None, (16, 8))
#axis([0, 0.5, -100, 10])
grid(True)
xlabel('Normalized frequency ($1 \rightarrow fs$)')
ylabel('dB')
title('Bandpass NTF/STF Magnitude Response')

Here's the error

In case of Python, np.zeros returns the zeros matrix like MATLAB.
So, input parameters in zeros must be integers. You can write like below,

G = (np.zeros((order//2, )), H[1], 1)
or
G = (np.zeros((np.int(order/2), )), H[1], 1)

You must be warn that the python returns float automatically like MATLAB.
For example, the formula '1/2' doesn't return '0', but '0.5'.

Ok, thanks a lot

Sorry for my poor English.