Hi Chad,
so in that case, the trick would probably be writing good unit tests!
For example, you could take the `for` loop out of your work, and put it
into a method of its own:
import numpy
from gnuradio import gr
from yall1 import *
class yall1_reconstruction_cc(gr.sync_block):
"""
Yall
Hi Chad,
thanks for re-posting your code; it's much clearer to read now.
I'm not quite sure what I'm looking at now: Is this your own
implementation of the yall1 minimization function, or something that can
be tested?
If I remember correctly, the matlab call has a matrix input, and a
"target" vect
Sorry. Something went wrong when I copied pasted it but my actual code is:
import numpyfrom gnuradio import grfrom yall1 import *
class yall1_reconstruction_cc(gr.sync_block):
"""Yall1_reconstruction_block"""
def __init__(self,n,m):
self.N = n
self.M = m
phi
Hi Chad,
there's something wrong with the indention of the lines between "def
__init__" and "g.sync_block", and the same goes for your work function;
so that's my first stab at explaining misbehaviour.
Best regards,
Marcus
On 29.10.2015 13:01, Chad R wrote:
> Good day every one
>
> I have imple
Good day every one
I have implemented a Python block but I am not getting the results I
expected. I get the results I expect at any frequency=samp_rate/2^n where n
is any integer. My block makes use of a yall1 reconstruction algorithm to
reconstruct a signal from M=100 to N=1024 vector.
The code f
