On 29.09.2015 08:21, Chad R wrote:
> which I would expect to take in an N length vector and return an M
> length vector. However my input vector, in0. Seems to be arbitarially
> (random number, N) in size. The random number is a multiple of four
> which I presume is due to the data type. I have mat
Good day everyone
Could some please explain to me where I'm missinterpreting how to implement
a block. My block code is
import numpy as np
from gnuradio import gr
class compress_ff(gr.sync_block):
"""
Compressing Block
"""
def __init__(self, n, m):
global phi
N = n
M
