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|
id: fec_bercurve_generator
label: BER Curve Gen.
parameters:
- id: esno
label: Es/N0
dtype: raw
default: numpy.arange(0.0, 4.0, .5)
hide: part
- id: samp_rate
label: Sample Rate
dtype: float
default: '3200000'
- id: encoder_list
label: Encoder list
dtype: raw
default: '0'
- id: decoder_list
label: Decoder list
dtype: raw
default: '0'
- id: puncpat
label: Puncture Pat.
dtype: string
default: '''11'''
- id: threadtype
label: Threading Type
dtype: enum
options: ['"capillary"', '"ordinary"', '"none"']
option_labels: [Capillary, Ordinary, None]
hide: part
- id: seed
label: Noise Seed
dtype: int
default: '0'
hide: part
outputs:
- domain: stream
dtype: byte
multiplicity: ${ len(esno)*2 }
templates:
imports: |-
from gnuradio import fec
import numpy
make: "fec.bercurve_generator(\n\t${encoder_list}, \\#size\n\t${decoder_list},\
\ \\#name\n\t${esno}, \\#range of esnos\n\t${samp_rate}, \\#throttle\n \
\ ${threadtype}, \\#threading mode\n\t${puncpat}, \\#puncture pattern\n\
\ ${seed} \\# noise gen. seed\n)\n "
documentation: |-
Note that this block tries to launch many parallel codes to run simultaneously. Thus, it requires that the definitions for each encoder and decoder (specified in the "Encoder list" and "Decoder list") be configured with a parallelism > 0. If the parallelism for one of the encoder or decoder definition blocks is configured to 0, you will likely see an error like:
generic_decoder=decoder_list[i],
TypeError: 'generic_decoder_sptr' object does not support indexing
or
generic_encoder=encoder_list[i],
TypeError: 'generic_encoder_sptr' object does not support indexing
file_format: 1
|
