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proxmark3/fpga/tests/plot_edgedetect.py

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New LF edge detection algorithm + lowpass filter This is a new LF edge detection algorithm for the FPGA. - It uses a low-pass IIR filter to clean the signal (see https://fail0verflow.com/blog/2014/proxmark3-fpga-iir-filter.html) - The algorithm is able to detect consecutive peaks in the same direction - It uses an envelope follower to dynamically adjust the peak thresholds - The main threshold used in the envelope follower can be set from the ARM side fpga/lf_edge_detect.v, fpga/lp20khz_1MSa_iir_filter.v, fpga/min_max_tracker.v: New file. fpga/lo_edge_detect.v, fpga/fpga_lf.v: Modify accordingly. armsrc/apps.h (FPGA_CMD_SET_USER_BYTE1, FPGA_CMD_SET_EDGE_DETECT_THRESHOLD): New FPGA command. fpga/fpga_lf.v: Modify accordingly/Add a 8bit user register. fpga/fpga_lf.bit: Update accordingly. fpga/tests: New directory for testbenches fpga/tests/Makefile: New file. It compiles the testbenches and runs all the tests by default (comparing with the golden output) fpga/tests/tb_lp20khz_1MSa_iir_filter.v, fpga/tests/tb_min_max_tracker.v, fpga/tests/tb_lf_edge_detect.v: New testbenches fpga/tests/plot_edgedetect.py: New script to plot the results from the edge detection tests. fpga/tests/tb_data: New directory for data and golden outputs
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#!/usr/bin/env python
#-----------------------------------------------------------------------------
# Copyright (C) 2014 iZsh <izsh at fail0verflow.com>
#
# This code is licensed to you under the terms of the GNU GPL, version 2 or,
# at your option, any later version. See the LICENSE.txt file for the text of
# the license.
#-----------------------------------------------------------------------------
import numpy
import matplotlib.pyplot as plt
import sys
if len(sys.argv) != 2:
scripts: fix mix of spaces & tabs
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print "Usage: %s <basename>" % sys.argv[0]
sys.exit(1)
New LF edge detection algorithm + lowpass filter This is a new LF edge detection algorithm for the FPGA. - It uses a low-pass IIR filter to clean the signal (see https://fail0verflow.com/blog/2014/proxmark3-fpga-iir-filter.html) - The algorithm is able to detect consecutive peaks in the same direction - It uses an envelope follower to dynamically adjust the peak thresholds - The main threshold used in the envelope follower can be set from the ARM side fpga/lf_edge_detect.v, fpga/lp20khz_1MSa_iir_filter.v, fpga/min_max_tracker.v: New file. fpga/lo_edge_detect.v, fpga/fpga_lf.v: Modify accordingly. armsrc/apps.h (FPGA_CMD_SET_USER_BYTE1, FPGA_CMD_SET_EDGE_DETECT_THRESHOLD): New FPGA command. fpga/fpga_lf.v: Modify accordingly/Add a 8bit user register. fpga/fpga_lf.bit: Update accordingly. fpga/tests: New directory for testbenches fpga/tests/Makefile: New file. It compiles the testbenches and runs all the tests by default (comparing with the golden output) fpga/tests/tb_lp20khz_1MSa_iir_filter.v, fpga/tests/tb_min_max_tracker.v, fpga/tests/tb_lf_edge_detect.v: New testbenches fpga/tests/plot_edgedetect.py: New script to plot the results from the edge detection tests. fpga/tests/tb_data: New directory for data and golden outputs
2014-06-22 06:26:38 +08:00
BASENAME = sys.argv[1]
nx = numpy.fromfile(BASENAME + ".time")
def plot_time(dat1):
plt.plot(nx, dat1)
sig = open(BASENAME + ".filtered").read()
sig = map(lambda x: ord(x), sig)
min_vals = open(BASENAME + ".min").read()
min_vals = map(lambda x: ord(x), min_vals)
max_vals = open(BASENAME + ".max").read()
max_vals = map(lambda x: ord(x), max_vals)
states = open(BASENAME + ".state").read()
states = map(lambda x: ord(x) * 10 + 65, states)
toggles = open(BASENAME+ ".toggle").read()
toggles = map(lambda x: ord(x) * 10 + 80, toggles)
high = open(BASENAME + ".high").read()
high = map(lambda x: ord(x), high)
highz = open(BASENAME + ".highz").read()
highz = map(lambda x: ord(x), highz)
lowz = open(BASENAME + ".lowz").read()
lowz = map(lambda x: ord(x), lowz)
low = open(BASENAME + ".low").read()
low = map(lambda x: ord(x), low)
plot_time(sig)
plot_time(min_vals)
plot_time(max_vals)
plot_time(states)
plot_time(toggles)
plot_time(high)
plot_time(highz)
plot_time(lowz)
plot_time(low)
plt.show()
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