Development mbed library for MAX32630FTHR

Dependents:   blinky_max32630fthr

Committer:
switches
Date:
Fri Nov 11 20:59:50 2016 +0000
Revision:
0:5c4d7b2438d3
Initial commit

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switches 0:5c4d7b2438d3 1 """
switches 0:5c4d7b2438d3 2 mbed SDK
switches 0:5c4d7b2438d3 3 Copyright (c) 2011-2013 ARM Limited
switches 0:5c4d7b2438d3 4
switches 0:5c4d7b2438d3 5 Licensed under the Apache License, Version 2.0 (the "License");
switches 0:5c4d7b2438d3 6 you may not use this file except in compliance with the License.
switches 0:5c4d7b2438d3 7 You may obtain a copy of the License at
switches 0:5c4d7b2438d3 8
switches 0:5c4d7b2438d3 9 http://www.apache.org/licenses/LICENSE-2.0
switches 0:5c4d7b2438d3 10
switches 0:5c4d7b2438d3 11 Unless required by applicable law or agreed to in writing, software
switches 0:5c4d7b2438d3 12 distributed under the License is distributed on an "AS IS" BASIS,
switches 0:5c4d7b2438d3 13 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
switches 0:5c4d7b2438d3 14 See the License for the specific language governing permissions and
switches 0:5c4d7b2438d3 15 limitations under the License.
switches 0:5c4d7b2438d3 16 """
switches 0:5c4d7b2438d3 17 from numpy import sin, arange, pi
switches 0:5c4d7b2438d3 18 from scipy.signal import lfilter, firwin
switches 0:5c4d7b2438d3 19 from pylab import figure, plot, grid, show
switches 0:5c4d7b2438d3 20
switches 0:5c4d7b2438d3 21 #------------------------------------------------
switches 0:5c4d7b2438d3 22 # Create a signal for demonstration.
switches 0:5c4d7b2438d3 23 #------------------------------------------------
switches 0:5c4d7b2438d3 24 # 320 samples of (1000Hz + 15000 Hz) at 48 kHz
switches 0:5c4d7b2438d3 25 sample_rate = 48000.
switches 0:5c4d7b2438d3 26 nsamples = 320
switches 0:5c4d7b2438d3 27
switches 0:5c4d7b2438d3 28 F_1KHz = 1000.
switches 0:5c4d7b2438d3 29 A_1KHz = 1.0
switches 0:5c4d7b2438d3 30
switches 0:5c4d7b2438d3 31 F_15KHz = 15000.
switches 0:5c4d7b2438d3 32 A_15KHz = 0.5
switches 0:5c4d7b2438d3 33
switches 0:5c4d7b2438d3 34 t = arange(nsamples) / sample_rate
switches 0:5c4d7b2438d3 35 signal = A_1KHz * sin(2*pi*F_1KHz*t) + A_15KHz*sin(2*pi*F_15KHz*t)
switches 0:5c4d7b2438d3 36
switches 0:5c4d7b2438d3 37 #------------------------------------------------
switches 0:5c4d7b2438d3 38 # Create a FIR filter and apply it to signal.
switches 0:5c4d7b2438d3 39 #------------------------------------------------
switches 0:5c4d7b2438d3 40 # The Nyquist rate of the signal.
switches 0:5c4d7b2438d3 41 nyq_rate = sample_rate / 2.
switches 0:5c4d7b2438d3 42
switches 0:5c4d7b2438d3 43 # The cutoff frequency of the filter: 6KHz
switches 0:5c4d7b2438d3 44 cutoff_hz = 6000.0
switches 0:5c4d7b2438d3 45
switches 0:5c4d7b2438d3 46 # Length of the filter (number of coefficients, i.e. the filter order + 1)
switches 0:5c4d7b2438d3 47 numtaps = 29
switches 0:5c4d7b2438d3 48
switches 0:5c4d7b2438d3 49 # Use firwin to create a lowpass FIR filter
switches 0:5c4d7b2438d3 50 fir_coeff = firwin(numtaps, cutoff_hz/nyq_rate)
switches 0:5c4d7b2438d3 51
switches 0:5c4d7b2438d3 52 # Use lfilter to filter the signal with the FIR filter
switches 0:5c4d7b2438d3 53 filtered_signal = lfilter(fir_coeff, 1.0, signal)
switches 0:5c4d7b2438d3 54
switches 0:5c4d7b2438d3 55 #------------------------------------------------
switches 0:5c4d7b2438d3 56 # Plot the original and filtered signals.
switches 0:5c4d7b2438d3 57 #------------------------------------------------
switches 0:5c4d7b2438d3 58
switches 0:5c4d7b2438d3 59 # The first N-1 samples are "corrupted" by the initial conditions
switches 0:5c4d7b2438d3 60 warmup = numtaps - 1
switches 0:5c4d7b2438d3 61
switches 0:5c4d7b2438d3 62 # The phase delay of the filtered signal
switches 0:5c4d7b2438d3 63 delay = (warmup / 2) / sample_rate
switches 0:5c4d7b2438d3 64
switches 0:5c4d7b2438d3 65 figure(1)
switches 0:5c4d7b2438d3 66 # Plot the original signal
switches 0:5c4d7b2438d3 67 plot(t, signal)
switches 0:5c4d7b2438d3 68
switches 0:5c4d7b2438d3 69 # Plot the filtered signal, shifted to compensate for the phase delay
switches 0:5c4d7b2438d3 70 plot(t-delay, filtered_signal, 'r-')
switches 0:5c4d7b2438d3 71
switches 0:5c4d7b2438d3 72 # Plot just the "good" part of the filtered signal. The first N-1
switches 0:5c4d7b2438d3 73 # samples are "corrupted" by the initial conditions.
switches 0:5c4d7b2438d3 74 plot(t[warmup:]-delay, filtered_signal[warmup:], 'g', linewidth=4)
switches 0:5c4d7b2438d3 75
switches 0:5c4d7b2438d3 76 grid(True)
switches 0:5c4d7b2438d3 77
switches 0:5c4d7b2438d3 78 show()
switches 0:5c4d7b2438d3 79
switches 0:5c4d7b2438d3 80 #------------------------------------------------
switches 0:5c4d7b2438d3 81 # Print values
switches 0:5c4d7b2438d3 82 #------------------------------------------------
switches 0:5c4d7b2438d3 83 def print_values(label, values):
switches 0:5c4d7b2438d3 84 var = "float32_t %s[%d]" % (label, len(values))
switches 0:5c4d7b2438d3 85 print "%-30s = {%s}" % (var, ', '.join(["%+.10f" % x for x in values]))
switches 0:5c4d7b2438d3 86
switches 0:5c4d7b2438d3 87 print_values('signal', signal)
switches 0:5c4d7b2438d3 88 print_values('fir_coeff', fir_coeff)
switches 0:5c4d7b2438d3 89 print_values('filtered_signal', filtered_signal)