2020-02-18 11:05:27 +00:00
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import numpy as np
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2019-12-03 23:00:54 +00:00
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lookup_tables = []
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lookup_tables_32 = []
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2020-02-18 11:05:27 +00:00
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ADC_RESOLUTION = 512
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OUTPUT_RESOLUTION = 4096
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2019-12-03 23:00:54 +00:00
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# linear to exponential conversion
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values = []
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2020-02-18 11:05:27 +00:00
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size = ADC_RESOLUTION
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2020-02-18 00:56:45 +00:00
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for x in range(1, int(size) + 1):
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2020-02-18 11:05:27 +00:00
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values.append(np.power(x / float(ADC_RESOLUTION), 2) * OUTPUT_RESOLUTION)
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2019-12-03 23:00:54 +00:00
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lookup_tables.append(('linear_to_exp', values))
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2019-12-03 23:44:46 +00:00
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# Left pan Lookup table
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2020-02-18 11:05:27 +00:00
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l_pan = np.linspace(0, OUTPUT_RESOLUTION, num=ADC_RESOLUTION)
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r_pan = np.linspace(0, OUTPUT_RESOLUTION, num=ADC_RESOLUTION)
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2019-12-03 23:44:46 +00:00
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2020-02-18 11:05:27 +00:00
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l_pan = np.sin((l_pan / OUTPUT_RESOLUTION) * (np.pi / 2.0))
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r_pan = np.cos((r_pan / OUTPUT_RESOLUTION) * (np.pi / 2.0))
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2019-12-03 23:44:46 +00:00
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2020-02-18 11:05:27 +00:00
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l_pan = np.round(l_pan * OUTPUT_RESOLUTION)
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r_pan = np.round(r_pan * OUTPUT_RESOLUTION)
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2019-12-03 23:44:46 +00:00
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lookup_tables.append(('left_sin_pan', l_pan))
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lookup_tables.append(('right_cos_pan', r_pan))
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