Measure devel notes

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Development notes. For the official page, please see Measure


Metadata file associated with Logs

Measure Activity logs metadata file
Filename
Filename
Filename
Logname
Logname
Logname

Log file format

sec/minute/hour/snapshot
2232
3445
stop

Draw dotted log

context.move_to(x,y)
context.arc(x,y,r,0,2*pi)


Convert #RRGGBB to an (R, G, B) tuple

colorstring = colorstring.strip()
if colorstring[0] == '#': colorstring = colorstring[1:]
r, g, b = colorstring[:2], colorstring[2:4], colorstring[4:]
r, g, b = [int(n, 16) for n in (r, g, b)]
return (r, g, b)

Get the XO colors

from sugar import profile
color=profile.get_color()
fill = color.get_fill_color()
stroke = color.get_stroke_color()

DSP

Filtering using sinc


Scaling - for scale display, and RMS values

  • I get a buffer of 16bit values (-32768 to 32768). I need to calculate the corresponding rms value of the voltage
  • The correspondence between digital domain values and physical values has been found out experimentally as
v = (m/g)*(s) + 1180   millivolts

where s is a sample value ranging from -32768 to +32768 where m = .0238(i.e. slope when all capture gains are 0dB i.e. g=1) where g is the gain introduced by capture gains. There are two such gains Mic Boost +20dB and Capture Gain. Note that g IS NOT in dB.

  • Also let k = m/g and c = 1180
  • One option is to scale each sample in voltage domain (which would come out to be a float value) to get Rv
  • The other option is to calculate RMS of all samples s and then convert result to equivalent voltage
  • Rv = sqrt(sigma(Vi^2)) / N
  • For calculating RMS of samples s and then converting to Rv
    • sigma(Vi^2) = (k^2)*(sigma(Xi^2)) + N*c^2 + 2*k*c*sigma(Xi)
    • Once we have sigma(Vi^2) we can take square root of that and divide by N