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fazalmajid avatar fazalmajid commented on May 25, 2024

2006-Jun-13 22:45:38 by majid:

The implementation in [324] is problematic:
1: It requires a custom aggregate function implemented in Python, and thus the views will not work when run from qithin the sqlite3 CLI.
1: The aggregate function is recalculated each time the query is run, and is very computationally expensive (specially since Python functions have to be called, not the native C exp function).

To compute the SNR in a reasonable fashion, the exponentially decaying sums need to be denormalized and precomputed feed per feed (and updated via a trigger on the items table).

There is a way to approximate exponential decay while remaining compatible with base SQLite functionality, by using scaled integer arithmetic and SQLite's built-in bit-shift operators << and >>, which will accept floating point numbers as the right operand. We can do this because:

2-a-0.1*bx = 2-a(2-0.1)bx ~= (x >> a)(1 - (1>>4) - (1>>8))b ~= (x>>a) - (bx>>(a+4))

The fit of this crude approximation is shown in the figure below:

{image: approx.gif}


2006-Jun-14 00:04:03 by majid:

Or a much simpler solution: just create a lookup table for the function, to one or two decimals...

from temboz.

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