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PostPosted: Wed Oct 03, 2012 9:14 pm 
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I had formed the impression that a sine table
with quadratic interpolation is generally faster
and less resource-intensive than CORDIC
(but I never really compared the two myself)

The tables I supply don't need any interpolation, since there are 65,536 entries of 16 bits each, meaning most tables are 128KB; so a 16-bit input number gives a 16-bit output that is as accurate as 16 bits allows. Tables can be made for any function, not just trig functions.

Quote:
There's also series expansion:

Sin(z) = z - (z^3/3!) + (z^5/5!) - (z^7/7!) ...

I think you need about four terms to get 16 bits
(actually more like 20 bits)

Four is enough if you tweak the coefficients to make up. The sin & cos routines I had written in Forth only use four terms, and I experimented with the coefficients and got it such that the answer is usually correct in all bits, and in the few times it's not correct, it was only one lsb high. It's possible I did not arrive at the best set of coefficients.

My tables were not calculated this way though. For those, I used an HP hand-held computer that does it in 15 decimal digits, and rounded to the nearest answer representable in 16 bits.

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PostPosted: Fri Oct 05, 2012 12:56 pm 
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When multiplication is cheap (as on an FPGA) the polynomial methods become quite respectable. Cody & Waite's "Software Manual For The Elementary Functions" is, I think, a standard reference. There's a technique by Padé which is better than truncating power series (edit: but it costs a division, which is not so cheap as a multiplication)
(I thought this is what later versions of BBC BASIC use, but this annotated disassembly suggests "continued-fraction expansion series" - the base routine being here and called for example by the ArcTan routine.

Edit: some coefficients from Cody and Waite are tabulated here


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PostPosted: Fri Oct 05, 2012 1:13 pm 
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Another good source of trig function algorithms is Jack Crenshaw's book for real-time embedded systems. If I recall correctly, they are based on Tschebychef (some letters may be swapped without loss of significance) polynomials. I have it around here somewhere, but it's not exactly at hand.

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PostPosted: Fri Oct 05, 2012 2:40 pm 
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(edit: but it costs a division, which is not so cheap as a multiplication)

My set of look-up tables includes a 256KB table of inverses for that reason-- you can multiply by the inverse. The table has 32-bit inverses of all 16-bit unsigned numbers, so there's at least 16-bit resolution and accuracy even at the ends. If you can just look up the function though, there's no need to multiply or divide to get it.

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Another good source of trig function algorithms is Jack Crenshaw's book for real-time embedded systems. If I recall correctly, they are based on Tschebychef (some letters may be swapped without loss of significance) polynomials. I have it around here somewhere, but it's not exactly at hand.

That's the one we discussed at viewtopic.php?f=2&t=1971. I have since gotten it in the paper version. (Actually our new computer-science daughter-in-law got it for me.)

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