Skip to content

Latest commit

 

History

History
51 lines (34 loc) · 1.68 KB

README.md

File metadata and controls

51 lines (34 loc) · 1.68 KB

Fast tangent and secant approximation

  • Input range (-π/4, π/4) expressed as binary angle measurement (0xe000, 0xffff] U [0x0000, 0x2000)
  • 512 byte lookup table (256b each for tangent and secant)
  • Q18 Fixed-point result accurate within 2 bits

Table generation

gen_values.py

  • Use lolremez Remez Method library to generate polynomial of degree 2 for 32 divisions of input range
  • Incorporate fixed-point shift and base offset into constant term

gen_array.py

  • Pack coefficients into 8 bytes per division
  • Output C++ header with array and constants

Full-range arctan2 using CORDIC

  • Output angle expressed as binary angle measurement [0x0, 0xffff]
  • 10 iterations of CORDIC vectoring mode to find angle
  • Angle accurate to within 5 bits (32 / 0x10000 approx. 0.0031 rad)
  • Hypotenuse optional
    • Calculated by dividing result x by gain $\prod_{i=0}^{9} \sqrt{1 + 2^{-2 \cdot i}} \approx 1.64676$

Branchless ARMv4 implementation

Tangent

  • 16 ALU operations
  • 1 multiply and 1 multiply-accumulate operation
  • 2 load operations
  • Completes in 30 cycles including return (on system with 1 cycle word read)

Secant

  • Same polynomial evaluation core as tangent
  • 3 cycles to adjust input followed by tangent core, 33 cycles

Arctangent

  • 89 cycles including return, all ALU

    • 12 cycles for input adjustment to range (-π/4, π/4)
    • 75 cycles for 10 CORDIC iterations
    • 2 cycles for negative angle adjustment
  • 3 cycles for Q8 hypotenuse gain adjustment (if used)

    • See header for hypotenuse use and gain adjustment

ARMv4 source including table