| Developer(s) | Ben Brewer | 
|---|---|
| Stable release | r64
   /    February 2, 2012 | 
| Repository | |
| Written in | C99 | 
| Operating system | Cross-platform | 
| Type | fixed-point math library | 
| License | MIT | 
| Website | code  | 
libfixmath is a platform-independent fixed-point math library aimed at developers wanting to perform fast non-integer math on platforms lacking a (or with a low performance) FPU. It offers developers a similar interface to the standard math.h functions for use on Q16.16 fixed-point numbers. libfixmath has no external dependencies other than stdint.h and a compiler which supports 64-bit integer arithmetic (such as GCC).[1] Conditional compilation options exist to remove the requirement for a 64-bit capable compiler as many compilers for microcontrollers and DSPs do not support 64-bit arithmetic.[2]
History
libfixmath was developed by Ben Brewer and first released publicly as part of the Dingoo SDK.[3] It has since been used to implement a software 3D graphics library called FGL.[4]
Q16.16 functions
| Name | Description | 
|---|---|
| fix16_acos | inverse cosine | 
| fix16_asin | inverse sine | 
| fix16_atan | one-parameter inverse tangent | 
| fix16_atan2 | two-parameter inverse tangent | 
| fix16_cos | cosine | 
| fix16_exp | exponential function | 
| fix16_sin | sine | 
| fix16_sqrt | square root | 
| fix16_tan | tangent | 
| fix16_mul | multiplication | 
| fix16_div | division | 
| fix16_sadd | saturated addition | 
| fix16_smul | saturated multiplication | 
| fix16_sdiv | saturated division | 
Other functions
| Name | Description | 
|---|---|
| fix16_to_dbl | Convert Q16.16 to a double | 
| fix16_to_float | Convert Q16.16 to a float | 
| fix16_to_int | Convert Q16.16 to an integer | 
| fix16_from_dbl | Convert double to a Q16.16 | 
| fix16_from_float | Convert float to a Q16.16 | 
| fix16_from_int | Convert integer to a Q16.16 | 
Performance
For the most intensive function (atan2) benchmark results show the following results:
| Name | Time Compared to Float | 
|---|---|
| ARM Cortex-M0 | 26.3% | 
| Marvell PXA270 (ARM) @ 312 MHz | 58.45% | 
| Intel T5500 | 120% | 
| Intel Atom N280 | 141% | 
Note: These results were calculated using fixtest with caching optimizations turned off.[5]
Licensing
libfixmath is released under the MIT License, a permissive free software licence, and is free software.