CMSIS-DSP is an open-source software library that implements common compute processing functions optimized for use on Arm Cortex-M and Cortex-A processors. The library covers such compute categories as (list not exhaustive):
- Basic mathematics (real, complex, quaternion, linear algebra, fast math functions)
- DSP (filtering)
- Transforms (FFT, MFCC, DCT)
- Statistics
- Classical ML (Support Vector Machine, Distance functions for clustering, ...)
Access to CMSIS-DSP
CMSIS-DSP is actively maintained in a GitHub repository and is released as a standalone package in the CMSIS-Pack format.
Key Features and Benefits
- CMSIS-DSP covers a broad set of compute functions common for use in embedded systems.
- Supports operations on 8-bit integers, 16-bit integers, 32-bit integer and 32-bit floating-point values.
- Provides vectorized versions of most algorthms for Arm Helium Technology and of most f32 algorithms for Arm Neon Technology.
- Includes test framework.
- Provides examples demonstating how to use the library functions.