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.

• CMSIS-DSP GitHub Repo provides the full source code of CMSIS-DSP functions.
• CMSIS-DSP Documentation explains how to use the library and describes the implemented functions in details.
• CMSIS-DSP Pack delivers CMSIS-DSP components and examples in 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.