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CMSIS-DSP

**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, ...)

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.

- 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.