Libraries for Signal Processing

NumPy is a fundamental library in Python for scientific computing, providing support for multi-dimensional arrays and various mathematical operations.

SciPy offers a comprehensive set of functions for signal processing, including filtering, convolution, and spectral analysis.

Armadillo is a C++ library specifically designed for linear algebra and numerical computations, making it suitable for demanding signal processing tasks.

The Signal Processing Toolbox in MATLAB provides a comprehensive set of tools for signal analysis, filtering, and spectral estimation.

GNU Radio is renowned for its capabilities in real-time signal processing, enabling the development of software-defined radios and other real-time signal processing systems.

LibROSA is a Python library tailored for audio signal processing, offering functions for feature extraction, music analysis, and audio effects.

Eigen is a C++ library specializing in linear algebra operations, making it suitable for demanding scientific computing tasks.

The Audio System Toolbox in MATLAB provides specialized functions for audio signal processing, including audio analysis, synthesis, and effects.

PyRadar is a Python library dedicated to radar signal processing, providing functions for radar data analysis, visualization, and filtering.

Boost is a collection of C++ libraries that provide a wide range of numerical algorithms and data structures, including those useful for signal processing.