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.

OpenCV is primarily known for its extensive collection of functions for computer vision tasks, including image processing, feature detection, and object recognition.

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.

PyTorch is primarily known for its machine learning capabilities, providing support for deep learning models and efficient tensor computations.

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

TensorFlow is a popular Python library primarily used for machine learning, offering support for deep learning models and efficient tensor computations.

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

MATLAB Simulink is a graphical programming environment that enables model-based design and simulation of dynamic systems, including signal processing systems.

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

Keras is a high-level neural networks API, written in Python, that can run on top of TensorFlow or Theano. It is designed to make building and training deep learning models easier.

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