CPHASE

CPhase is a computational framework designed for the analysis and manipulation of phase information in digital signal processing and communications engineering. Developed initially in the early 2010s by a consortium of research institutions, the toolbox provides a suite of algorithms for phase unwrapping, estimation, and synthesis, and is implemented primarily in the C programming language, which gives it high performance and portability across platforms.

The core functionality of CPhase includes fast Fourier transform (FFT) based phase extraction, robust phase unwrapping techniques that mitigate 2π ambiguities, and adaptive filtering methods for noise reduction in phase‑dependent measurements. These capabilities are applied in a range of fields such as synthetic aperture radar (SAR) imaging, optical interferometry, and coherent communication systems where precise phase recovery is critical.

CPhase is distributed under an open‑source license, allowing researchers to modify and extend the code base. The project architecture follows a modular design: input data handling, processing kernels, and output modules can be linked independently, facilitating integration with existing signal‑processing pipelines. Documentation provides example applications in radar signal simulation, fiber‑optic sensor calibration, and quantum‑state tomography.

Since its release, CPhase has been cited in numerous peer‑reviewed articles and incorporated into commercial software packages for remote sensing and medical imaging. Ongoing development focuses on GPU acceleration, support for multi‑dimensional data sets, and enhanced algorithms for phase singularity detection. The framework remains a widely used resource for engineers and scientists requiring accurate and efficient phase processing tools.