CS Compressive Sensing GPRS Algorithm Documentation, Simulation and Validation

In this documentation, I will thoroughly explore the details of the CS compressive sensing GPRS algorithm, covering its theoretical foundation, simulation implementation, and result validation. I will provide complete GPRS algorithm routines with code-level explanations to help readers better understand its practical applications and implementation methodologies. The documentation will include step-by-step breakdowns of the algorithm workflow, model construction approaches, data compression sensing and reconstruction techniques, and comprehensive validation procedures for algorithm performance. Key implementation aspects will cover sparse representation methods, measurement matrix design, and reconstruction algorithms such as orthogonal matching pursuit (OMP) or basis pursuit. Additionally, I will present real-world application case studies demonstrating the algorithm's effectiveness in practical scenarios, along with discussions on future research directions. This documentation aims to provide valuable insights for researchers and engineers interested in GPRS algorithm development and optimization.