CORDIC Algorithm Implementation in MATLAB

The document discusses the MATLAB implementation of the CORDIC algorithm. CORDIC is a widely-used algorithm in computer science and mathematics, employing iterative rotations to calculate trigonometric functions, hyperbolic functions, and other mathematical operations without requiring hardware multipliers. The algorithm finds applications in diverse fields including digital signal processing, image processing, and computer graphics. Due to its efficiency and rapid convergence, CORDIC has become extensively adopted in various computational applications.

For MATLAB implementation, users can leverage built-in functions or create custom scripts to utilize CORDIC's capabilities more effectively. MATLAB, as a high-level programming language and interactive environment, provides excellent support for numerical computations, data analysis, and visualization. Integrating CORDIC with MATLAB enhances computational precision and efficiency through vectorized operations and optimized mathematical libraries. The implementation typically involves defining rotation modes (circular, linear, or hyperbolic), specifying iteration counts, and handling scaling factors. MATLAB's debugging tools and graphical capabilities further facilitate code testing and verification, thereby improving development productivity and algorithm optimization. Key functions may include cordicrotate for vector rotations and cordicsincos for trigonometric calculations, with proper handling of angle normalization and scaling compensation.