MATLAB Implementation of Sine Interpolation Algorithm

The implementation of the sine interpolation algorithm is based on MATLAB code from an IEEE paper. In this paper, the author provides a detailed explanation of the principles and methodology behind sine interpolation, accompanied by practical code examples. Sine interpolation is a widely-used signal processing technique applicable to scenarios such as signal reconstruction and waveform generation. The algorithm enables high-precision signal reconstruction and generation through mathematical interpolation of sinusoidal functions. The IEEE paper includes MATLAB code demonstrating key implementation aspects, likely involving function definitions for sine wave generation, sampling rate adjustments, and phase alignment calculations. Typical implementation steps may include: defining input parameters (frequency, amplitude, phase), creating sample points, applying interpolation formulas, and visualizing results using plot() functions. The author conducts comprehensive performance analysis and evaluation of the algorithm, verifying its effectiveness and reliability through metrics like signal-to-noise ratio (SNR) calculations and computational efficiency tests. For those interested in sine interpolation algorithms, studying both the paper and its referenced code provides valuable insights for practical implementation and customization according to specific application requirements.