Separation of 50Hz and 100Hz Sine Waves with Wavelet Spectral Analysis Implementation

This program implements a solution for separating 50Hz and 100Hz sine waves, accompanied by an instructive implementation of wavelet spectral analysis. The algorithm likely employs digital signal processing techniques such as filtering or wavelet transform decomposition to isolate different frequency components. This program serves as a highly useful tool for separating sine waves with different frequencies. By isolating 50Hz and 100Hz sine waves, we can better understand their characteristics and behaviors through frequency domain analysis. Additionally, the program provides an illustrative implementation of wavelet spectral analysis, enabling deeper investigation into signal spectral features using multi-resolution analysis. The program design employs sophisticated algorithms and techniques for sine wave separation and wavelet spectral analysis. The implementation may involve wavelet transform functions (like MATLAB's wavedec or wpdec) for decomposing signals into different frequency bands, followed by thresholding or filtering operations to isolate specific components. Through program execution, users obtain detailed results and analyses that enhance understanding of signal characteristics and behaviors. Overall, this program represents a powerful and practical tool that facilitates sine wave research and analysis. Its implementation methodology is unique and precise, offering valuable insights and considerations. Whether in academic research or practical applications, this program serves as a highly valuable resource for signal processing tasks involving frequency separation and spectral analysis.