Wavelet Threshold Denoising: Performance Comparison of Soft, Hard, and Modern Thresholding Methods

This study comprehensively investigates wavelet threshold denoising, comparing the performance of soft thresholding, hard thresholding, and various contemporary threshold calculation methods and threshold function processing techniques. Through quantitative evaluations using signal-to-noise ratio (SNR) and mean square error (MSE) metrics, we assess the strengths and weaknesses of different algorithms, providing valuable insights for practical implementation and code optimization in signal processing applications.