Wavelet Modulus Maxima Denoising Algorithm Implementation

The program implements signal denoising using the wavelet modulus maxima denoising algorithm, which effectively filters out impulse noise to significantly improve signal quality and clarity. The algorithm accurately detects noise components within signals through wavelet transform modulus maxima analysis and performs targeted removal, resulting in smoother and more stable output signals. By optimizing algorithm parameters and employing efficient computational methods, the program enables real-time signal processing with enhanced speed and efficiency. The implementation includes key functions such as wavelet decomposition, modulus maxima detection, threshold calculation, and signal reconstruction. Additionally, the program features excellent scalability and adaptability, making it suitable for various types of signal denoising applications. In summary, this program not only effectively eliminates impulse noise from signals but also demonstrates high efficiency, accuracy, and extensibility, serving as a highly practical tool for signal processing tasks.