Python, Machine Learning, Optimization, Implementation, Theory.
Wavelet Transform is widely used in signal and image processing applications for tasks such as denoising, compression, and feature extraction. Its ability to capture local features and sharp transitions makes it well-suited for analyzing signals and images with complex structures. Conclusion Haar