Wiener Filter

The Wiener filter is a classic signal processing technique aiming to optimally estimate a desired signal from noisy observations by minimizing mean squared error. Current research focuses on integrating Wiener filters within hybrid architectures combining deep neural networks (DNNs) and traditional signal processing, particularly for efficient speech enhancement and image/video processing tasks. These hybrid approaches leverage DNNs to estimate filter parameters or refine outputs, achieving improved performance and computational efficiency compared to either method alone, with applications ranging from smart glasses to medical imaging. This renewed interest stems from the need for computationally lightweight yet high-performing solutions in resource-constrained environments and real-time applications.