Kalman Filtering: An algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, to produce estimates of unknown variables. Wavelet Transform: A mathematical technique that decomposes a signal into different frequency components and analyzes each component with a resolution matched to its scale. Machine Learning Algorithms: Techniques such as neural networks and support vector machines to predict and filter out noise from complex datasets.
