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Sensor fusion is the process of combining data from multiple sensors to create a more consistent, reliable, and meaningful information framework. In this process, sensor data that are limited or uncertain when evaluated individually are integrated using appropriate mathematical and statistical methods to produce state estimates that individual sensors cannot provide. Sensor fusion does not only encompass simultaneous measurements from different types of sensors but also includes the integration

Optimal signal estimation is a process that employs mathematical and statistical methods to infer the true state of a system from observed signal data. This approach has been developed to provide the closest possible estimate to the actual signal value despite uncertainties such as measurement and modeling errors. Optimal signal estimation is critically important in many fields including control systems, communications, radar, finance, and biomedical engineering. In particular, when different sy