Data processing system for denoising of signals in real-time using the wavelet transform

This paper describes a system able to acquire, process and eliminate noise in continuous streams of data in real-time. The signal processing algorithms were based on the discrete wavelet transform and employ a new approach to deal with border problems, allowing to process the data continuously. The system was implemented using a DSP coupled to a digitizer through its external memory bus to guarantee deterministic behavior while maintaining some degree of flexibility in its configuration. The achieved performance and potential applications are discussed at the end of the text.