This project aims to validate an approach to the identification and classification of digital signals (temporal series) and of the imbedded forms or patterns, using non-linear operators from mathematical morphology and chaotic theory, in special, the phase space.
Results already obtained point to a research and development subject able to produce new tools for signal processing.
This project can be divided in several steps:
At first, various types of signals together with their intended purpose will be studied. Follows the construction of a platform for signal processing, where both classical and project specific approaches will be integrated.
Next step is the testing, validation and refining of the process.
Performance evaluation and public discussion will be the final stage.
Project Objectives
To support the cooperation work between electronics and medical teams, developing of an application that will increase the know-how and tools on non-linear approach, by the range of a cases to be studied. Development of a theory for signal and image processing, particularly medical and other natural signals, based on non-linear operators and chaotic theory, for a better wide comprehension of their behaviors. It is aimed to verify and validate the existence of a general transform that allows the division of input signals in families of chaotic, and non chaotic series, each of them with a specific meaning. This may lead to a general use computer application for testing, that validates this approach. The software will be distributed in electronic version, to evaluate its impacts and usefulness.