Method and system for real-time signal classification

Abstract

A method to achieve an accurate, extremely low power state classification implementation is disclosed. Embodiments include a sequence that matches the data flow from the sensor transducer, through analog filtering, to digital sampling, feature computation, and classification.

1 . A method for real-time signal classification, the method to be executable on a low-power processor, the method comprising:
 providing a managed bandwidth signal;   establishing a time bound for executing steps in the method;   windowing, within the time bound, the managed bandwidth signal to produce a vector;   performing, within the time bound, feature computation using fixed point arithmetic on the vector to produce a model-compatible vector;   projecting, within the time bound, the model-compatible vector having a first multi-dimensional factor space onto a second multi-dimensional factor space where the second multi-dimensional factor space is smaller than the first multi-dimensional factor space to produce a lower dimensional factor vector; and   evaluating, within the time bound and using log representations, the lower dimensional factor vector against a model to produce a classification result.   
     
     
         2 - 18 . (canceled)