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.