This internal block diagram illustrates the internal architecture for signal detection. It starts with an input signal. It then pre-processes it to remove noise and irrelevant data. Afterward, feature extraction identifies key characteristics for analysis. A signal classifier processes these features to find signal patterns. The decision logic then evaluates the classifier's output, guiding the outcome. This output is either fed back for further refinement or sent to the system's end-user. The flow ensures accurate, fast signal detection. It optimizes speed and reliability in identifying signal attributes.