Abstract: Partitioned signal processing systems and methods featuring substantial flexibility and cost effective implementations is presented. The architecture of the systems and methods of the present invention can be divided into a plurality of modules having manual and automatic methods. The modules can be implemented by both analog and digital designs, can be designed together or dispersed across a network, and can be dynamically reconfigured via software. These modules include a user interface, an input signal processor, an adaptive compander, a volume control and pre-mixer, an output signal processor, a noise extractor, a transform engine, a statistical analysis engine, and a calibrator/annunciator. The manual methods include methods to establish dynamic range mapping. The automatic methods include methods to establish dynamic range mapping, a method to maintain dynamic range mapping, a method to adjust dynamic range mapping in the presence of noise, and a method for intelligent volume control.

Abstract: A method and system for monitoring, maintaining and analyzing statistical performance information in a signal processing system includes collecting data representing a plurality of aspects of the signal processing system, developing a histogram representative of the data in accordance with a chosen algorithm, and analyzing historical histogram data to generate condition signals for use by the signal processing system.