Abstract: A method of determining respiratory states, comprising measuring an unfiltered sound waveform emanating from an airflow through a mammalian trachea and applying time-averages to each of a plurality of respiratory phases of the unfiltered sound waveform to create normalized and unnormalized autocorrelation function (ACF) curves. Determining from the normalized and unnormalized ACF curves at least one feature from a first group of features consisting of (a) a first minimum value of the normalized ACF curve; (b) a second maximum value of the normalized ACF curve; (c) a value of the unnormalized ACF curve at zero lag; (d) variance after the normalized ACF curve second maximum value; (e) slope after the normalized ACF curve second maximum value; and (f) sum of the squares of the difference between successive normalized ACF curve maximum and minimum values. Applying a classifier to the at least one feature from the group of features.

Abstract: The invention is a method and apparatus for verifying the integrity of a smart antenna system. The simulator section replicates multiple sensors with directional and non-directional components with variables from Doppler, delay and angular spread. Hardware/software combinations simulate the line-of-sight signal, reflected signals, and refracted signals that require manipulation by the smart antenna processor to extract the temporal and spatial information of the signals of interest. The channel simulator of the present invention introduces independent variability of the most significant factors involved in the simulation; delay spread, Doppler spread, and angular spread. The simulated signals have variable numbers, amplitude, phase, delay and bearing components for representing a variety of terrain, environmental, equipment and capacity conditions for both indoor and outdoor applications.