Abstract: A spherical manual and electromechanically-operated spherical massage implement which facilitates the even application of pressure to the body tissue of a client during massage therapy, including tendons, ligaments, and muscles (e.g. the gluteus maximus, gluteus medius, and the like). Variations of the invention include vibrating and heating functions, relieve sore and achy muscles, help blood circulation, relieve muscle cramps, loosen tight and knotted muscles, and relieve pressure from the massage therapist's hands.

Abstract: A spherical manual and electromechanically-operated spherical massage implement is disclosed which facilitates the even application of pressure to the body tissue of a client during massage therapy, including tendons, ligaments, and muscles (e.g. the gluteus maximus, gluteus medius, and the like). Variations of the disclosed implement comprise vibrating and heating functions. The disclosed invention relieves sore and achy muscles, helps blood circulation, relieving muscle cramps, loosening tight and knotted muscles, and relieving pressure from the massage therapist's hands.

Abstract: Methods for modeling the secondary path of an ANC system to improve convergence and tracking during noise control operation, and their associated uses are provided. In one aspect, for example, a method for modeling a secondary path for an active noise control system is provided. Such a method may include receiving a reference signal, filtering the reference signal with an initial secondary path model to obtain a filtered reference signal, calculating an autocorrelation matrix from the filtered reference signal, and calculating a plurality of eigenvalues from the autocorrelation matrix. The method may further include calculating a maximum difference between the plurality of eigenvalues and iterating a test model to determine an optimized secondary path model having a plurality of optimized eigenvalues that have a minimized difference that is less than the maximum difference of the plurality of eigenvalues, such that the optimized secondary path model may be utilized in the active noise control system.

Abstract: Methods for modeling the secondary path of an ANC system to improve convergence and tracking during noise control operation, and their associated uses are provided. In one aspect, for example, a method for modeling a secondary path for an active noise control system is provided. Such a method may include receiving a reference signal, filtering the reference signal with an initial secondary path model to obtain a filtered reference signal, calculating an autocorrelation matrix from the filtered reference signal, and calculating a plurality of eigenvalues from the autocorrelation matrix. The method may further include calculating a maximum difference between the plurality of eigenvalues and iterating a test model to determine an optimized secondary path model having a plurality of optimized eigenvalues that have a minimized difference that is less than the maximum difference of the plurality of eigenvalues, such that the optimized secondary path model may be utilized in the active noise control system.