Harold J Brooks Deceased4 Mccabe Ct, North Andover, MA 01845

2004005, Mar 25, 2004

Sep 20, 2002

10/251147

Henry Fox - Harleysville PA, US
Harold Brooks - Coopersburg PA, US

B42D015/00

283/101000

A substrate such as a promotional brochure or product container is provided with an insert holder. A preferably transparent an oversheet is attached to the substrate over an insert such as a folded product information sheet. The oversheet is affixed directly to the substrate by adhesive around a peripherally surrounding the insert, at lest on two opposite margins or edges straddling the insert. A zone is defined on the oversheet over the insert where the oversheet is nonadhesive. The oversheet can capture an inserted item, such as a folded product information sheet, which is intended to be extracted by a consumer by tearing away a portion of the oversheet or by laterally extracting the insert. The oversheet preferably is substantially clear and the edge strips are perforated. A process is disclosed wherein the oversheet provided on a label roll with a killed adhesive zone, and is applied on a production line using a label applicator and series of rollers.

5757309, May 26, 1998

Dec 18, 1996

8/769721

Harold Aurelius Brooks - Alexandria VA
Duane Roth - Ridgecrest CA
David Leslie Reade - Ridgecrest CA

The United States of America as represented by the Secretary of the Navy - Washington DC

G01S 7292

342 90

An iterative process to determine the wavelet function and combination of ales of the function which provides data where there is a large separability compared to the separability of the data set prior to processing. Wavelets are selected for inclusion in a library in accordance with predetermined criteria and then applied to a digitized signal by convolution to perform digital filtering. The convolution of each wavelet is performed for the number of times dictated by the coefficients of the wavelet for each of the input signal samples. Separability of the wavelet implemented digital filtration is calculated as a percentage for each wavelet. The separation data is stored in memory until the iterative process is applied to all wavelets. The separability data is then examined to identify the wavelet producing the greatest separation. The data separability is estimated using a likelihood ratio after the probability densities for each of two sets of profile data are estimated.