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Meany

Danni Li Meany, Baltimore, MD US

Patent application numberDescriptionPublished
20110129849DETECTION OF PROSTATE CANCER USING PSA GLYCOSYLATION PATTERNS - The present invention features novel methods for determining if a subject has prostate cancer. The present invention is based on the development of lectin immunosorbant assays which analyze α2,6-linked sialylation of total serum PSA by 06-02-2011

James J. Meany, Des Peres, MO US

Patent application numberDescriptionPublished
20090041021Method And Computer Program Product For Compressing Time-Multiplexed Data And For Estimating A Frame Structure Of Time-Multiplexed Data - A method and computer program product are provided for compressing and, in turn, for estimating the frame structure of time-multiplexed data. The time-multiplexed data may be received without an indication of the frame structure for the time-multiplexed data. As such, the frame structure of the time-multiplexed data may be estimated and the time-multiplexed data may be compressed at least partially in accordance with the estimation of the frame structure. The frame structure may be estimated by representing an estimation of frame structure with a tree structure. The tree structure may include a plurality of leaf nodes associated with a respective estimated signal sequence with a respective sampling rate and interleave location. The tree structure may include a plurality of tree branches with the estimation of the frame structure including at least one of splitting or merging tree branches.02-12-2009
20090041365Method And Computer Program Product For Compressing And Decompressing Imagery Data - Techniques are provided for compressing and decompressing image data which may reduce the distortion that may otherwise be created by the compression of data values representative of null posts, overlays or other features that differ from the underlying image. In compression, at least one coefficient generated by a forward wavelet transform may be replaced with respective replacement coefficients. The transformed image data is then subjected to an inverse wavelet transform to generate modified image data in which the data values which differ from the underlying image have been replaced by interpolated or extrapolated values. The modified image data may be compressed in accordance with wavelet-based image compression. Alternatively, wavelet image compression may be applied directly to the coefficients resulting from the modified forward wavelet transform. In decompression, the compressed image data may be decompressed and data values representative of null posts or other features may be replaced with their original values.02-12-2009
20090232408Error-Resilient Entropy Coding For Partial Embedding And Fine Grain Scalability - Methods, apparatus and computer program products are provided that generate a plurality of code words representative of data to be encoded. The code words may be generated to have first and second portions with each first portion including information that is representative of a predetermined characteristic of an associated second portion and each second portion including information that is representative of a respective portion of the data. A plurality of blocks may also be defined with each block including one or more bitplanes of the second portions of the code words. The plurality of blocks may be sequenced to achieve progressive representations of the encoded content in accordance with schemes to order the data according to priority of content. Content may be provided a level of error protection commiserate with its priority.09-17-2009

James Joseph Meany, Des Peres, WA US

Patent application numberDescriptionPublished
20110249894METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR COMPRESSING DATA - A method, apparatus and computer program product are provided for compressing data in a manner that decorrelates a plurality of components of multicomponent data and then encodes data relating to decorrelation of the components. The components may be decorrelated by organizing samples of a component into classes based upon values of samples having corresponding spatial locations in at least one preceding component. In this regard, the organization of samples of a component into classes may include defining classes based upon values of the samples in at least one preceding component. In addition, the method may also define classes based upon the slope of the samples in at least two preceding component.10-13-2011