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    EFFICIENT DATA COMPRESSION & DECOMPRESSION OF NUMERIC SEQUENCES
    6.
    发明申请
    EFFICIENT DATA COMPRESSION & DECOMPRESSION OF NUMERIC SEQUENCES 有权
    有效的数据压缩和解码数字序列

    公开(公告)号：US20090289819A1

    公开(公告)日：2009-11-26

    申请号：US12470469

    申请日：2009-05-21

    申请人： Matthew Mahoney

    发明人： Matthew Mahoney

    IPC分类号： H03M7/34

    CPC分类号： H03M7/24 ,  H03M7/4006

    摘要： Embodiments described herein relate to compression and decompression of data consisting of a one dimensional time series of floating point numbers. A compressor may comprise a lossless stage and in some embodiments a lossy stage in addition to the lossless stage. The lossy stage quantizes the data by discarding some of the least significant bits as specified by the user. The lossless stage uses a context mixing algorithm with two bit-wise predictive models whose predictions are combined and fed to an arithmetic coder. One model is a direct context model using the most significant bits of prior numeric samples as context. The other model is the output of an adaptive filter, in which the approximate predicted numeric value is used as context to model the actual value. A corresponding decompressor uses the same lossless model with the arithmetic coder replaced by an arithmetic decoder.

    摘要翻译： 本文描述的实施例涉及由一维时间序列的浮点数组成的数据的压缩和解压缩。 压缩机可以包括无损阶段，并且在一些实施例中，除了无损阶段之外还包括有损阶段。 有损阶段通过丢弃由用户指定的一些最低有效位来量化数据。 无损阶段使用具有两个逐位预测模型的上下文混合算法，其预测被组合并被馈送到算术编码器。 一个模型是使用现有数字样本的最高有效位作为上下文的直接上下文模型。 另一个模型是自适应滤波器的输出，其中将近似预测数值用作对实际值进行建模的上下文。 对应的解压缩器使用与算术解码器替换的算术编码器相同的无损模型。

    Transgenic flies expressing tau and amyloid precursor fragment
    7.
    发明申请
    Transgenic flies expressing tau and amyloid precursor fragment 审中-公开
    表达tau和淀粉样前体片段的转基因蝇

    公开(公告)号：US20080076145A1

    公开(公告)日：2008-03-27

    申请号：US11818413

    申请日：2007-06-14

    申请人： Christopher Cummings ,  Matthew Mahoney ,  Carol Singh

    发明人： Christopher Cummings ,  Matthew Mahoney ,  Carol Singh

    IPC分类号： A01K67/00 ,  C12N5/06 ,  C12Q1/20 ,  G01N33/00

    CPC分类号： A01K67/0339 ,  A01K2217/05 ,  A01K2227/706 ,  A01K2267/0312 ,  C07K14/4711 ,  C12N15/8509 ,  C12N2830/002 ,  C12N2830/008

    摘要： The present invention discloses a transgenic fly that expresses a carboxy terminal fragment of the human amyloid-β precursor protein (APP) and a double transgenic fly that expresses both the fragment of APP and tau protein. The transgenic flies of the present invention provide for models of neurodegenerative disorders, such as Alzheimer's disease. The invention further discloses methods for identifying genetic modifiers, as well as screening methods to identify therapeutic compounds to treat neurodegenerative disorders using the transgenic flies.

    摘要翻译： 本发明公开了表达人淀粉样蛋白-β前体蛋白（APP）的羧基末端片段和表达APP和tau蛋白片段的双转基因飞蝇的转基因飞行物。 本发明的转基因苍蝇提供了神经变性疾病如阿尔茨海默氏病的模型。 本发明进一步公开了用于鉴定遗传修饰剂的方法，以及用于鉴定使用转基因苍蝇治疗神经变性疾病的治疗化合物的筛选方法。

    Efficient data compression and decompression of numeric sequences
    8.
    发明授权
    Efficient data compression and decompression of numeric sequences 有权
    数字序列的高效数据压缩和解压缩

    公开(公告)号：US07864083B2

    公开(公告)日：2011-01-04

    申请号：US12470469

    申请日：2009-05-21

    申请人： Matthew Mahoney

    发明人： Matthew Mahoney

    IPC分类号： H03M7/30

    CPC分类号： H03M7/24 ,  H03M7/4006

    摘要： Embodiments described herein relate to compression and decompression of data consisting of a one dimensional time series of floating point numbers. A compressor may comprise a lossless stage and in some embodiments a lossy stage in addition to the lossless stage. The lossy stage quantizes the data by discarding some of the least significant bits as specified by the user. The lossless stage uses a context mixing algorithm with two bit-wise predictive models whose predictions are combined and fed to an arithmetic coder. One model is a direct context model using the most significant bits of prior numeric samples as context. The other model is the output of an adaptive filter, in which the approximate predicted numeric value is used as context to model the actual value. A corresponding decompressor uses the same lossless model with the arithmetic coder replaced by an arithmetic decoder.

    摘要翻译： 本文描述的实施例涉及由一维时间序列的浮点数组成的数据的压缩和解压缩。 压缩机可以包括无损阶段，并且在一些实施例中，除了无损阶段之外还包括有损阶段。 有损阶段通过丢弃由用户指定的一些最低有效位来量化数据。 无损阶段使用具有两个逐位预测模型的上下文混合算法，其预测被组合并被馈送到算术编码器。 一个模型是使用现有数字样本的最高有效位作为上下文的直接上下文模型。 另一个模型是自适应滤波器的输出，其中将近似预测数值用作对实际值进行建模的上下文。 对应的解压缩器使用与算术解码器替换的算术编码器相同的无损模型。