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    • 3. 发明申请
    • EFFICIENT DATA COMPRESSION & DECOMPRESSION OF NUMERIC SEQUENCES
    • 有效的数据压缩和解码数字序列
    • US20090289819A1
    • 2009-11-26
    • US12470469
    • 2009-05-21
    • Matthew Mahoney
    • Matthew Mahoney
    • H03M7/34
    • H03M7/24H03M7/4006
    • 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.
    • 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。
    • 6. 发明授权
    • Efficient data compression and decompression of numeric sequences
    • 数字序列的高效数据压缩和解压缩
    • US07864083B2
    • 2011-01-04
    • US12470469
    • 2009-05-21
    • Matthew Mahoney
    • Matthew Mahoney
    • H03M7/30
    • H03M7/24H03M7/4006
    • 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.
    • 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。