会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明申请
    • Method and Means for the Scalable Improvement of the Quality of a Signal Encoding Method
    • 可扩展性提高信号编码方法质量的方法和手段
    • US20120014474A1
    • 2012-01-19
    • US13133978
    • 2009-12-10
    • Stefan SchandlPanji Setiawan
    • Stefan SchandlPanji Setiawan
    • H04L25/49
    • G10L19/24
    • The invention relates to a method for the scalable improvement of the quality of an encoding method according to IT-U Recommendation G.722, including the following steps:-a digital error signal (E) derived from an input signal to be encoded and a prognosis signal is compared in sections to a number of M*LN different reference signals in an iterative process having a number of repeated steps depending on the scope of the expansion, and the reference signal having a minimum error signal of a prescribed error criteria is derived therefrom,-the reference signals are each made up of equidistant Dirac impulses δ(n) according to (I), wherein off=[0 . . . M−1], indicates the distance of the first impulse from a zero time point, α∈{α,α, . . . ,α} indicates the amplitude value, M the distance between the individual pulses, N the number of pulses, and L the number of different levels,-the information about the reference signal having the minimum error signal is transmitted. c  ( n ) = ∑ p = 0 N - 1  α p · δ  ( n - off - M · p ) ( I )
    • 本发明涉及一种根据IT-U建议G.722可扩展地提高编码方法质量的方法,包括以下步骤: - 从要编码的输入信号导出的数字误差信号(E)和 预测信号在具有取决于扩展的范围的多个重复步骤的迭代过程中与多个M * LN不同参考信号进行比较,并且导出具有规定误差准则的最小误差信号的参考信号 参考信号各自由根据(I)的等距离的狄拉克脉冲δ(n)组成,其中off = [0。 。 。 M-1]表示第一个脉冲与零时间点的距离,α∈{α,α, 。 。 ,α}表示振幅值,M表示各个脉冲之间的距离,N表示脉冲数,L表示不同电平的数量, - 关于具有最小误差信号的参考信号的信息被发送。 c(n)=Σp = 0 N - 1αα·δ(n-off-M·p)(I)
    • 4. 发明授权
    • Method for vector quantization of a feature vector
    • 方法用于向量量化特征向量
    • US08581757B2
    • 2013-11-12
    • US13319806
    • 2010-06-30
    • Stefan SchandlPanji Setiawan
    • Stefan SchandlPanji Setiawan
    • H03M7/30
    • H03M7/3082G10L19/00
    • The invention relates to a method for the vector quantization of a feature vector, in particular with respect to a data compression of a signal to be transmitted or to be stored, particularly a voice signal or a video signal, wherein at least one codebook from a plurality of codebook vectors is searched for a code vector representing the feature vector. During the search, a sequence of codebook vectors is examined for the suitability thereof to represent the feature vector. In the course of the search for the code vector, a set of neighboring vectors is dedicated to at least one of the codebook vectors potentially to be examined, preferably prior to the search. The search for the code vector includes at least part of the neighboring vectors.
    • 本发明涉及一种用于特征矢量矢量量化的方法,特别是关于待传输或待存储的信号的数据压缩,特别是语音信号或视频信号,其中至少一个来自 搜索多个码本向量来表示特征向量的码矢量。 在搜索期间,检查码本向量的序列是否适于表示特征向量。 在搜索码矢量的过程中,优选地在搜索之前,一组相邻向量专用于潜在地被检查的码本矢量中的至少一个。 对码矢量的搜索包括至少部分相邻矢量。
    • 6. 发明申请
    • METHOD FOR VECTOR QUANTIZATION OF A FEATURE VECTOR
    • 一种特征向量的矢量量化方法
    • US20120112934A1
    • 2012-05-10
    • US13319806
    • 2010-06-30
    • Stefan SchandlPanji Setiawan
    • Stefan SchandlPanji Setiawan
    • H04N7/28H03M7/30
    • H03M7/3082G10L19/00
    • The invention relates to a method for the vector quantization of a feature vector, in particular with respect to a data compression of a signal to be transmitted or to be stored, particularly a voice signal or a video signal, wherein at least one codebook from a plurality of codebook vectors is searched for a code vector representing the feature vector. During the search, a sequence of codebook vectors is examined for the suitability thereof to represent the feature vector. In the course of the search for the code vector, a set of neighboring vectors is dedicated to at least one of the codebook vectors potentially to be examined, preferably prior to the search. The search for the code vector includes at least part of the neighboring vectors.
    • 本发明涉及一种用于特征矢量矢量量化的方法,特别是关于待传输或待存储的信号的数据压缩,特别是语音信号或视频信号,其中至少一个来自 搜索多个码本向量来表示特征向量的码矢量。 在搜索期间,检查码本向量的序列是否适于表示特征向量。 在搜索码矢量的过程中,优选地在搜索之前,一组相邻向量专用于潜在地被检查的码本矢量中的至少一个。 对码矢量的搜索包括至少部分相邻矢量。
    • 9. 发明授权
    • Method and means for the scalable improvement of the quality of a signal encoding method
    • 用于可扩展地提高信号编码方法质量的方法和装置
    • US08774312B2
    • 2014-07-08
    • US13133978
    • 2009-12-10
    • Stefan SchandlPanji Setiawan
    • Stefan SchandlPanji Setiawan
    • H04K1/02
    • G10L19/24
    • The invention relates to a method for the scalable improvement of the quality of an encoding method according to IT-U Recommendation G.722, including the following steps: —a digital error signal (E) derived from an input signal to be encoded and a prognosis signal is compared in sections to a number of M*LN different reference signals in an iterative process having a number of repeated steps depending on the scope of the expansion, and the reference signal having a minimum error signal of a prescribed error criteria is derived therefrom, —the reference signals are each made up of equidistant Dirac impulses δ(n) according to (I), wherein off=[0 . . . M−1], indicates the distance of the first impulse from a zero time point, αε{α, α, . . . , α} indicates the amplitude value, M the distance between the individual pulses, N the number of pulses, and L the number of different levels, —the information about the reference signal having the minimum error signal is transmitted. c ⁡ ( n ) = ∑ p = 0 N - 1 ⁢ α p · δ ⁡ ( n - off - M · p ) ( I )
    • 本发明涉及一种根据IT-U建议G.722可扩展地提高编码方法质量的方法,包括以下步骤: - 从要编码的输入信号导出的数字误差信号(E)和 预测信号在具有取决于扩展的范围的多个重复步骤的迭代过程中与多个M * LN不同参考信号进行比较,并且导出具有规定误差准则的最小误差信号的参考信号 参考信号各自由根据(I)的等距离的狄拉克脉冲δ(n)组成,其中off = [0。 。 。 M-1]表示第一个脉冲与零时间点的距离,α&egr; {α,α, 。 。 ,α}表示振幅值,M表示各个脉冲之间的距离,N表示脉冲数,L表示不同电平的数量, - 关于具有最小误差信号的参考信号的信息被发送。 c⁡(n)=Σp = 0 N-1αp·δ⁡(n-off-M·p)(I)