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    • 1. 发明专利
    • Reduction of errors during computation of inverse discrete cosine transform
    • 在反演离散COSINE变换计算过程中减少误差
    • JP2013211011A
    • 2013-10-10
    • JP2013048219
    • 2013-03-11
    • Qualcomm Incクゥアルコム・インコーポレイテッドQualcomm Incorporated
    • YURIY REZNIK
    • G06F17/14H03M7/30H04N7/26
    • G06F17/147H04N19/45H04N19/60H04N19/61
    • PROBLEM TO BE SOLVED: To provide techniques to reduce rounding errors during computation of a discrete cosine transform using fixed-point calculations.SOLUTION: In an inverse discrete cosine transform, a vector of coefficients is calculated using a series of butterfly structure operations on fixed-point numbers. Next, a midpoint bias value and a supplemental bias value are added to a DC coefficient of the matrix of scaled coefficients. Next, an inverse discrete cosine transform is applied to the resulting matrix of scaled coefficients. Values in the resulting matrix are then right-shifted in order to derive a matrix of pixel component values. As described herein, the addition of the supplemental bias value to the DC coefficient reduces rounding errors attributable to this right-shifting. As a result, a final version of a digital media file decompressed using these techniques may more closely resemble an original version of a digital media file.
    • 要解决的问题:提供在使用定点计算的离散余弦变换计算期间减少舍入误差的技术。解决方案:在离散余弦变换中,使用一系列蝶形结构运算来计算系数矢量, 点数。 接下来,将中点偏置值和补充偏置值加到缩放系数矩阵的DC系数中。 接下来,将逆离散余弦变换应用于所得到的缩放系数矩阵。 然后将所得矩阵中的值右移,以便导出像素分量值的矩阵。 如这里所述,补充偏置值加到DC系数可以减少归因于该右移的舍入误差。 因此,使用这些技术解压缩的数字媒体文件的最终版本可能更接近于数字媒体文件的原始版本。
    • 2. 发明专利
    • Scalable speech and audio encoding using combinatorial encoding of mdct spectrum
    • 使用MDCT频谱的组合编码的可扩展语音和音频编码
    • JP2013178539A
    • 2013-09-09
    • JP2013083340
    • 2013-04-11
    • Qualcomm Incクゥアルコム・インコーポレイテッドQualcomm Incorporated
    • YURIY REZNIKHUANG PENGJUN
    • G10L19/16G10L25/18H03M7/30
    • G10L19/24G10L19/038
    • PROBLEM TO BE SOLVED: To provide an efficient technique for encoding/decoding of MDCT (or similar transform-based) spectrum in scalable speech and audio compression algorithms.SOLUTION: A residual signal which is a difference between an original audio signal and a reconstructed version of the original audio signal is obtained from a Code Excited Linear Prediction (CELP)-based encoding layer and is transformed at a discrete cosine transform (DCT)-type transform layer to obtain a corresponding transform spectrum having a plurality of spectral lines. The transform spectrum spectral lines are transformed using a combinatorial position coding technique. The combinatorial position coding technique generates a lexicographical index for a selected subset of spectral lines, where each lexicographic index represents one of a plurality of possible binary strings representing the positions of the selected subset of spectral lines.
    • 要解决的问题:提供用于在可缩放语音和音频压缩算法中对MDCT(或类似的基于变换的)频谱进行编码/解码的有效技术。解决方案:作为原始音频信号和重构版本之间的差异的残差信号 从基于码激励线性预测(CELP)的编码层获得原始音频信号,并在离散余弦变换(DCT)型变换层处变换,以获得具有多个谱线的对应变换频谱。 使用组合位置编码技术对变换频谱谱线进行变换。 组合位置编码技术为选定的谱线子集生成词典索引,其中每个词典索引表示表示所选择的谱线子集的位置的多个可能的二进制串中的一个。
    • 7. 发明专利
    • TRANSFORMS WITH COMMON FACTORS
    • MY145533A
    • 2012-02-29
    • MYPI20082549
    • 2008-07-09
    • QUALCOMM INC
    • YURIY REZNIK
    • G06F17/14
    • WO 20071082272 PCT/US20071060405 36 TRANSFORMS WITH COMMON FACTORS ABSTRACT TECHNIQUES FOR EFFICIENTLY PERFORMING TRANSFORMS ON DATA ARE DESCRIBED. III ONE DESIGN, AN APPARATUS PERFORMS MULTIPLICATION OF A FIRST GROUP OF AT LEAST ONE DATA VALUE WITH A FIRST GROUP OF 5 AT LEAST ONE RATIONAL DYADIC CONSTANT THAT APPROXIMATES A FIRST GROUP OF AT LEAST ONE IRRATIONAL CONSTANT SCALED BY A FIRST COMMON FACTOR. THE APPARATUS FURTHER PERFORMS MULTIPLICATION OF A SECOND GROUP OF AT LEAST ONE DATA VALUE WITH A SECOND GROUP OF AT LEAST ONE RATIONAL DYADIC CONSTANT THAT APPROXIMATES A SECOND GROUP OF AT LEAST ONE IRRATIONAL CONSTANT SCALED BY A SECOND COMMON FACTOR. EACH RATIONAL DYADIC CONSTANT IS A RATIONAL NUMBER WITH A DYADIC DENOMINATOR. 10 THE FIRST AND SECOND GROUPS OF AT LEAST ONE DATA VALUE HAVE DIFFERENT SIZES. THE FIRST AND COMMON FACTORS MAY BE SELECTED BASED ON THE NUMBER OF LOGICAL AND ARITHMETIC OPERATIONS FOR THE MULTIPLICATIONS, THE PRECISION OF THE RESULTS, ETC.