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    Power amplifying device with linear corrector
    1.
    发明授权
    Power amplifying device with linear corrector 有权
    带线性校正器的功率放大器

    公开(公告)号：US07999614B1

    公开(公告)日：2011-08-16

    申请号：US12853223

    申请日：2010-08-09

    申请人： Bo Ai ,  Zhangdui Zhong ,  Gang Zhu

    发明人： Bo Ai ,  Zhangdui Zhong ,  Gang Zhu

    IPC分类号： H03F1/26

    CPC分类号： H03F1/3247 ,  H03F1/3258

    摘要： A power amplifying device with linear corrector utilizing the polynomial format to realize pre-distortion is disclosed. Its effective order estimation technique for polynomial based pre-distorter includes the following steps. Firstly, it receives the polynomial of the described pre-distorter and then, the polynomial is transformed into the matrix expression, obtaining the pre-distorter consisted of K pre-distortion functions, where K denotes the maximum order of the described polynomials. Secondly, singular value decomposition is performed for the pre-distortion matrix, obtaining singular value matrix. Thirdly, on the basis of the singular value matrix, effective rank of the pre-distortion matrix is obtained. Such effective rank of the pre-distortion matrix is determined as the effective order of the polynomial. This invention improves not only the pre-distortion performance but also lower the computational complexity of the power amplifier pre-distorter based on polynomials, which further guarantees the convergence speed and the stability of power amplifier pre-distorter based on polynomials.

    摘要翻译： 公开了一种利用多项式格式实现预失真的线性校正器的功率放大装置。 其基于多项式的预失真器的有效次序估计技术包括以下步骤。 首先，它接收所描述的预失真器的多项式，然后将多项式变换成矩阵表达式，获得由K个预失真函数组成的预失真器，其中K表示所描述的多项式的最大阶数。 其次，针对预失真矩阵执行奇异值分解，获得奇异值矩阵。 第三，基于奇异值矩阵，获得预失真矩阵的有效等级。 确定预失真矩阵的有效等级作为多项式的有效阶数。 本发明不仅改进了预失真性能，而且改进了基于多项式的功率放大器预失真器的计算复杂度，这进一步保证了基于多项式的功率放大器预失真器的收敛速度和稳定性。

    Method and device for multi-view encoding/decoding using disparity vector
    4.
    发明授权
    Method and device for multi-view encoding/decoding using disparity vector 有权
    使用差异向量进行多视图编码/解码的方法和装置

    公开(公告)号：US08594193B2

    公开(公告)日：2013-11-26

    申请号：US12239226

    申请日：2008-09-26

    申请人： Yun He ,  Xiaozhong Xu ,  Gang Zhu ,  Ping Yang ,  Jianhua Zheng ,  Shujuan Shi ,  Xiaozhen Zheng ,  Xinjian Meng

    发明人： Yun He ,  Xiaozhong Xu ,  Gang Zhu ,  Ping Yang ,  Jianhua Zheng ,  Shujuan Shi ,  Xiaozhen Zheng ,  Xinjian Meng

    IPC分类号： H04N7/12 ,  H04N11/02 ,  H04N11/04

    CPC分类号： H04N19/597

    摘要： A method of obtaining a disparity vector and its encoding/decoding in the multi-view coding process is disclosed. The present invention includes essentially: determining a disparity vector between two views during the multi-view image coding, and computing a disparity vector between the other two views according to the disparity vector between the two views and the known relative location information between each of the views. Thereafter, the disparity vector is used for multi-view encoding/decoding. The present invention further makes use of the correlation between the disparity vector and depth information of the spatial vector on one hand, and on the other hand makes use of the direct relationship between the disparity vector and the location of each of the cameras. It is experimentally proved that the disparity vector between several views can be accurately computed during the multi-view coding, thereby improving the performance of multi-view coding.

    摘要翻译： 公开了一种在多视图编码处理中获得视差矢量及其编码/解码的方法。 本发明基本上包括：在多视图图像编码期间确定两个视图之间的视差向量，以及根据两个视图之间的视差矢量和每个视图之间的已知相对位置信息来计算其他两个视图之间的视差矢量 意见 此后，视差矢量用于多视图编码/解码。 本发明进一步利用视差矢量与空间矢量的深度信息之间的相关性，另一方面利用视差矢量与每个摄像机的位置之间的直接关系。 实验证明，可以在多视图编码期间精确地计算出几个视图之间的视差矢量，从而提高了多视图编码的性能。

    Spectral component separation including unwrapping of the phase via a poisson equation utilizing a weighting map
    5.
    发明授权
    Spectral component separation including unwrapping of the phase via a poisson equation utilizing a weighting map 失效
    光谱分量分离，包括通过使用加权映射的泊松方程展开相位

    公开(公告)号：US5701074A

    公开(公告)日：1997-12-23

    申请号：US639330

    申请日：1996-04-25

    申请人： Gang Zhu

    发明人： Gang Zhu

    IPC分类号： G01R33/54 ,  G01R33/565 ,  G06K9/40 ,  G01R33/46

    CPC分类号： G06K9/40 ,  G01R33/4828 ,  G01R33/565 ,  G01R33/56527

    摘要： A method of phase unwrapping by solving the Poisson equation using a weighted iterative algorithm, for use when separating spectral component with magnetic resonance imaging systems. The solution of the Poisson equation is expedited by using a weighting matrix obtained by calculating the average noise level of an in-phase image and using 3-5 times the noise level as a threshold with only pixel intensity levels above the threshold being set equal to one and the other pixels being set to zero. The pixels on the weight matrix are also set to zero according to the size differences of the phase offset per pixel either in the row or column direction. The solution of the Poisson equation is then uniquely operated on to remove a constant (bias) and to improve the fit.

    摘要翻译： 一种使用加权迭代算法求解泊松方程的相位展开方法，用于在用磁共振成像系统分离光谱分量时使用。 通过使用通过计算同相图像的平均噪声电平而获得的加权矩阵并且使用3-5倍的噪声电平作为阈值来加速泊松方程的解，只有阈值的像素强度水平被设置为等于 一个和另一个像素被设置为零。 加权矩阵上的像素也根据行或列方向上每像素的相位偏移的大小差设置为零。 然后，泊松方程的解被唯一地操作以去除常数（偏差）并改善拟合。