| 1. | The reconstruction condition of two channel qmf banks is analyzed and the fir qmf banks are designed by windows function method
重点给出各种用来设计原型滤波器的方法及快速实现结构。 |
| 2. | The perfect reconstruction condition is provided for multi - channel qmf banks . filter banks of tree structure are described
树形结构滤波器组的基本原理及其与并形结构滤波器组的等效关系。 |
| 3. | The traditional method is that the impulse response of filter can be gotten by optimization under the perfect reconstruction condition
传统的研究方法是在满足滤波器组完全重构的情况下通过寻优的方法得到滤波器的冲击响应，所得到的滤波器性能较差。 |
| 4. | In our proposed method , both the objective function and the perfect reconstruction condition are expressed as a quadratic function of the prototype filter coefficient vector
该方法中，目标函数和完全重构条件均被表示成为原型滤波器系数矢量的二次函数形式。 |
| 5. | Part two is contributed to the analysis of filter banks in time domain . the representation of each part in filter banks and the perfect reconstruction conditions are introduced here . then the design procedure in time domain and several examples are presented
第二部分，我们研究了滤波器组的时域分析方法，讨论了滤波器组的各个环节在时域中的表示形式，以及滤波器组在时域中的完全重构条件，讨论了滤波器组的时域设计方法，并给出了设计的例子。 |
| 6. | We propose an algorithm of recovering euclidean reconstruction from projective reconstruction if the camera intrinsic parameters are known . first solving a non - singular matrix which satisfies euclidean reconstruction conditions and then we convert the projective reconstruction to euclidean reconstruction by the matrix
在摄像机内参数己知的情况下，提出一种从射影重构恢复欧氏重构的算法，先求解一个满足欧氏重构条件的非奇异矩阵，然后通过此矩阵将射影重构变换为欧氏重构。 |
| 7. | Based on this characterization , we improve the theoretic result which is the foundation of lyapunov backstepping design . the problem that how to construct a control lyapunov function from a weak lyapunov function is a significant one , because the successful reconstruction implies that robust analysis and design can be probed in depth . for affine nonlinear systems , we present a sufficient reconstruction condition and interpretate the constructing procedure by typical examples
刻画一类存在半正定弱李雅普诺夫函数的全局渐近稳定系统，并用所得结果改进了李雅普诺夫递推设计的一个重要理论依据；如何由弱李雅普诺夫函数重构控制李雅普诺夫函数，是一个十分重要的问题，因为成功的重构意味着可以进行深入的鲁棒分产摘要析与设计，针对仿射系统我们给出了可以重构的充分条件，并用典型例子说明了构造过程 |
| 8. | First , the error transfer characteristic among subsystems at different space locations is analyzed , and the direct transfer characteristic from discrete standard measure space to the workpiece measure space under measured in measure system is proven . second , the error reconstruction condition and method of mapping from discrete standard measurement system to continuous standard measure space are analyzed . based on the measurement sample stationarity in limited distance , the prediction model ' s limited astringency and mensurability to the dynamic measuring error and the prediction error respectively are proven
分析了不同空间位置子系统间的误差传递特性，证明了在测量系统中离散标准量值空间向被测量工件量值空间的直接传递性；分析了离散标准量系统向连续量值空间映射的误差重构条件和方法；基于测量样本的有限距离的平稳性，证明了预报模型对动态测量误差的有限收敛性和预报误差的可测度性，进而证明了以离散标准量值系统对被测工件预报修正的可行性和合理性。 |
