本文讨论多维信号取样方式对信号分析和处理方法的影响。
The effects of the M-D sampling strategy on signal analysis and processing are discussed in this paper.
他的研究兴趣包括图像和多维信号处理，计算图像，小波和多尺度几何分析，可视化信息的表述。
His research interests include image and multi-dimensional signal processing, computational imaging, wavelets and multiscale geometric analysis, and visual information representation.
运用博弈论及信息经济学中非对称信息下的信号博弈理论，建立了一个企业多元化战略选择的多维信号博弈模型。
Using the signaling theory under unsymmetric information of game theory and information economy, a multidimensional signaling model of the strategic choice was erected.
首先利用多维逆m序列作为激励输入信号，用实验法建立出空气传送部分的多变量离散状态空间模型。
Firstly, the paper models the multivariable discrete state-space model of the air transmission unit by the lab method, using multi-dimensional inverse m series as input stimulus signal.
地球物理信号通常表现为多个这类信号的叠加，为多维分形特征。
Geophysical data are the stack of these kinds of signals and thus present multi-fractal characteristics.
本文建立了沿不同方向的多个超声波信号作用下的多维声光衍射的耦合波方程，并求出相应的解。
A set of coupled wave equations for multiple dimensional acoustooptic diffraction with multiple acoustic waves along different directions is put forward and its solutions are derived.
在矩阵算子实现信号分离的前提下，建立了关于信号方位参数的多维优化问题—即所谓的多维（MD-）松弛（RELAX）算法。
Under the hypothesis of the given matrix operators satisfying the signals separation, the multi-dimensional optimum about the signal azimuth, and the multidimensional(MD-)RELAX , was established.
然后介绍了单维力传感器的数据传输系统，其中的电感耦合传输能量、光电耦合传输信号是多维力传感器信号传输的基础。
Its electromagnetic induction couple for energy transmission and ray-electricity couple for signal transmission were still used in multi-component transducer data acquisition system.
运用多维数字信号处理理论，分析了PAL信号亮度和色度频谱的二维交错结构。
Applying the theory of multi dimensional digital signal processing, this paper analyses the 2-dimensional interleaving structure of luminance and chrominance spectrum for the PAL signal.
本文的主要内容包括基于多维稀疏估计的心电信号压缩算法设计和心电图实时压缩系统的DSP硬件实现两部分。
This thesis is composed of an ECG compression algorithm based on multiple sparse decompositions and its real-time application on DSP system.
本文的主要内容包括基于多维稀疏估计的心电信号压缩算法设计和心电图实时压缩系统的DSP硬件实现两部分。
This thesis is composed of an ECG compression algorithm based on multiple sparse decompositions and its real-time application on DSP system.
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