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1c
- We rigorously analyze the dispersion function and the curvature of the dispersion surface of a photonic crystal to explore the fundamental limit of its angular sensitivities. With insight gained from group theory, we fi nd that symmetry indu
Nonsampling_Contourlet
- 非下采样contourlet变换是一种较新的多尺度几何分析方法，能够很好地描述信号的线奇异特征，具有多方向滤波器组。-Nonsubsampled contourlet transform is a relatively new method of multiscale geometric analysis, can well describe the signal characteristics of the line singularity, with multi-directional fi
thesignasingularitydetectionanddenoisin
- 基于小波变换的信号奇异性检测和去噪的matlab例程-Based on the wavelet transform of the signal singularity detection and denoising matlab routines
multicontourlet-project-phase-1
- MCT is composed of two-stage filter banks similar to that of the contourlet transform (CT) [8]. The first stage filter banks implement multiwavelet decomposition, which capture the point singularity effectively, in contrast to the Laplacian p
nsct
- Contourlet 变换的平移不变性在奇异性方面导致了伪Gibbs 效应。而NSCT是一种平移不变、多尺度和多分辨率的冗余变换，它对滤波器上采样再进行分析和综合滤波，这种滤波器的设计及重构易于实现，能更好地采集频率且具规律性，在图像去噪中得到了广泛的应用。-Contourlet transform translation invariance in singularity aspects led to the pseudo Gibbs effect. And NSCT is a kind o
xiaoboyuzhi
- 小波变换用于图像去噪可以很好的解决物体的点奇异特性，本算法采用各种阈值函数对图像进行去噪，里面包含测试图像和峰值信噪比-Wavelet transform for image denoising can solve the body good point singularity, the algorithm used for image denoising threshold function, which contains the test image and the peak signal
xiaobo--ruanyinzhezhong
- 小波变换用于图像去噪可以很好的解决物体的点奇异特性，本算法采用软硬折中阈值函数对图像进行去噪，里面包含测试图像和峰值信噪比-Wavelet transform for image denoising can solve the body good point singularity, the algorithm used for image denoising between soft and hard threshold function, which contains the test im
xiaobojiancexinhao
- 小波分析在信号奇异性检测中的应用，举两个例子，第一个是检测第一类型间断点，第二个是识别某一频率区间上的信号。-Wavelet Analysis in Signal Singularity Detection, to cite two examples, the first is the detection of the first type of discontinuity, and the second is to identify a frequency interval signal on
xindianxinhao
- 以心电信号检测为例，通过小波模极大值奇异性检测和求取Lipschitz指数确定心电信号R波的位置-Taking the ECG signal detection as an example, the position of the R wave of the ECG signal was determined by the singularity detection of the wavelet modulus and the Lipschitz index