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- 超分辨率重建的硕士论文,详细介绍了现有超分辨率重建的常用算法,并提出基于小波的稳健的超分辨率图像重建算法,有考价值。-Super-resolution reconstruction of the master' s thesis, detailing the existing super-resolution reconstruction algorithm used, and the robustness of wavelet-based super-resolution image r
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- 超分辨率重建算法的硕士论文,主要介绍了超分辨率重建技术概述,及采用最大后验概率完成超分辨率重建的具体过程,有重要参考价值-Super-resolution reconstruction algorithm for master' s thesis, introduced an overview of super-resolution reconstruction, and the use of maximum a posteriori probability of the completi
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- 对重分配小波尺度谱存在着时、频分辨率不能同时达到最佳及当振动信号中存在着能量较大的噪声时会降低其时频分布可读性的缺陷,提出一种基于参数优化和奇异值分解(SVD)提高重分配尺度谱时频分布可读性的方法。首先利用Shan— non熵方法优化重分配尺度谱基函数的时间.带宽积(TBP),克服其时、频分辨率不能同时达到最佳的缺陷,再对重分配尺度谱 进行SVD降噪降低噪声干扰影响,提高时频分布的可读性。最后用该方法对仿真信号和滚动轴承故障信号进行了分析,结果表明该方法的时频聚集性更好,抗噪能力更强,能
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- The wavelet transform divides image into different but interrelated multi-resolution and multi-level sub-bands, so quantization coding strategy of image wavelet coefficient has great flexibility. To address to energy aggregation and correlated fe