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International Journal of Wavelets, Multiresolution and Information Processing最新文献

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Improved-Equivalent-Input-Disturbance-Based Preview Repetitive Control for Takagi-Sugeno Fuzzy System with State Delay 具有状态延迟的高木-杉野模糊系统的基于改进等效输入干扰的预览重复控制
Pub Date : 2024-05-07 DOI: 10.1142/s021969132450022x
Zhao Luo, Yonghong Lan, Litao Zheng, Lei Ding
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引用次数: 0
Some Compactly Supported Dual Wavelets Associated to The Quincunx Matrix in ℝ3 与ℝ3 中的 Quincunx 矩阵相关的一些紧凑支持的双小波
Pub Date : 2024-04-25 DOI: 10.1142/s0219691324500218
M. L. Arenas-Blazquez, A. San-Antolin
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引用次数: 0
On Matrix-Valued Riesz Bases Over LCA Groups 论 LCA 群上的矩阵值里兹基
Pub Date : 2024-04-24 DOI: 10.1142/s021969132450019x
Jyoti, L. K. Vashisht
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引用次数: 0
Reproducing property of bounded linear operators and kernel regularized least square regressions 有界线性算子和核正则化最小平方回归的再现特性
Pub Date : 2024-04-22 DOI: 10.1142/s0219691324500139
Baohuai Sheng
We consider bounded linear operators from the view of functional reproducing property. For some bounded linear operators associated with orthogonal polynomials we define an inner product space associated with a kernel constructed with orthogonal polynomials, show that it is a functional reproducing kernel Hilbert space (FRKHS) associated with these bounded linear operators and give decay rate for the best FRKHS approximation with a [Formula: see text]-functional associated with the FRKHS. On this basis, we provide a learning rate for kernel regularized regression whose hypothesis space is the defined FRKHS. As applications, we define some concrete FRKHSs associated with polynomial operators such as the Bernstein–Durrmeyer operators, the de la Vallée Poussin operators on both the unit sphere [Formula: see text] and the unit ball [Formula: see text]. We show that these polynomial operators have reproducing property with respect to the corresponding concrete FRKHSs and show the learning rate for the kernel regularized regression. In short, we provide a way of constructing FRKHS operators with Fourier multipliers and show a learning framework from the view of operator approximation.
我们从函数再现特性的角度来考虑有界线性算子。对于一些与正交多项式相关的有界线性算子,我们定义了一个与用正交多项式构造的核相关的内积空间,证明它是一个与这些有界线性算子相关的函数再现核希尔伯特空间(FRKHS),并给出了与 FRKHS 相关的[公式:见正文]函数的最佳 FRKHS 近似的衰减率。在此基础上,我们给出了以定义的 FRKHS 为假设空间的核正则化回归的学习率。作为应用,我们定义了一些与多项式算子相关的具体 FRKHS,如伯恩斯坦-杜尔迈耶算子、单位球上的 de la Vallée Poussin 算子[公式:见正文]和单位球上的 de la Vallée Poussin 算子[公式:见正文]。我们证明了这些多项式算子对相应的具体 FRKHS 具有重现特性,并展示了核正则化回归的学习率。总之,我们提供了一种用傅里叶乘数构造 FRKHS 算子的方法,并从算子近似的角度展示了一个学习框架。
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引用次数: 0
Complex-valued Temporal Convolutional Network for Speech Enhancement 用于语音增强的复值时空卷积网络
Pub Date : 2024-04-19 DOI: 10.1142/s0219691324500152
Jiaqi Song, Lian Zou, Liqing Zhou, Ziao Liu, Cien Fan, Bin Wang
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引用次数: 0
Trends by Adaptive Fourier Decomposition and Application in Prediction 自适应傅立叶分解趋势及在预测中的应用
Pub Date : 2024-04-19 DOI: 10.1142/s0219691324500140
C. Hon, Zige Liu, Tao Qian, Wei Qu, Jiman Zhao
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引用次数: 0
Dynamic analysis of the IEASWR information propagation model with Holling-type II functional response 具有霍林 II 型功能响应的 IEASWR 信息传播模型的动态分析
Pub Date : 2024-04-19 DOI: 10.1142/s0219691324500188
Xuehui Mei, Jingjing Ren, Yang Xia, Haijun Jiang
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引用次数: 0
Sparse Recovery with Coherent Frames via ℓ1-2–Analysis 通过 ℓ1-2 分析法利用相干帧进行稀疏恢复
Pub Date : 2024-04-19 DOI: 10.1142/s0219691324500176
Xizhe Xie, Ning Bi, Wengu Chen
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引用次数: 0
Stability of the a trous algorithm under iteration 迭代条件下裤子算法的稳定性
Pub Date : 2024-04-19 DOI: 10.1142/s0219691324500164
Brody Johnson, Simon McCreary-Ellis
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引用次数: 0
Texture Classification Network Integrating Adaptive Wavelet Transform 整合自适应小波变换的纹理分类网络
Pub Date : 2024-04-08 DOI: 10.1142/s0219691324500206
Su-Xi Yu, Jing-Yuan He, Yi Wang, Yu-Jiao Cai, Jun Yang, Bo Lin, Weibin Yang, Jian Ruan
Graves' disease is a common condition that is diagnosed clinically by determining the smoothness of the thyroid texture and its morphology in ultrasound images. Currently, the most widely used approach for the automated diagnosis of Graves' disease utilizes Convolutional Neural Networks (CNNs) for both feature extraction and classification. However, these methods demonstrate limited efficacy in capturing texture features. Given the high capacity of wavelets in describing texture features, this research integrates learnable wavelet modules utilizing the Lifting Scheme into CNNs and incorporates a parallel wavelet branch into the ResNet18 model to enhance texture feature extraction. Our model can analyze texture features in spatial and frequency domains simultaneously, leading to optimized classification accuracy. We conducted experiments on collected ultrasound datasets and publicly available natural image texture datasets, our proposed network achieved 97.27% accuracy and 95.60% recall on ultrasound datasets, 60.765% accuracy on natural image texture datasets, surpassing the accuracy of ResNet and conrming the effectiveness of our approach.
巴塞杜氏病是一种常见病,临床上可通过确定超声波图像中甲状腺纹理的平滑度及其形态来诊断。目前,最广泛使用的巴塞杜氏病自动诊断方法是利用卷积神经网络(CNN)进行特征提取和分类。然而,这些方法在捕捉纹理特征方面的功效有限。鉴于小波在描述纹理特征方面的高容量,本研究利用提升方案将可学习的小波模块集成到 CNN 中,并将并行小波分支集成到 ResNet18 模型中,以增强纹理特征提取。我们的模型可以同时分析空间域和频率域的纹理特征,从而优化分类准确性。我们在收集的超声波数据集和公开的自然图像纹理数据集上进行了实验,我们提出的网络在超声波数据集上实现了 97.27% 的准确率和 95.60% 的召回率,在自然图像纹理数据集上实现了 60.765% 的准确率,超过了 ResNet 的准确率,证实了我们方法的有效性。
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引用次数: 0
期刊
International Journal of Wavelets, Multiresolution and Information Processing
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