International Journal of Wavelets, Multiresolution and Information Processing最新文献_第2页

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

International Journal of Wavelets, Multiresolution and Information Processing Pub Date : 2024-05-07 DOI: 10.1142/s021969132450022x

Zhao Luo, Yonghong Lan, Litao Zheng, Lei Ding

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

International Journal of Wavelets, Multiresolution and Information Processing Pub Date : 2024-04-25 DOI: 10.1142/s0219691324500218

M. L. Arenas-Blazquez, A. San-Antolin

引用次数: 0

On Matrix-Valued Riesz Bases Over LCA Groups 论 LCA 群上的矩阵值里兹基

International Journal of Wavelets, Multiresolution and Information Processing Pub Date : 2024-04-24 DOI: 10.1142/s021969132450019x

Jyoti, L. K. Vashisht

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

International Journal of Wavelets, Multiresolution and Information Processing Pub Date : 2024-04-22 DOI: 10.1142/s0219691324500139

Baohuai Sheng

{"title":"Reproducing property of bounded linear operators and kernel regularized least square regressions","authors":"Baohuai Sheng","doi":"10.1142/s0219691324500139","DOIUrl":"https://doi.org/10.1142/s0219691324500139","url":null,"abstract":"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.","PeriodicalId":508116,"journal":{"name":"International Journal of Wavelets, Multiresolution and Information Processing","volume":"20 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140674080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

International Journal of Wavelets, Multiresolution and Information Processing Pub Date : 2024-04-19 DOI: 10.1142/s0219691324500152

Jiaqi Song, Lian Zou, Liqing Zhou, Ziao Liu, Cien Fan, Bin Wang

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

International Journal of Wavelets, Multiresolution and Information Processing Pub Date : 2024-04-19 DOI: 10.1142/s0219691324500140

C. Hon, Zige Liu, Tao Qian, Wei Qu, Jiman Zhao

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

International Journal of Wavelets, Multiresolution and Information Processing Pub Date : 2024-04-19 DOI: 10.1142/s0219691324500188

Xuehui Mei, Jingjing Ren, Yang Xia, Haijun Jiang

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

International Journal of Wavelets, Multiresolution and Information Processing Pub Date : 2024-04-19 DOI: 10.1142/s0219691324500176

Xizhe Xie, Ning Bi, Wengu Chen

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

International Journal of Wavelets, Multiresolution and Information Processing Pub Date : 2024-04-19 DOI: 10.1142/s0219691324500164

Brody Johnson, Simon McCreary-Ellis

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

International Journal of Wavelets, Multiresolution and Information Processing 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

{"title":"Texture Classification Network Integrating Adaptive Wavelet Transform","authors":"Su-Xi Yu, Jing-Yuan He, Yi Wang, Yu-Jiao Cai, Jun Yang, Bo Lin, Weibin Yang, Jian Ruan","doi":"10.1142/s0219691324500206","DOIUrl":"https://doi.org/10.1142/s0219691324500206","url":null,"abstract":"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.","PeriodicalId":508116,"journal":{"name":"International Journal of Wavelets, Multiresolution and Information Processing","volume":"5 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140729735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0