【matlab仿真】低秩张量恢复方法t-CTV与TRPCA代码仿真

上传者: 42932602 | 上传时间: 2025-08-17 22:17:48 | 文件大小: 16.56MB | 文件类型: ZIP
TC模型:低秩张量恢复方法通常基于各种张量分解技术,如CP分解、Tucker分解和高阶奇异值分解(t-SVD)。近年来,一些研究提出了将全局低秩和局部平滑先验结合的模型,但这些模型在理论上尚未证明其精确恢复的保证。本文提出的 t-CTV 正则化项能够同时编码低秩和平滑先验,并在理论上证明了其精确恢复的能力。 TRPCA 模型:本文的核心贡献 我们要解决一个问题:把一个矩阵(或者张量)分解成两个部分:一个是低秩矩阵 $L$(数据中有规律的部分),另一个是稀疏矩阵 $S$(数据中的异常或噪声)。这个过程叫做张量鲁棒主成分分析(TRPCA)。 这份仿真项目旨在介绍低秩张量恢复方法中的t-CTV(Temporal Complete Tensor Variation)和TRPCA(Tensor Robust Principal Component Analysis)算法,并提供相应的 MATLAB 代码实现。t-CTV 算法用于处理具有时序特性的低秩张量数据,而 TRPCA 算法则用于处理受到异常值干扰的低秩张量数据。通过仿真实验,展示这两种方法在不同场景下的效果与性能。

文件下载

资源详情

[{"title":"( 67 个子文件 16.56MB ) 【matlab仿真】低秩张量恢复方法t-CTV与TRPCA代码仿真","children":[{"title":"TC and TRPCA","children":[{"title":"TC","children":[{"title":"TC-Code","children":[{"title":"run_image_inpainting.m <span style='color:#111;'> 1.36KB </span>","children":null,"spread":false},{"title":"run_video_inpainting.m <span style='color:#111;'> 1.69KB </span>","children":null,"spread":false},{"title":"说明.txt <span style='color:#111;'> 704B </span>","children":null,"spread":false},{"title":"run_ltrc_tnn_toy.m <span style='color:#111;'> 718B </span>","children":null,"spread":false},{"title":"Data","children":[{"title":"BSD","children":[{"title":"02.jpg <span style='color:#111;'> 57.96KB </span>","children":null,"spread":false},{"title":"06.jpg <span style='color:#111;'> 53.67KB </span>","children":null,"spread":false},{"title":"10.jpg <span style='color:#111;'> 69.01KB </span>","children":null,"spread":false},{"title":"13.jpg <span style='color:#111;'> 72.49KB </span>","children":null,"spread":false},{"title":"01.jpg <span style='color:#111;'> 52.94KB </span>","children":null,"spread":false},{"title":"14.jpg <span style='color:#111;'> 74.92KB </span>","children":null,"spread":false},{"title":"15.jpg <span style='color:#111;'> 73.28KB </span>","children":null,"spread":false},{"title":"16.jpg <span style='color:#111;'> 91.67KB </span>","children":null,"spread":false},{"title":"08.jpg <span style='color:#111;'> 47.25KB </span>","children":null,"spread":false},{"title":"07.jpg <span style='color:#111;'> 43.97KB </span>","children":null,"spread":false},{"title":"12.jpg <span style='color:#111;'> 59.02KB </span>","children":null,"spread":false},{"title":"05.jpg <span style='color:#111;'> 42.23KB </span>","children":null,"spread":false},{"title":"11.jpg <span style='color:#111;'> 41.39KB </span>","children":null,"spread":false},{"title":"04.jpg <span style='color:#111;'> 76.70KB </span>","children":null,"spread":false},{"title":"09.jpg <span style='color:#111;'> 52.02KB </span>","children":null,"spread":false},{"title":"03.jpg <span style='color:#111;'> 83.17KB </span>","children":null,"spread":false}],"spread":false},{"title":"YUV","children":[{"title":"akiyo_qcif_yuv_176x144x300.mat <span style='color:#111;'> 6.60MB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"Functions","children":[{"title":"prox_tnn.m <span style='color:#111;'> 1.68KB </span>","children":null,"spread":false},{"title":"tubalrank.m <span style='color:#111;'> 977B </span>","children":null,"spread":false},{"title":"Frontal2Lateral.m <span style='color:#111;'> 314B </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"Lateral2Frontal.m <span style='color:#111;'> 212B </span>","children":null,"spread":false},{"title":"FeatureSIM.m <span style='color:#111;'> 18.38KB </span>","children":null,"spread":false},{"title":"prox_nuclear_multi_Lateral.m <span style='color:#111;'> 222B </span>","children":null,"spread":false},{"title":"lrtc_tnn.m <span style='color:#111;'> 2.53KB </span>","children":null,"spread":false},{"title":"im_quality.m <span style='color:#111;'> 521B </span>","children":null,"spread":false},{"title":"Readme.txt <span style='color:#111;'> 70B </span>","children":null,"spread":false},{"title":"prox_nuclear_multi.m <span style='color:#111;'> 720B </span>","children":null,"spread":false},{"title":"PSNR.m <span style='color:#111;'> 260B </span>","children":null,"spread":false},{"title":"tprod.m <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false},{"title":"svdecon.m <span style='color:#111;'> 782B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 2.58KB </span>","children":null,"spread":false},{"title":"opts.tau <span style='color:#111;'> 0B </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"TC_Lu2019CVPR.pdf <span style='color:#111;'> 1.56MB </span>","children":null,"spread":false}],"spread":true},{"title":"TRPCA","children":[{"title":"Code-TRPCA","children":[{"title":"demo_trpca_image.m <span style='color:#111;'> 1.31KB </span>","children":null,"spread":false},{"title":"demo_trpca_toy.m <span style='color:#111;'> 884B </span>","children":null,"spread":false},{"title":"demo_trpca_YUV.m <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"Data","children":[{"title":"BSD","children":[{"title":"02.jpg <span style='color:#111;'> 57.96KB </span>","children":null,"spread":false},{"title":"06.jpg <span style='color:#111;'> 53.67KB </span>","children":null,"spread":false},{"title":"10.jpg <span style='color:#111;'> 69.01KB </span>","children":null,"spread":false},{"title":"13.jpg <span style='color:#111;'> 72.49KB </span>","children":null,"spread":false},{"title":"01.jpg <span style='color:#111;'> 52.94KB </span>","children":null,"spread":false},{"title":"14.jpg <span style='color:#111;'> 74.92KB </span>","children":null,"spread":false},{"title":"15.jpg <span style='color:#111;'> 73.28KB </span>","children":null,"spread":false},{"title":"16.jpg <span style='color:#111;'> 91.67KB </span>","children":null,"spread":false},{"title":"08.jpg <span style='color:#111;'> 47.25KB </span>","children":null,"spread":false},{"title":"07.jpg <span style='color:#111;'> 43.97KB </span>","children":null,"spread":false},{"title":"12.jpg <span style='color:#111;'> 59.02KB </span>","children":null,"spread":false},{"title":"05.jpg <span style='color:#111;'> 42.23KB </span>","children":null,"spread":false},{"title":"11.jpg <span style='color:#111;'> 41.39KB </span>","children":null,"spread":false},{"title":"04.jpg <span style='color:#111;'> 76.70KB </span>","children":null,"spread":false},{"title":"09.jpg <span style='color:#111;'> 52.02KB </span>","children":null,"spread":false},{"title":"03.jpg <span style='color:#111;'> 83.17KB </span>","children":null,"spread":false}],"spread":false},{"title":"YUV","children":[{"title":"akiyo_qcif_yuv_176x144x300.mat <span style='color:#111;'> 6.60MB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"Functions","children":[{"title":"prox_tnn.m <span style='color:#111;'> 1.68KB </span>","children":null,"spread":false},{"title":"tubalrank.m <span style='color:#111;'> 977B </span>","children":null,"spread":false},{"title":"Frontal2Lateral.m <span style='color:#111;'> 314B </span>","children":null,"spread":false},{"title":"Lateral2Frontal.m <span style='color:#111;'> 212B </span>","children":null,"spread":false},{"title":"trpca_tnn.m <span style='color:#111;'> 2.82KB </span>","children":null,"spread":false},{"title":"im_quality.m <span style='color:#111;'> 524B </span>","children":null,"spread":false},{"title":"prox_l1.m <span style='color:#111;'> 237B </span>","children":null,"spread":false},{"title":"tprod.m <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"TRPCA_Lu2016CVPR.lnk <span style='color:#111;'> 895B </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明