找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Blind Source Separation; Advances in Theory, Ganesh R. Naik,Wenwu Wang Book 2014 Springer-Verlag Berlin Heidelberg 2014 Blind Source Separ

[復(fù)制鏈接]
樓主: TIBIA
41#
發(fā)表于 2025-3-28 18:11:22 | 只看該作者
Subband-Based Blind Source Separation and Permutation Alignmenticular with a focus on the inherent permutation alignment problem associated with this approach, and bring attention to the most recent developments in this area, including the joint BSS approach in solving the convolutive mixing problem.
42#
發(fā)表于 2025-3-28 20:50:32 | 只看該作者
Ganesh R. Naik,Wenwu WangCovers the latest cutting edge topics on BSS and emphasis on the open problems.Present both theory and applications with examples.Offers unique in-depth analysis of BSS/ICA topics.Includes most advanc
43#
發(fā)表于 2025-3-28 23:19:15 | 只看該作者
Signals and Communication Technologyhttp://image.papertrans.cn/b/image/189150.jpg
44#
發(fā)表于 2025-3-29 04:36:49 | 只看該作者
45#
發(fā)表于 2025-3-29 09:10:29 | 只看該作者
https://doi.org/10.1007/978-3-662-59691-3urce separation problem. For the proof of concepts, the focus is on the scenario where the number of mixtures is not less than that of the sources. Based on the assumption that the sources are sparsely represented by some dictionaries, we present a joint source separation and dictionary learning alg
46#
發(fā)表于 2025-3-29 11:43:21 | 只看該作者
47#
發(fā)表于 2025-3-29 16:39:23 | 只看該作者
https://doi.org/10.1007/978-3-662-59691-3icular with a focus on the inherent permutation alignment problem associated with this approach, and bring attention to the most recent developments in this area, including the joint BSS approach in solving the convolutive mixing problem.
48#
發(fā)表于 2025-3-29 21:02:27 | 只看該作者
https://doi.org/10.1007/978-3-662-59691-3erent source vectors during the source separation process. It can theoretically avoid the permutation problem inherent to independent component analysis (ICA). The dependency in each source vector is maintained by adopting a multivariate source prior instead of a univariate source prior. In this cha
49#
發(fā)表于 2025-3-30 00:47:57 | 只看該作者
Das neue Profil des Top-Managers set of unknown source data (one-dimensional signals, images, ...) from observed mixtures of these data, while the mixing operator has unknown parameter values. The second task is Blind Mixture Identification (BMI), which aims at estimating these unknown parameter values of the mixing operator. We p
50#
發(fā)表于 2025-3-30 04:33:03 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-12 20:17
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
兴义市| 依安县| 卓资县| 阿荣旗| 盈江县| 新营市| 姜堰市| 密山市| 湄潭县| 宜州市| 昆明市| 唐河县| 宁安市| 治多县| 阳江市| 南陵县| 子长县| 厦门市| 财经| 望城县| 衡山县| 科技| 石门县| 天镇县| 沂源县| 正安县| 揭阳市| 富宁县| 玉田县| 乐清市| 湘阴县| 高密市| 无棣县| 高陵县| 皮山县| 台湾省| 沙河市| 宝鸡市| 南靖县| 广灵县| 波密县|