检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

2,186 篇 会议
23 篇 期刊文献
5 册 图书

馆藏范围

2,214 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

1,307 篇 工学
- 756 篇 计算机科学与技术...
- 597 篇 电气工程
- 404 篇 信息与通信工程
- 390 篇 软件工程
- 133 篇 电子科学与技术（可...
- 114 篇 光学工程
- 99 篇 生物医学工程（可授...
- 75 篇 仪器科学与技术
- 59 篇 控制科学与工程
- 56 篇 测绘科学与技术
- 42 篇 机械工程
- 25 篇 生物工程
- 21 篇 轻工技术与工程
- 16 篇 化学工程与技术
- 13 篇 航空宇航科学与技...
- 11 篇 材料科学与工程（可...
- 10 篇 力学（可授工学、理...
985 篇 理学
- 590 篇 数学
- 530 篇 物理学
- 66 篇 统计学（可授理学、...
- 49 篇 系统科学
- 30 篇 生物学
- 18 篇 化学
365 篇 医学
- 351 篇 临床医学
- 32 篇 基础医学(可授医学...
- 28 篇 特种医学
- 27 篇 药学(可授医学、理...
46 篇 管理学
- 30 篇 管理科学与工程(可...
- 20 篇 图书情报与档案管...
15 篇 法学
- 10 篇 法学
7 篇 军事学
4 篇 农学
2 篇 艺术学
1 篇 经济学
1 篇 教育学
1 篇 文学

主题

406 篇 wavelet transfor...
313 篇 discrete wavelet...
273 篇 image coding
181 篇 image processing
177 篇 wavelets
160 篇 signal processin...
116 篇 wavelet transfor...
108 篇 image compressio...
101 篇 image reconstruc...
96 篇 wavelet analysis
87 篇 feature extracti...
82 篇 signal processin...
79 篇 image segmentati...
71 篇 watermarking
71 篇 image resolution
66 篇 noise reduction
65 篇 filter bank
65 篇 psnr
65 篇 discrete wavelet...
63 篇 wavelet

机构

7 篇 rice univ dept e...
6 篇 rice univ housto...
5 篇 maharishi school...
5 篇 department of el...
5 篇 swiss fed inst t...
4 篇 rice univ dept m...
4 篇 swiss fed inst t...
4 篇 rice univ dept e...
3 篇 univ arizona col...
3 篇 mks imaging tech...
3 篇 centre of resear...
3 篇 cnr iroe nello c...
3 篇 school of scienc...
3 篇 univ illinois de...
3 篇 indian inst tech...
3 篇 texas a&m univ c...
3 篇 purdue univ west...
3 篇 mohammed bin ras...
3 篇 tel aviv univ sc...
3 篇 polytech univ br...

作者

19 篇 unser m
9 篇 baraniuk r
8 篇 blu t
8 篇 alparone l
8 篇 choi h
7 篇 gholamreza anbar...
7 篇 ebrahimi t
7 篇 hasan demirel
6 篇 vetterli m
6 篇 ramchandran k
6 篇 do mn
5 篇 averbuch az
5 篇 demirel hasan
5 篇 baronti s
5 篇 jones kj
5 篇 aldroubi a
5 篇 cohen l
5 篇 anbarjafari ghol...
5 篇 olmo g
5 篇 jin gf

语言

2,125 篇 英文
64 篇 土耳其文
15 篇 中文
10 篇 其他

检索条件"任意字段=Conference on Wavelet Applications in Signal and Image Processing VII"

共 2214 条记录，以下是301-310 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

wavelet-domain filtering for photon imaging systems

Wavelet-domain filtering for photon imaging systems

引用

conference on wavelet applications in signal and image processing V

作者： Nowak, R Baraniuk, R Michigan State Univ. (United States) Rice Univ. (United States)

ISBN: (纸本)0819425915

Many imaging systems rely on photon detection as the basis of image formation. One of the major sources of error in these systems is Poisson noise due to the quantum nature of the photon detection process. Unlike additive Gaussian noise, Poisson noise is signal-dependent, and consequently separating signal from noise is a very difficult task. In this paper, we develop a novel wavelet-domain filtering procedure for noise removal in photon imaging systems. The filter adapts to both the signal and the noise and balances the trade-off between noise removal and excessive smoothing of image details. Designed using the statistical method of cross-validation, the filter is simultaneously optimal in a small-sample predictive sum of squares sense and asymptotically optimal in the mean square error sense. The filtering procedure has a simple interpretation as a joint edge detection/estimation process. Moreover, we derive an efficient algorithm for performing the filtering that has the same order of complexity as the fast wavelet transform itself. The performance of the new filter is assessed with simulated data experiments and tested with actual nuclear medicine imagery.

关键词： wavelets photon imaging Poisson processes denoising

来源：评论

学校读者我要写书评

暂无评论

Seismic data compression: a comparative study between GenLOT and wavelet compression

Seismic data compression: a comparative study between GenLOT...

引用

Proceedings of the 1999 wavelet applications in signal and image processing vii

作者： Duval, Laurent C. Nguyen, Truong Q. Inst Francais du Petrole Rueil-Malmaison France

Generalized Lapped Orthogonal Transform (GenLOT) based image coder is used to compress 2-D seismic data sets. Its performance is compared to the results using wavelet-based image coder. Both algorithms use the same state-of-the-art zerotree coding for consistency and fair comparison. Several parameters such as filter length and objective cost function are varied to find the best suited filter banks. It is found that for raw data, filter bank with long overlapping filters should be used for processing signals along the time direction whereas filter bank with short filters should be used for processing signal along the distance direction. This combination yields the best results.

关键词： image compression

来源：评论

学校读者我要写书评

暂无评论

Fractal-wavelet image denoising

Fractal-wavelet image denoising

引用

IEEE International conference on image processing

作者： Ghazel, M Freeman, GH Vrscay, ER Univ Waterloo Dept Elect & Comp Engn Waterloo ON N2L 3G1 Canada

ISBN: (纸本)0780376226

In this paper, we propose a simple yet effective fractal-wavelet scheme for edge-preserving smoothing of noisy images. Over the past decade, there has been significant interest in fractal coding for the purpose of image compression. Fractal-wavelet transforms were introduced in an effort to reduce the blockiness and computational complexity that are inherent in fractal image compression. applications of fractal-based coding to other aspects of image processing, however, have received little attention. Recently, the authors proposed a simple yet effective fractal-based image denoising scheme that is applied in the spatial domain of the image. In this paper we extend the application of this fractal denoising scheme to the wavelet domain of the image. We find that when the wavelet transform of the noisy image is simply fractally coded, a significant amount of the noise is suppressed. However, one can go a step further and estimate the fractal code of the wavelet transform of the original noise-free image from that of the wavelet transform of the noisy image. The use of the quadtree partitioning scheme for the purpose of fractal-wavelet coding results in a significantly enhanced and restored representation of the original noisy image. The enhancement is consistent with the human visual system where extra smoothing is performed in flat and low activity regions and a lower degree of smoothing is performed near high frequency components, e.g. edges, of the image. The main advantage of the wavelet-based fractal denoising scheme over the standard fractal denoising scheme is that it is computationally less expensive.

关键词： image coding

来源：评论

学校读者我要写书评

暂无评论

wavelet transforms for infrared applications

Wavelet transforms for infrared applications

引用

21st conference on Infrared Technology

作者： LEJEUNE, C DEF RES ESTAB VALCARTIER COURCELETTEPQ G0A 1R0CANADA

ISBN: (纸本)0819419117

The wavelet transform has gained much in popularity recently. Although the concepts underlying the wavelet transform have been used for some time, it is only in the last seven years that it began to have an impact, especially on signal and image processing. wavelets have applications in differential equations, signal processing, image and video compression, and many other domains. We provide a brief introduction to wavelets and wavelet analysis, and compare the wavelet and Fourier transforms. The wavelet transform allows us to analyze nonstationary signals, which the Fourier transform cannot. This is a very important property of wavelets. A wavelet decomposition makes it possible to analyze a signal both in time (or space) and frequency domains and is appropriate for multiresolution analysis. One interesting application of wavelets is image fusion. For this application we take the wavelet transform of images coming from different sensors (e.g., visible and infrared). This provides us with a multiresolution description of visible and infrared images. The two images are then merged at each level of resolution. Applying the inverse wavelet transform on the resulting image generates a new image which is a composite of the two original ones. This concept can be applied to more than two images whether they are in the same spectral band or not. Some results are presented and compared with the classical pyramidal algorithms of Burt and Toet.

关键词： wavelet TRANSFORM MULTIRESOLUTION ANALYSIS image FUSION

来源：评论

学校读者我要写书评

暂无评论

wavelet packet hopping

Wavelet packet hopping

引用

4th conference on wavelet applications in signal and image processing

作者： Davidson, TN Wong, KM MCMASTER UNIV COMMUN RES LABHAMILTONON L8S 4K1CANADA

ISBN: (纸本)0819422134

wavelet packet division multiplexing (WPDM) is a multiplexing scheme in which the message signals are coded onto wavelet packet basis functions for transmission. A feature of WPDM is that the coding waveforms overlap in time and frequency, which can provide greater capacity and greater immunity to certain channel imperfections that time division and frequency division multiplexing. By analogy with frequency-hopped communication schemes, the WPDM scheme can be further enhanced by providing a framework for hopping the transmission parameters of the scheme in a pattern which is known by the receiver. In this paper, we exploit the underlying filter back structure of WPDM and the recent development of time-varying filter banks for signal analysis to provide a framework for slow wavelet packet hopping which does not compromise the data rate.

关键词： multiplexing time-varying filter banks and wavelet packets frequency hopping

来源：评论

学校读者我要写书评

暂无评论

AUTOMATIC SEGMENTATION OF CARDIOSYNCHRONOUS WAVEFORMS USING CEPSTRAL ANALYSIS AND CONTINUOUS wavelet TRANSFORMS

AUTOMATIC SEGMENTATION OF CARDIOSYNCHRONOUS WAVEFORMS USING ...

引用

19th IEEE International conference on image processing (ICIP)

作者： Bhagavatula, Chandrasekhar Jaech, Aaron Savvides, Marios Bhagavatula, Vijayakumar Friedman, Robert Blue, Rebecca Griofa, Marc O. Carnegie Mellon Univ 5000 Forbes Ave Pittsburgh PA 15213 USA Noninvas Med Technol Las Vegas NV 89118 USA Univ Texas Med Branch Galveston TX 77555 USA Univ Limerick Limerick Ireland

ISBN: (纸本)9781467325332;9781467325349

The cardiosynchronous signal obtained through Radio Frequency Impedance Interrogation (RFII) is a non-invasive method for monitoring hemodynamics with potential applications in combat triage and biometric identification. The RFII signal is periodic in nature dominated by the heart beat cycle. The first step in both of these applications is to segment the signal by identifying a fiducial point in each heart beat cycle. A continuous wavelet transform was utilized to locate the fiducial points with high temporal resolution. Cepstral Analysis was used to estimate the average heart rate to focus on the appropriate portion of the time-frequency spectrum. Robust heartbeats from RFII signals collected from four subjects were segmented using this method.

关键词： Biomedical Biometrics ECG RFII wavelets

来源：评论

学校读者我要写书评

暂无评论

A multiscale geometric filter based on the wavelet transform

A multiscale geometric filter based on the wavelet transform

引用

4th conference on wavelet applications in signal and image processing

作者： Alparone, L Argenti, F Garzelli, A UNIV FLORENCE DEPT ELECT ENGNI-50139 FLORENCEITALY

ISBN: (纸本)0819422134

A viable approach to noise filtering in a spatially heterogeneous environment consists of considering a multiresolution representation of the noisy image, nd of applying a different adaptive filter to each layer. The wavelet decomposition has been widely employed, thanks to its capability to capture spatial features within frequency subbands. Geometric filter is a nonlinear local operator that exploits a morphologic approach to smooth noise using a complementary hull algorithm, which as the effect of gradually reducing the maximum curvature of the boundary of the grey-level profile along all of the 8-neighbor directions. The idea of the present scheme is to apply the complementary-hull algorithm to the different subbands into which the noisy image is decomposed. The hull is applied only on the direction along which the signal is structured. The number of iterations is adjusted to the SNR of the subbands, so as to preserve spatial details to the largest extent. Results and comparisons with the standard geometric filter are presented for images affected by synthetic multiplicative noise. ©2005 Copyright SPIE - The International Society for Optical Engineering.

关键词： image processing noise filtering adoptive filtering multiresolution analysis wavelet transform geometric filter SAR images speckle noise

来源：评论

学校读者我要写书评

暂无评论

Techniques and applications of image and signal processing : A Theoretical Approach 8

Techniques and Applications of Image and Signal Processing :...

引用

8th IEEE International conference on image and signal processing and their applications, ISPA 2024

作者： Aicha, Metales Amina, Ait Elhadj University Djillali Liabes of Sidi Belabbes Ain Temouchent Algeria University Mohamed Khider of Biskra Biskra Algeria

ISBN: (纸本)9798350309249

This paper comprehensively overviews image and signal processing, including their fundamentals, advanced techniques, and applications. image processing involves analyzing and manipulating digital images, while signal processing focuses on analyzing and interpreting signals in various domains. The fundamentals encompass digital signal representation, Fourier analysis, wavelet transforms, filtering, and noise removal. Advanced techniques, such as deep learning for image classification and object detection, are explored. image and signal processing applications include computer vision, medical imaging, audio processing, and communications. This paper is a valuable resource for understanding image and signal processing principles and applications, fostering further research and development in these fields. © 2024 IEEE.

关键词： Computer vision

来源：评论

学校读者我要写书评

暂无评论

Estimation of a semi parametric model of fMRI data

Estimation of a semi parametric model of fMRI data

引用

conference on wavelets - applications in signal and image processing IX

作者： Meyer, FG Univ Colorado Dept Elect Engn Boulder CO 80309 USA

ISBN: (纸本)0819441929

This work provides a new approach to estimate the parameters of a semi-parametric generalized linear model in the wavelet domain. The method is illustrated with the problem of detecting significant changes in fMRI signals that are correlated to a stimulus time course. The fMRI signal is described as the sum of two effects : a smooth trend and the response to the stimulus. The trend belongs to a subspace spanned by large scale wavelets. We have developed a scale space regression that permits to carry out the regression in the wavelet domain while omitting the scales that are contaminated by the trend. Experiments with fMRI data demonstrate that our approach can infer and remove drifts that cannot be adequately represented with low degree polynomials. Our approach results in a noticeable improvement by reducing the false positive rate and increasing the true positive rate.

关键词： Functional magnetic resonance imaging wavelets Data modeling signal detection Brain mapping Brain Data centers image segmentation signal processing wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

wavelet based image denoising using adaptive thresholding

Wavelet based image denoising using adaptive thresholding

引用

7th International conference on Computational Intelligence and Multimedia applications

作者： Sudha, S. Suresh, G. R. Sukanesh, R. Sona Coll Tech Salem 5 Tamil Nadu India Thiagarajar Coll Engg Madurai 15 Tamil Nadu India

ISBN: (纸本)0769530508

The denoising of a natural image corrupted by Gaussian noise is a long established problem in signal or image processing Even though much work has been done in the field of wavelet thresholding, most of it was focused on statistical modeling of wavelet coefficients and the optimal choice of thresholds. This paper describes a new method for suppression of noise in image by fusing the wavelet Denoising technique with optimized thresholding function, improving the denoised results significantly. Simulated noise images are used to evaluate the denoising performance of proposed algorithm along with another wavelet-based denoising algorithm. Experimental result shows that the proposed denoising method outperforms standard wavelet denoising techniques in terms of the PSNR and the preservation of edge information. We have compared this with various denoising methods like wiener filter Visit Shrink, Oracle Shrink and Bayes Shrink.

关键词： image processing

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共222页 << < 27 28 29 30 31 32 33 34 35 36 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：