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

3,922 篇 会议
177 篇 期刊文献
23 册 图书
3 篇 学位论文

馆藏范围

4,126 篇 电子文献
10 种 纸本馆藏

日期分布

学科分类号

2,878 篇 工学
- 1,425 篇 计算机科学与技术...
- 1,412 篇 电气工程
- 576 篇 软件工程
- 470 篇 信息与通信工程
- 280 篇 测绘科学与技术
- 207 篇 生物医学工程（可授...
- 206 篇 仪器科学与技术
- 181 篇 光学工程
- 178 篇 电子科学与技术（可...
- 100 篇 机械工程
- 87 篇 控制科学与工程
- 70 篇 材料科学与工程（可...
- 58 篇 航空宇航科学与技...
- 49 篇 生物工程
- 24 篇 化学工程与技术
- 19 篇 核科学与技术
- 18 篇 动力工程及工程热...
2,125 篇 理学
- 1,704 篇 物理学
- 505 篇 数学
- 65 篇 生物学
- 46 篇 化学
- 45 篇 系统科学
- 43 篇 统计学（可授理学、...
1,310 篇 医学
- 1,207 篇 临床医学
- 129 篇 特种医学
- 39 篇 基础医学(可授医学...
- 28 篇 药学(可授医学、理...
- 16 篇 公共卫生与预防医...
74 篇 管理学
- 49 篇 管理科学与工程(可...
- 26 篇 图书情报与档案管...
12 篇 法学
8 篇 军事学
6 篇 农学
5 篇 教育学
5 篇 文学
5 篇 艺术学
4 篇 经济学

主题

581 篇 image processing
494 篇 wavelets
348 篇 signal processin...
206 篇 image compressio...
189 篇 wavelet transfor...
176 篇 image segmentati...
145 篇 image coding
136 篇 image reconstruc...
123 篇 feature extracti...
122 篇 signal to noise ...
107 篇 sensors
105 篇 image quality
104 篇 image enhancemen...
101 篇 visualization
98 篇 image analysis
87 篇 denoising
81 篇 digital signal p...
78 篇 image resolution
77 篇 image filtering
77 篇 signal processin...

机构

11 篇 rice univ dept e...
11 篇 ecole polytech f...
10 篇 chelyabinsk stat...
9 篇 ecole polytech f...
9 篇 tampere univ tec...
8 篇 cicese dept comp...
7 篇 ecole polytech f...
7 篇 univ illinois de...
7 篇 ohu univ sch pha...
7 篇 don state tech u...
7 篇 rice univ dept e...
6 篇 ecole polytech f...
6 篇 univ southern ca...
6 篇 swiss fed inst t...
6 篇 univ maryland de...
6 篇 swiss fed inst t...
5 篇 rice univ dept m...
5 篇 mks imaging tech...
5 篇 univ houston dep...
5 篇 cicese dept comp...

作者

45 篇 ebrahimi touradj
18 篇 unser m
17 篇 kober vitaly
17 篇 agaian sos s.
13 篇 richter thomas
12 篇 schelkens peter
12 篇 ebrahimi t
10 篇 blu t
10 篇 upenik evgeniy
10 篇 ramchandran k
10 篇 baraniuk r
9 篇 astola j
9 篇 philips wilfried
8 篇 vetterli m
8 篇 jones kj
8 篇 alparone l
8 篇 cohen l
8 篇 pizurica aleksan...
8 篇 choi h
8 篇 testolina michel...

语言

4,035 篇 英文
46 篇 其他
26 篇 土耳其文
19 篇 中文

检索条件"任意字段=Wavelets - Applications in Signal and Image Processing X Conference"

共 4126 条记录，以下是3771-3780 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：

Construction of matched Meyer wavelets for auditory and visual neural waveforms

Construction of matched Meyer wavelets for auditory and visu...

引用

European signal processing conference (EUSIPCO)

We have illustrated the construction of matched Meyer wavelets for auditory and visual neural waveforms, and have demonstrated that MRAs using such wavelets achieve a physiologically natural decomposition of ERPs that can localize functionally meaningful clinical effects. Designer neural wavelets hold considerable potential for customizing neural signal and image processing for advanced clinical and experimental applications.

关键词： Visualization image processing Biology Matched filters Cognition Standards Indexes

来源：评论

学校读者我要写书评

暂无评论

wavelets in music analysis and synthesis: Timbre analysis and perspectives

Wavelets in music analysis and synthesis: Timbre analysis an...

引用

SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation

作者： Alves Faria, Regis R. Ruschioni, Ruggero A. Zuffo, Joao A. Dept. of Electronic Engineering University of São Paulo Av. Prof. Luciano Gualberto 158 tv 3 05508-900 - São Paulo SP Brazil

Music is a vital element in the process of comprehending the world where we live and interact with. Frequency it exerts a subtle but expressive influence over a society's evolution line. Analysis and synthesis of music and musical instruments has always been associated with forefront technologies available at each period of human history, and there is no surprise in witnessing now the use of digital technologies and sophisticated mathematical tools supporting its development. Fourier techniques have been employed for years as a tool to analyze timbres' spectral characteristics, and re-synthesize them from these extracted parameters. Recently many modern implementations, based on spectral modeling techniques, have been leading to the development of new generations of music synthesizers, capable of reproducing natural sounds with high fidelity, and producing novel timbres as well. wavelets are a promising tool on the development of new generations of music synthesizers, counting on its advantages over the Fourier techniques in representing non-periodic and transient signals, with complex fine textures, as found in music. In this paper we propose and introduce the use of wavelets addressing its perspectives towards musical applications. The central idea is to investigate the capacities of wavelets in analyzing, extracting features and altering fine timbre components in a multiresolution time- scale, so as to produce high quality synthesized musical sounds. ©2005 Copyright SPIE - The International Society for Optical Engineering.

关键词： Music

来源：评论

学校读者我要写书评

暂无评论

Preliminary characterization of a hybrid optical - Digital ISAR processor

Preliminary characterization of a hybrid optical - Digital I...

引用

conference on Radar processing, Technology, and applications

作者： Olmstead, T Sunderlin, TA Wasilousky, PA Photonic Systems Inc. (United States)

ISBN: (纸本)0819422339

We previously reviewed the architecture and basic analytic results for a hybrid optical-digital processor capable of generating target range Doppler profiles in real time. Here we describe the optical design and present preliminary results for the optical correlator portion of the hybrid system. Phase control, fringe stability, and preliminary correlation data for the optical system are reported.

关键词： optical processing range-Doppler image radar imaging optical correlator hybrid signal processing

来源：评论

学校读者我要写书评

暂无评论

Wavelet-based denoising methods. A comparative study with applications in microscopy

Wavelet-based denoising methods. A comparative study with ap...

引用

4th conference on Wavelet applications in signal and image processing

作者： Cristobal, G Chagoyen, M EscalanteRamirez, B Lopez, JR CSIC INST OPTE-28006 MADRIDSPAIN

ISBN: (纸本)0819422134

This paper describes different methodologies for noise reduction or denoising with applications in the field of microscopy. An in depth study on wavelet- and polynomial based denoising has been performed by considering standard test images and phantom tests with moderate and high levels of Gaussian noise. Different thresholding methods have been tested and evaluated and in particular a novel sigmoidal- type thresholding method has been proposed. In real applications, noise variance estimation problem becomes crucial because most of the thresholding estimators tends to overestimate this value. A comparison with the Hermite polynomial transform (HPT) and a modification of the HPT based in detecting the position and orientation of relevant edges has been accomplished. From this study one can conclude that both wavelet-based and polynomial-based denoising methods perform better than any other nonlinear filtering method both in terms of perceptual quality and edge-preserving characteristics.

关键词： multiresolution wavelet transform Hermite transform denoising

来源：评论

学校读者我要写书评

暂无评论

Optimized vector quantization with fuzzy distortion measure

Optimized vector quantization with fuzzy distortion measure

引用

3rd International conference on applications of Fuzzy Logic Technology

作者： Mitra, S Pemmaraju, S TEXAS TECH UNIV DEPT ELECT ENGN COMP VIS & IMAGE ANAL LAB LUBBOCK TX 79409 USA

ISBN: (纸本)0819421421

From the perspective of information theory, the design of vector quantizers (VQs) in optimizing the rate distortion function has been extensively studied. In practice, however, the existing VQ algorithms, often, suffer from a number of serious problems, e.g., long search process, codebook initialization, and getting trapped in local minima, inherent to most iterative processes. The generalized Lloyd algorithm, for designing VQs with embedded k-means clustering for codebook generation has been recently used by a number of researcher for efficient image coding by quantizing wavelet decomposed subimages. We present a new approach to vector quantization by generating such multiresolution codebooks using two different neuro-fuzzy clustering techniques that eliminate the existing problems. These clustering techniques integrate fuzzy optimization constraints from the fuzzy-C-means with self-organizing neural network architectures. In one of the new clustering techniques, a new distance measure has also been introduced. The resulting multiresolution codebooks generated from the wavelet decomposed images yield significant improvement in the coding process. The signal transformation and vector quantization stages together yield, at least, 64:1 bit rate reduction with good visual quality and acceptable peak signal to noise ratio (PSNR) and mean square error (MSE). Additional bit rate reduction can be easily obtained by employing conventional entropy encoding after the quantization stage. The performance of this new VQ coding technique has been compared to that of the well-known Linde, Buzo, and Gray (LBG) - VQ for a variety of image classes. The new VQ technique demonstrated superior ability for fast convergence with minimum distortion at similar bit rate reduction then the existing VQ technique for several classes of images/signals including standard test images and medical images in terms of mean-squared error (MSE), peak-signal-to- noise-ratio (PSNR), and visual quality.

关键词： wavelets Quantization Distortion Fuzzy logic image compression Neural networks Reconstruction algorithms Medical imaging Visualization Distance measurement

来源：评论

学校读者我要写书评

暂无评论

A family of image compression algorithms which are robust to transmission errors

A family of image compression algorithms which are robust to...

引用

4th conference on Wavelet applications in signal and image processing

作者： Creusere, CD USN AIR WARFARE CTRCHINA LAKECA 93555

ISBN: (纸本)0819422134

In this work, we present a new family of image compression algorithms derived from Shapiro's embedded zerotree wavelet (EZW) coder. These new algorithms introduce robustness to transmission errors into the bit stream while still preserving its embedded structure. This is done by partitioning the wavelet coefficients into groups, coding each group independently, and interleaving the bit streams for transmission, thus if one bit is corrupted, then only one of these bit streams will be truncated in the decoder. If each group of wavelet coefficients uniformly spans the entire image, then the objective and subjective qualities of the reconstructed image are very good. To illustrate the advantages of this new family, we compare it to the conventional EZW coder. For example, one variation has a peak signal to noise ratio (PSNR) slightly lower than that of the conventional algorithm when no errors occur, but when a single error occurs at bit 1000, the PSNR of the new coder is well over 5 dB higher for both test images. Finally, we note that the new algorithms do not increase the complexity of the overall system and, in fact, they are far more easily parallelized than the conventional EZW coder. ©2005 Copyright SPIE - The International Society for Optical Engineering.

关键词： error resilience embedded zerotree wavelet image compression robust compression

来源：评论

学校读者我要写书评

暂无评论

Application of the wavelet transform in seismic data processing for the development of new noise reduction techniques

Application of the wavelet transform in seismic data process...

引用

4th conference on Wavelet applications in signal and image processing

作者： Kourouniotis, FP Kubichek, RF Boyd, NGK Majumdar, AK UNIV WYOMING DEPT ELECT ENGNLARAMIEWY 82071

ISBN: (纸本)0819422134

New techniques for developing more efficient noise reduction schemes are presented and implemented by applying the wavelet transform (WT) to a series of stationary and non- stationary signals. Their effectiveness is illustrated with specific applications to both real and synthetic seismic data, and the superiority over Fourier transform (FT) based methods is demonstrated. These methods aim at the efficient reduction of the effects that surface waves, airwaves, and direct waves can have on the interpretation of a seismic record. We first apply the WT on each trace in a common- depth-point gather and then perform stacking in the WT domain and compute both the mean and median transforms. Then, the signal-to-noise ratio of the stacked transforms is estimated and used as a criterion to improve the quality of the transformed data, and finally the total energy in the stacked WT plane is computed and redistributed in order to boost weak events. The advantage of stacking in the WT domain is that it allows for detection of weak reflections overpowered by high amplitude surface and air waves. Additionally, it is shown that by frequency modulating a mother wavelet, further attenuation of surface waves, airwaves, and first breaks may be achieved.

关键词： wavelet transform stacking seismic data analysis frequency modulation signal-to-noise ratio noise reduction

来源：评论

学校读者我要写书评

暂无评论

applications of time-frequency processing to radar imaging

Applications of time-frequency processing to radar imaging

引用

Wavelet applications III conference

作者： Chen, VC USN RES LABDIV RADARWASHINGTONDC 20375

ISBN: (纸本)081942143X

High resolution radar image is always demanded. To achieve high resolution, wideband signal and longer imaging time are required. However, due to time-varying behavior of returned radar signals and due to multiple backscattering behavior of targets, radar image resolution can be significantly degraded and images become blurred. The conventional radar processor uses the Fourier transform to retrieve Doppler information. In order to use the Fourier transform adequately, some restrictions must be applied: the scatterers must remain in their range cells and their Doppler frequency contents should be stationary during the entire imaging time duration. However, due to the target's complex motion, the Doppler frequency contents are actually time-varying. Therefore, the Doppler spectrum obtained from the Fourier transform becomes smeared, and, thus, the resolution of the radar image is degraded. However, the restrictions of the Fourier processing can be lifted if the Doppler information can be retrieved with a method which does not require stationary Doppler spectrum. Therefore, the image blurring caused by the time-varying Doppler spectrum can be resolved without applying sophisticated motion compensation. By replacing the conventional Fourier transform with a time-frequency transform, a 2-D range-Doppler Fourier frame becomes a 3- D time-range-Doppler cube. By sampling in time, a time sequence of 2-D range-Doppler images can be viewed. Each individual time-sampled image from the cube provides superior image resolution and also enhanced signal-to-noise ratio. When the target contains cavities or duct-type structures, these scattering mechanisms appear in radar images as blurred clouds extended in range dimension. It is very useful to combine adaptive time-frequency wavelet transform with the radar imaging technique so that the 'clouds' can be removed and their resonance frequencies can be identified. By applying time-frequency processing for each cross-range lines of radar

关键词： radar imaging adaptive wavelet transform time-frequency processing

来源：评论

学校读者我要写书评

暂无评论

Psychoacoustic frequency-scales versus frequency-warping in scale-cepstrum

Psychoacoustic frequency-scales versus frequency-warping in ...

引用

4th conference on Wavelet applications in signal and image processing

作者： Umesh, S Cohen, L Marinovic, N Nelson, D INDIAN INST TECHNOL DEPT ELECT ENGNKANPUR 208016UTTAR PRADESHINDIA

ISBN: (纸本)0819422134

In this paper, we derive a frequency-warping function by analyzing speech data obtained from the TIMIT database. Until now, numerous frequency scales have been proposed, based purely on psychoacoustic studies. Many speech recognition algorithms have been using such frequency scales for the spectral analysis at the signal processing front- end. The motivation for the use of such psychoacoustic frequency scales, is that, since these are based on the properties of the human auditory perception, they may provide accurate representation of the relevant spectral information in speech. Since the preference of one scale over another is ad hoc, and since the goal is to achieve better recognition, experiments are conducted to determine if better recognition rates are indeed obtained using any one such scale. In this paper, we analyze actual speech data, and present evidence of the kind of frequency-warping that may be necessary to achieve speaker-independent recognition of vowels. This provides us with the motivation to use such frequency-warping functions in speech recognition. Surprisingly, the frequency-warping obtained is similar to the Mel-scale obtained from psychoacoustic studies. This suggests that the ear may be using such a frequency-warping to remove extraneous speaker-specific information, while identifying and recognizing phonemes.

关键词： Filtering (signal processing) Ear Speech recognition signal processing Databases Fourier transforms Linear filtering Feature extraction Detection and tracking algorithms Optical filters

来源：评论

学校读者我要写书评

暂无评论

Multiresolution adaptive noise filtering based on Laplacian pyramids

Multiresolution adaptive noise filtering based on Laplacian ...

引用

4th conference on Wavelet applications in signal and image processing

作者： Aiazzi, B Alparone, L Baronti, S Borri, G Susini, C CNR IROENELLO CARRARA RES INST ELECTROMAGNET WAVESI-50127 FLORENCEITALY

ISBN: (纸本)0819422134

A recently investigated approach to noise filtering in digital images consists of considering a multiresolution decomposition of the input image, and applying a different adaptive filter to each resolution layer. The wavelet decomposition has been employed for multiresolution noise- reduction, thanks to its capability to capture spatial features within frequency subbands. Conversely, Laplacian pyramids (LP) look attractive because of their full band- pass frequency property, which enables connected image structures to be represented on multiple scales. The idea of the present work is to apply an adaptive minimum mean squared error filter to the connectivity-preserving different resolution layers into which the noisy image is decomposed. For natural images, each layer of the LP is characterized by a signal-to-noise ratio (SNR) that decreases for increasing spatial resolution. Therefore, each filter may be tuned to the SNR of the related layer, so as to preserve the spatial details of the less noisy layers to a larger extent. Once all the resolutions, including the base-band, have been adaptively smoothed, a noise-filtered image version is achieved by recombining the layers of the LP. Theoretical frameworks are developed for both additive and multiplicative noise models. Experimental results of de- noising carried out on images with simulated noise and on true synthetic aperture radar images validate the potentiality of the approach in terms of both SNR improvement and visual quality.

关键词： image processing noise filtering edge-preserving smoothing multiresolution analysis Laplacian pyramid adaptive filtering MMSE filtering multiplicative noise speckle Synthetic Aperture Radar images

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413页 << < 374 375 376 377 378 379 380 381 382 383 > >>

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：