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2001-2010 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：

Assessment of single-frame resolution enhancement algorithms

Assessment of single-frame resolution enhancement algorithms

引用

IEEE signal processing and Communications applications (SIU)

作者： Huseyin Ozdemir Bulent Sankur Elektrik ve Elektronik Muhendisligi Bolumu Bogazici Universitesi Turkey

This paper provides subjective and objective a comparison of a multi-frame superresolution algorithm with four different single-frame algorithms. The multi-frame super-resolution reconstruction is based on an adaptive filtering approach, using least mean squares (LMS). The single-frame methods are, respectively, bicubic interpolation, wavelet-based interpolation, edge-adaptive interpolation and interpolation using wide sense Markov random fields. The performance is measured objectively with. PSNR and SSIM criteria, while the subjective evaluation is based on forced choice scoring. Wilcoxon rho test is employed to check fort e degree of agreement between subjective and objective results.

关键词： Least squares approximation Interpolation PSNR Testing DH-HEMTs image reconstruction Adaptive filters Markov random fields Gaussian processes

来源：评论

学校读者我要写书评

暂无评论

Momentum Study Based on CRITIC Evaluation Method and Machine Learning

Momentum Study Based on CRITIC Evaluation Method and Machine...

引用

image processing and Computer applications (ICIPCA), IEEE International conference on

作者： Jinghua Zhou Jingruo Zhang Beijing Jiaotong University Beijing China

ISBN: (数字)9798350360240

ISBN: (纸本)9798350384161

This paper mainly focuses on the evaluation and prediction of sports competition results, and uses the methods of feature extraction, CRITIC weighted analysis and machine learning algorithm to discuss and analyze. First, after data preprocessing, the dimension of column data is reduced by feature extraction and the evaluation index is obtained. These metrics are then weighted using the CRITIC method to obtain a measure of quantified performance. Secondly, the correlation analysis model is introduced to prove the existence of momentum. Finally, by comparing the performance of XGBoost, Extra Trees and Random Forest algorithm in training and prediction, it is found that XGBoost algorithm has the best performance in AUC of test set, reaching 95.05%. The XGBoost parameters were further optimized by Bayesian optimization, and the signal was reconstructed by combining wavelet analysis to improve the accuracy and robustness of the model.

关键词： Analytical models Machine learning algorithms Correlation Games Feature extraction wavelet analysis Prediction algorithms Robustness Random forests Sports

来源：评论

学校读者我要写书评

暂无评论

OPTICAL wavelet-BASED signal processing

OPTICAL WAVELET-BASED SIGNAL PROCESSING

引用

IJCNN International Joint conference on Neural Networks

作者： Yao Li NEC Research Inatliute

After a successful application to the analysis of seismic data in 1984,the geophysicist J. Morlet[1]formalized the concept of wavelets by generalizing similar mathematical and physical decomposition concepts from the previous works of Harr(1910),Gabor(1946),Calderon (1964),etc..Closely related to the concept of pyramids,the key component of the wavelet theory is a set of look-alike functions called wavelets which can form an efficient and powerful decomposition *** square-integrable signal can be selected as the so-called mother wavelet which,in turn,generates a family of daughter wavelets by *** unique feature of the wavelet processing is that not only a multi-resolution signal decomposition can be achieved through a set of linear correlation operations between the input signal and the wavelets,but also the original signal can be reconstructed from the decomposed signals through their convolutions with the same set of *** other interesting feature of the wavelet processing is its capability of forming an orthonomal decomposition basis allowing for an efficient sampling, which could not be achieved by otheT existing windowed Fourier transforms,such as the Gabor *** addition to a successful application to the seismic and geological data,the usefulness of the wavelets to the fractal,turbulence,speech and vision analysis as well as to other industrial and military signal and image processing applications has also been recognized recently. Since a complete wavelet process consists of a direct(DWT) and an inverse(IWT) wavelet transforms characterized by a set of parallel linear correlation and convolution operations,extensive computations are ***,the coordinate expansion and reduction required by the transforms may place additional computation complexity to digital ***-space optics which is inherent to massively parallel linear operations is expected to have solutions to these problems[2,3].Research on optica

关键词：

来源：评论

学校读者我要写书评

暂无评论

Comparative study of different spatial/spatial-frequency methods (Gabor filters, wavelets, wavelets packets) for texture segmentation/classification

Comparative study of different spatial/spatial-frequency met...

引用

IEEE International conference on image processing

作者： P. Vautrot N. Bonnet M. Herbin Université de Reims Champagne-Ardenne Reims France Unité Inserm 314 Université de Reims Champagne-Ardenne Reims France

The interest manifested into texture recognition has had a substantial growth since these past few years. Much research is focused on a joint space/spatial-frequency representation of images. This paper describes the comparison between different spatial/spatial-frequency methods involving Gabor filters and wavelets. Two applications are considered: image segmentation and texture classification/recognition. It has been seen that results can depend significantly on the method used to decompose the signal. Two aspects are mainly taken into account: the effect of an over-sampling of the frequency domain by a bank of filters, and the ability of 1D wavelets to segment/classify oriented textures. An improvement using angular filters with separable wavelets is demonstrated, while no noticeable amelioration is observed using Battle-Lemarie wavelets, as compared to Gabor filters.

关键词： Gabor filters wavelet packets Feature extraction image segmentation Sampling methods image recognition Filtering Frequency domain analysis Filter bank wavelet domain

来源：评论

学校读者我要写书评

暂无评论

An extension to the analytical Gabor expansion with applications in image coding

An extension to the analytical Gabor expansion with applicat...

引用

International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： A. Teuner P.A. Nielsen B.J. Hosticka Department of Electrical Engineering University of Duisburg-Essen Duisburg Germany Fraunhofer Institute of Microelectronic Circuits and System Duisburg Germany

We present an unified method that can be used to compute analytically the coefficients of the discrete non-orthogonal Gabor expansion for arbitrary type of orthogonal kernel. Based on the proposed algorithm an architecture is derived that enables a fast computation of modified time-frequency transforms such as Gabor-DCT. It is shown that for the special case of equidistant elementary cells the generalized Gabor transform can be modeled as a conventional block transform of modulated and filtered input signals. From this point of view it follows that the biorthogonal analysis window which is used in the modulation necessary for computation of the transform coefficients is independent of the selected orthogonal kernel. The problems caused by the non-stationarity of the modulated and filtered signal are discussed and the coding performance and energy compaction of the classical Gabor transform, the Gabor-DCT, and the well known block DCT are compared.< >

关键词： image analysis image coding Discrete transforms Kernel Discrete cosine transforms signal processing algorithms Gabor filters Frequency Shape Discrete wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

image compression utilizing the DTOCS, topological raster patterns and delaunay triangulation

Image compression utilizing the DTOCS, topological raster pa...

引用

European signal processing conference (EUSIPCO)

作者： Pekka J. Toivanen LUT-yliopisto Lappeenranta FI

In this paper, a new image compresion method is presented. It is based on the use of the Distance Transform on Curved Space (DTOCS), which calculates an integer approximation of the weighted pseudo-Euclidean distance transform along discrete 8-paths, and topological raster patterns to determine coordinates for control points. The decompression is based on triangulating among the control points using Delaunay triangulation. The obtained images are compared to previously published methods and to the JPEG DCT-based method. It is shown that the obtained results are of the same quality as JPEG results and exceed other DTOCS and Delaunay based methods. It is also shown experimentally that the time complexity of the compression method presented in this paper does not depend on the number of control points, i.e. the compression ratio. Because of this and the locality of the decompression scheme this method could well be used in applications where a rapid flashing image is made more accurate over time.

关键词： image coding Transform coding Aerospace electronics Discrete cosine transforms wavelet transforms Compression algorithms

来源：评论

学校读者我要写书评

暂无评论

An integrated facility for data acquisition and analysis of biomedical signals. Case studies on VEP, IVS

An integrated facility for data acquisition and analysis of ...

引用

An International Meeting on Engineering in Medicine and Biology Society,and conference of the Biomedical Engineering Society of India

作者： G.R. Kulkarni V. Udpikar Dept. of Phys. Poona Univ. Pune India

The variety of signal sources and the wide range of analytical techniques pose a serious problem in the integrated setup development for biomedical signal processing. In this paper we present an integrated, personal computer based setup useful in a variety of biomedical signal processing applications. We also present interesting case studies from VEP, IVS analysis. At the heart of the setup is a PC-AT486 with analog-to-digital converter (12 bits, 100 KSPS), serial modem and powerful, interactive digital signal processing (DSP) software FFT Lysis. The configuration is interfaced with the NICOLET COMPACT FOUR VEP recorder, and spike-train pre-amplifier. The DSP software on the PC-AT consists of biomedical signal processing modules for digital filtering, template matching FFT analysis, wavelet analysis, basic image processing and pattern synthesis. In addition to these the software consists of powerful statistical classification programs for principal component analysis (PCA).

关键词： Data acquisition Data analysis signal analysis Biomedical signal processing Digital signal processing image analysis Pattern analysis Principal component analysis signal processing Microcomputers

来源：评论

学校读者我要写书评

暂无评论

The effect of matching watermark and compression transforms in compressed color images

The effect of matching watermark and compression transforms ...

引用

IEEE International conference on image processing

作者： R.B. Wolfgang C.I. Podilchuk E.J. Delp Bell Laboratories Lucent Technologies Inc. Murray Hill NJ USA Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

The growth of networked multimedia systems has complicated copyright enforcement relative to digital images. One way to protect the copyright of digital images is to add an invisible structure to the image (known as a digital watermark) to identify the owner. In particular, it is important for Internet and image database applications that as much of the watermark as possible remain in the image after compression. image adaptive watermarks are particularly resistant to removal by signal processing attack such as filtering or compression. Common image adaptive watermarks operate in the transform domain (DCT or wavelet); the same domains are also used for popular image compression techniques (JPEG, EZW). This paper investigates whether matching the watermarking domain to the compression transform domain will make the watermark more robust to compression.

关键词： Watermarking image coding Digital images Multimedia systems Protection Internet image databases Adaptive signal processing Adaptive filters Information filtering

来源：评论

学校读者我要写书评

暂无评论

Enhancement of latent fingerprints on banknotes using monogenic wavelets

Enhancement of latent fingerprints on banknotes using monoge...

引用

International conference on signal processing and Communications, SPCOM

作者： Parmeshwar Birajadar Varun Patidar Pushkaraj Shirvalkar Shubham Gupta Vikram Gadre Department of Electrical Engineering IIT Bombay Mumbai India

ISBN: (纸本)9781509017478

Latent fingerprints on banknotes provide valuable information in forensic applications to identify suspects of robbery cases and counterfeiters. The image quality of latent fingerprints is poor due to the complex background of banknotes compared to live-scan images acquired in a controlled environment. An effective orientation field estimation algorithm is necessary for enhancing poor quality latents in the presence of background noise for reliable extraction of minutia features. There have been attempts in the literature to characterize a fingerprint using an AM-FM model. Motivated by the ability of the monogenic signal representation to demodulate such a signal to extract its features, this paper proposes a novel algorithm of latent fingerprint multiresolution orientation estimation with a modified Simoncelli isotropic wavelet design and by an appropriate use of the multiresolution orientation field. Experimental results on synthetic noisy images and real latents from our created latent fingerprint database on banknotes show that the enhanced image quality by using the proposed algorithm is better than the other existing methods for estimating the fingerprint orientation.

关键词： Estimation image resolution signal resolution Two dimensional displays Feature extraction Noise measurement signal representation

来源：评论

学校读者我要写书评

暂无评论

An iris recognition system by laws texture energy measure based k-NN classifier

An iris recognition system by laws texture energy measure ba...

引用

IEEE signal processing and Communications applications (SIU)

作者： Emrullah Acar Mehmet Siraç Özerdem Elektrik ve Elektronik Mühendisliği Bölümü Batman Üniversitesi Batman Turkey Elektrik ve Elektronik Mühendisliği Bölümü DİCLE Üniversitesi Diyarbakir Turkey

Biometric recognition technology is correlated generally with very expensive top secure applications. Iris recognition system is one of the effective biometric recognition systems. The main purpose of this study is to recognize the human from different eye images according to their iris texture characteristics. The digital crop images are derived from CASIA iris image database. The texture feature vectors are extracted from the local iris regions by using Laws Texture Energy Measure (TEM) which is a new method for image texture feature extraction. The obtained feature vectors are separated by k-Nearest Neighbor (k-NN) classifier as taking the neighbor number (k) parameter in different values and the performance results of each system are compared according to disparate k values. Finally, the best average performance is observed as 80.74 % in k=1 and 2 neighbors structure of k-NN classifier.

关键词： Iris recognition Iris Feature extraction Support vector machine classification Energy measurement Discrete wavelet transforms

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 << < 197 198 199 200 201 202 203 204 205 206 > >>

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：