ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359)最新文献_第3页

Performance comparison of the optimal and the zero-forcing beamforming algorithms under practical conditions 最优和零强迫波束形成算法在实际条件下的性能比较

ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359) Pub Date : 1999-08-22 DOI: 10.1109/ISSPA.1999.815819

Olivia Hu, F. Zheng

引用次数: 2

The recognition of car license plate for automatic parking system 汽车车牌识别用于自动停车系统

ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359) Pub Date : 1999-08-22 DOI: 10.1109/ISSPA.1999.818210

T. Sirithinaphong, K. Chamnongthai

{"title":"The recognition of car license plate for automatic parking system","authors":"T. Sirithinaphong, K. Chamnongthai","doi":"10.1109/ISSPA.1999.818210","DOIUrl":"https://doi.org/10.1109/ISSPA.1999.818210","url":null,"abstract":"The recognition of a car's license plate for an automatic parking system is important for identifying the car at the entrance of the parking area because the car license plate has unique information for each car. This paper proposes the recognition of car license plate which is accurate and robust to environmental variation by using the car's license plate patterns according to motor vehicle regulation and a 4-layer BP neural network with supervised learning. In this method, the candidates regions of the car license plate are determined approximately according to the car license plate regulation such as color, the ratio and shape of the car license plate, the pattern of characters and numbers etc. For the results of recognition by neural networks, the candidate that has characters and numbers according to motor vehicle regulation is certified as license-plate region. Since the results of characters-pattern recognition are used to certify the license plate, the ability of license plate extraction is more accurate and the car can be identified simultaneously. The experimental results of seventy car images with the prototype of the automatic parking system show the performance of car license plate extraction rate of 96%, and the recognition rate is 92%.","PeriodicalId":302569,"journal":{"name":"ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359)","volume":"67 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127564858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 115

Signal-processing education in the context of multimedia technology 多媒体技术背景下的信号处理教育

ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359) Pub Date : 1999-08-22 DOI: 10.1109/ISSPA.1999.815728

X. Huang, G. Woolsey

引用次数: 2

Estimating the polar distribution of snapping shrimp with a wide aperture array 用大孔径阵列估计捕虾的极性分布

ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359) Pub Date : 1999-08-22 DOI: 10.1109/ISSPA.1999.815803

B. Ferguson, J. Cleary

引用次数: 1

Performance evaluation of the B-distribution b分布的性能评价

ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359) Pub Date : 1999-08-22 DOI: 10.1109/ISSPA.1999.818164

V. Sucic, B. Barkat, B. Boashash

引用次数: 16

Audio source type segmentation using a perceptually based representation 使用基于感知的表示的音频源类型分割

ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359) Pub Date : 1999-08-22 DOI: 10.1109/ISSPA.1999.818110

K. Melih, R. González

{"title":"Audio source type segmentation using a perceptually based representation","authors":"K. Melih, R. González","doi":"10.1109/ISSPA.1999.818110","DOIUrl":"https://doi.org/10.1109/ISSPA.1999.818110","url":null,"abstract":"Existing audio retrieval systems fall into one of two categories: systems that can accept data of only a single type (e.g. automatic speech recognition systems) or systems that report to offer content based retrieval for audio data of any type. However, systems belonging to the latter category often impose the restriction that only one type of sound can be presented at a time. This requirement is reasonable since the interpretation of various audio qualities such as pitch and rhythm depends upon the audio type. Pitch variation, for example, can be interpreted as the melody line in music while in speech it can be used as a means for detecting change of speaker. The problem, however, is that existing systems either expect segmentation to have been performed a priori or perform the segmentation in a completely separate process. This introduces unnecessary processing and file manipulation overheads. To combat this, a new perceptually based representation has been developed specifically to support content-based retrieval. This paper discusses the application of the new representation to sound source segmentation and identification.","PeriodicalId":302569,"journal":{"name":"ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127655562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

An adaptive split-and-merge method for smoothing and compression of image contours 一种用于图像轮廓平滑和压缩的自适应分割合并方法

ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359) Pub Date : 1999-08-22 DOI: 10.1109/ISSPA.1999.818117

Yi Xiao, J. Zou, Hong Yan

引用次数: 1

Fuzzy logic based behaviors blending for intelligent reactive navigation of walking robot 基于模糊逻辑的步行机器人智能反应导航行为混合

ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359) Pub Date : 1999-08-22 DOI: 10.1109/ISSPA.1999.818136

Adel Al-Jumaily, S. Amin

引用次数: 5

Nondestructive 2D cross-sectional visualization of a Mangosteen 山竹的非破坏性二维截面可视化

ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359) Pub Date : 1999-08-22 DOI: 10.1109/ISSPA.1999.818207

S. Arunrungrusmi, Dejwoot Khawparisuth, K. Chamnongthai, M. Okuda, S. Ozawa

{"title":"Nondestructive 2D cross-sectional visualization of a Mangosteen","authors":"S. Arunrungrusmi, Dejwoot Khawparisuth, K. Chamnongthai, M. Okuda, S. Ozawa","doi":"10.1109/ISSPA.1999.818207","DOIUrl":"https://doi.org/10.1109/ISSPA.1999.818207","url":null,"abstract":"A nondestructive inspection of a fruit inside is an essential way for fruit grading. In this paper, we proposed a nondestructive 2D cross-sectional visualization of a Mangosteen using infrared. The infrared was selected because there is no effect against taste and consumer health. By experiments, the infrared in the frequency range of 480-1,025 nm is found to be appropriate for radiating through the Mangosteen. To obtain a 2D cross-sectional image of the Mangosteen, a series of passing through infrared ray was collected. The collection of profiles, a series of the infrared without a rotation along a cross-sectional axis, around the Mangosteen is used to reconstruction the image. There are a series of 56 infrared for each profile and totally 19 profiles for each Mangosteen. We use wavelet transform (Haar) to detect the peel width and determine the diameter of Mangosteen flesh. The diameter of Mangosteen flesh is used as a factor for preprocessing the profile. The 2D cross-sectional image of Mangosteen can be reconstructed by filtered back projection (FBP) algorithm. From experiments using a prototype that we developed, the result was shown that we can inspect the Mangosteen by 2D cross-sectional visualization of the Mangosteen via the nondestructive method. 70% of the classification rate of Mangosteen hardness is shown when using this frequency range.","PeriodicalId":302569,"journal":{"name":"ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115686508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Ship motion estimation from ISAR data 基于ISAR数据的船舶运动估计

ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359) Pub Date : 1999-08-22 DOI: 10.1109/ISSPA.1999.818180

D. Gibbins, J. Symons, B. Haywood

引用次数: 8