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Fourth International Symposium on Signal Processing and Its Applications最新文献

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Hierarchical Predictive Vq for Color Image Compression 彩色图像压缩的分层预测Vq
Fourth International Symposium on Signal Processing and Its Applications Pub Date : 1900-01-01 DOI: 10.1109/ISSPA.1996.615698
L. Leung, L. Po
{"title":"Hierarchical Predictive Vq for Color Image Compression","authors":"L. Leung, L. Po","doi":"10.1109/ISSPA.1996.615698","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615698","url":null,"abstract":"A hierarchical predictive VQ algorithm for color image compression is proposed in this paper. For encoding large size blocks, instead of using conventional bilinear interpolation, a new interpolation technique which make use of the neighboring reconstructed pixels and the lower right comer pixel is employed. The coding strategies for different block sizes are investigated, which involves the choice of color space and the use of combined or separate color components for vector quantization. Simulation results show that no significant blocking artifacts appear at the block boundaries. In addition, the encoding complexity for large size blocks can be maintained to an acceptable level.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132816198","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: 2
Voiced/unvoiced/silence Classification of Speech Using 2-Stage Neural Networks with Delayed Decision Input 基于延迟决策输入的两阶段神经网络的语音分类
Fourth International Symposium on Signal Processing and Its Applications Pub Date : 1900-01-01 DOI: 10.1109/ISSPA.1996.615765
R. Ahn, W. Holmes
{"title":"Voiced/unvoiced/silence Classification of Speech Using 2-Stage Neural Networks with Delayed Decision Input","authors":"R. Ahn, W. Holmes","doi":"10.1109/ISSPA.1996.615765","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615765","url":null,"abstract":"TWO STAGE NEURAL NETWORK CLASSIFIER This paper proposes a two stage feed-forward neural network classifier capable of determining voiced, unvoiced and silence in the first stage and refining unvoiced and silence decisions in the second stage. Delayed decision from the previous frame's classification along with preliminary decision by the first stage network, zero-crossing ratio and energy ratio enables the second stage to correct the mistakes made by the first stage in classifying unvoiced and silence frames. Comparisons with a single stage classifier demonstrates the necessity of two stage classification techniques. It also shows that the proposed classifier performs excellently.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133706497","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
Generation Of Noise Sources For A Digital Frequency Selective Fading Simulator 数字频率选择衰落模拟器噪声源的产生
Fourth International Symposium on Signal Processing and Its Applications Pub Date : 1900-01-01 DOI: 10.1109/ISSPA.1996.614976
Xiao Fang Chen, K. Chung
{"title":"Generation Of Noise Sources For A Digital Frequency Selective Fading Simulator","authors":"Xiao Fang Chen, K. Chung","doi":"10.1109/ISSPA.1996.614976","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.614976","url":null,"abstract":"A method of genemting several sources of Gaussian noise with controllable correlation is presented. These noise sources are implemented using a DSP microprocessor for use in a digital ftequency selective fading simulator. The digital approach provides an accurate, flexible and repeatable way of simulatiug a fadug signal in a laboratory environment. Various statistical probabilities obtained are also discussed.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127242858","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
Adaptive. Neighbourhood Image Filtering for Mpeg-1 Coded Images 自适应。邻域图像滤波的Mpeg-1编码图像
Fourth International Symposium on Signal Processing and Its Applications Pub Date : 1900-01-01 DOI: 10.1109/ISSPA.1996.615703
S. Suthaharan, H. Wu
{"title":"Adaptive. Neighbourhood Image Filtering for Mpeg-1 Coded Images","authors":"S. Suthaharan, H. Wu","doi":"10.1109/ISSPA.1996.615703","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615703","url":null,"abstract":"Several linear post-filtering methods have been proposed in video coding literature to reduce the blocking artifact which is a common problem in block-based coding mechanisms used in various digital image and video coding standards. In this paper, an algorithm for post-filtering is proposed, based on local statistical characteristics of a video image. This algorithm makes the filtering process adaptive when filtering the blocking artifacts at different quantisation levels using the linear filters. In the filtering process, the proposed algorithm first determines the blocks causing high blocking artifacts and then the linear filters are applied to these blocks to reduce the artifacts.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114556592","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
Partial Discharge Location on Power Cables Using Cepstrum Analysis 电力电缆局部放电位置倒频谱分析
Fourth International Symposium on Signal Processing and Its Applications Pub Date : 1900-01-01 DOI: 10.1109/ISSPA.1996.615732
H. Bidhendi, Q. Su
{"title":"Partial Discharge Location on Power Cables Using Cepstrum Analysis","authors":"H. Bidhendi, Q. Su","doi":"10.1109/ISSPA.1996.615732","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615732","url":null,"abstract":"CEPSTRUM ANALYSIS This paper describes an application of Cepstrum Analysis, a technique for Partial Discharge(PD) location on power cables. This technique is used in Time Domain ReflectometryODR) in which a delay time between incident and reflected pulses can be used for PD location. Due to the size of a cavity inside the insulation or the amount of water absorbed by the insulation, PD signal magnitudes and widths vary greatly. If PD sources are close to one terminal, the incident and the reflected pulses will overlap each other making it difficult to estimate the delay time by using the auto-correlation and the conventional TDR method. In this study, cepstrum analysis techniques are developed for the location of partial discharges on power cables. 1. INTRODUCIION","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122106811","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: 4
Hough Transform In Car Number Plate Skew Detection 霍夫变换在车牌倾斜检测中的应用
Fourth International Symposium on Signal Processing and Its Applications Pub Date : 1900-01-01 DOI: 10.1109/ISSPA.1996.615111
M. G. He, A. Harvey, T. Vinay
{"title":"Hough Transform In Car Number Plate Skew Detection","authors":"M. G. He, A. Harvey, T. Vinay","doi":"10.1109/ISSPA.1996.615111","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615111","url":null,"abstract":"In an automatic car number plate reading system, such as the one used in speeding car detection. the car image may appear tilted because of an uneven or curvy road surface. In this paper. the Hough Transform is used to detect the car number plate skew. Speed up process strategies are proposed and investigated to reduce the overall process time to meet the practical requirements.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117174126","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: 7
Estimating Gaussian Mixture Models from Data with Missing Features 从缺失特征数据估计高斯混合模型
Fourth International Symposium on Signal Processing and Its Applications Pub Date : 1900-01-01 DOI: 10.1109/ISSPA.1996.615761
D. McMichael
{"title":"Estimating Gaussian Mixture Models from Data with Missing Features","authors":"D. McMichael","doi":"10.1109/ISSPA.1996.615761","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615761","url":null,"abstract":"Maximum likelihood (ML) fitting of Gaussian mixture model (GMMs) to feature data is most efficiently handled by the EM algorithm [1, 2, 3, 4]. The EM algorithm is directly applicable to multivariate data in which all the features are always present, and there are no missing values. Unfortunately, missing values are common: caused either by random or systematic effects. This study presents a novel algorithm for estimating the parameters of GMMs when there are random missing values. The approach is Bayesian in the missing values and ML in the GMM parameters. The same model can be applied to heteroscedastic data, and to indirectly observable mixed Gaussian observations.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124472766","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
A Recursive Autoregressive Method for Spectral Estimation 谱估计的递归自回归方法
Fourth International Symposium on Signal Processing and Its Applications Pub Date : 1900-01-01 DOI: 10.1109/ISSPA.1996.615742
A. Bouzerdoum, J. Kim
{"title":"A Recursive Autoregressive Method for Spectral Estimation","authors":"A. Bouzerdoum, J. Kim","doi":"10.1109/ISSPA.1996.615742","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615742","url":null,"abstract":"In this article, we present a parametric technique for estimating the frequency of sinusoids in noise. The method is autoregressive where the AR model parameters are found by solving the normal equations recursively. The proposed method differs from existing ones in that only few iterations (one or two) are used to estimate the model parameters. This method, which we herein refer to as RAMSE is not sensitive to the model order, does not exhibit spectral line splitting and does not generate spurious peaks.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125036689","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: 1
On The Behaviour Of Higher-order Spectral Features For Object Recognition In The Presence Of Various Types Of Noise 高阶光谱特征在各种噪声存在下的目标识别行为研究
Fourth International Symposium on Signal Processing and Its Applications Pub Date : 1900-01-01 DOI: 10.1109/ISSPA.1996.615071
V. Chandran, Brett Carswell, B. Boashash
{"title":"On The Behaviour Of Higher-order Spectral Features For Object Recognition In The Presence Of Various Types Of Noise","authors":"V. Chandran, Brett Carswell, B. Boashash","doi":"10.1109/ISSPA.1996.615071","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615071","url":null,"abstract":"This paper presents results on the robustness of higher-order spectral features to Gaussian, Rayleigh, and uniform distributed noise. Based on cluster plots and accuracy results for various signal to noise conditions, the higher-order spectral features are shown to be better than moment invariant features.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129521427","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: 1
Wavelet-based Signal Extrapolation 基于小波的信号外推
Fourth International Symposium on Signal Processing and Its Applications Pub Date : 1900-01-01 DOI: 10.1109/ISSPA.1996.615154
M. J. Croft, J. Hogan
{"title":"Wavelet-based Signal Extrapolation","authors":"M. J. Croft, J. Hogan","doi":"10.1109/ISSPA.1996.615154","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615154","url":null,"abstract":"In this paper, we investigate the wavelet analogue of the well-known bandlimited extrapolation procedure of Papoulis and Gerchberg which replaces lost information from a bandlimited signal. The emphasis is on the discrete periodsed case. After a brief introduction to the notions of multiresolution analysis, wavelet subspaces and quadrature mirror filters, the associated periodised versions of these ideas are discussed. A method of mediating between sampled function values and sdmg function coefficients in the periodised case is gven. Criteria for solvability and an algorithmic solution with corresponding convergence results are stated and calculations made which verify these criteria in a number of examples. Finally, the algorithm is applied to several signals and images.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128691046","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: 3
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