2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)最新文献_第10页

Genetic algorithm implementation of multi-user detection in SDMA-OFDM systems SDMA-OFDM系统中多用户检测的遗传算法实现

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151580

Mohammed Alansi, I. Elshafiey, A. Al-Sanie

引用次数: 12

Cooperative regions for cooperative MTCM systems 合作MTCM系统的合作区域

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151617

Priyanki Thakore, A. Stefanov

引用次数: 0

Semi-blind speech extraction for robot using visual information and noise statistics 基于视觉信息和噪声统计的机器人半盲语音提取

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151571

H. Saruwatari, N. Hirata, Toshiyuki Hatta, Ryo Wakisaka, K. Shikano, T. Takatani

引用次数: 3

Validation of Support Vector Regression in deriving aerosol optical thickness maps at 1 km2 spatial resolution from satellite observations 支持向量回归在从卫星观测得到1平方公里空间分辨率气溶胶光学厚度图中的验证

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151623

Thi Nhat Thanh Nguyen, S. Mantovani, P. Campalani

{"title":"Validation of Support Vector Regression in deriving aerosol optical thickness maps at 1 km2 spatial resolution from satellite observations","authors":"Thi Nhat Thanh Nguyen, S. Mantovani, P. Campalani","doi":"10.1109/ISSPIT.2011.6151623","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151623","url":null,"abstract":"As a result of great improvements in satellite technologies, satellite-based observations have provided possibilities to monitor air pollution at the global scale with moderate quality in comparison with ground truth measurement. In tradition, the inversion process that derives atmospheric parameters from satellite-based data is replied on simulated physics models of matter interactions. Recently, the usage of machine learning techniques in this field has been investigated and presented competitive results to the physical approach. In this paper, we present validation of Support Vector Regression (SVR) technique in estimating Aerosol Optical Thickness (AOT), one of the most important atmospheric variables, from satellite observations at 1×1 km2 of spatial resolution. Validation by different European countries is carried out on a large amount of datasets collected in three years, which aims at investigating prediction quality of SVR data models built up on discrete and sparse data around ground measurement sites on continuous data domain presented by maps. The validation results obtained from 172 datasets showed good performance of SVR over most of the 31 countries that were considered.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123016809","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

Enhanced fuzzy-based models for ROI extraction in medical images 基于增强模糊模型的医学图像ROI提取

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-08 DOI: 10.1007/978-3-642-27183-0_4

Y. El-Sonbaty, S. Youssef, Karma M. Fathalla

引用次数: 4

Blind source separation of nondisjoint sources in the time-frequency domain with model-based determination of source contribution 基于模型确定源贡献的时频域非相交源的盲源分离

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-01 DOI: 10.1109/ISSPIT.2011.6151573

Jalil Taghia, Timo Gerkmann, A. Leijon

引用次数: 0

Compressed domain speech enhancement based on the joint modification of codebook gains 基于码本增益联合修正的压缩域语音增强

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-01 DOI: 10.1109/ISSPIT.2011.6151561

Bingyin Xia, C. Bao, Yan Liang, Xuan Zhou, Yu-wen He, Ru-wei Li

引用次数: 1

An approximate polynomial matrix eigenvalue decomposition algorithm for para-Hermitian matrices 拟厄米矩阵的近似多项式矩阵特征值分解算法

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-01 DOI: 10.1109/ISSPIT.2011.6151599

Soydan Redif, Stephan Weiss, J. McWhirter

{"title":"An approximate polynomial matrix eigenvalue decomposition algorithm for para-Hermitian matrices","authors":"Soydan Redif, Stephan Weiss, J. McWhirter","doi":"10.1109/ISSPIT.2011.6151599","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151599","url":null,"abstract":"In this paper, we propose an algorithm for computing an approximate polynomial matrix eigenvalue decomposition (PEVD). The PEVD of a para-Hermitian matrix yields a factorisation into a polynomial matrix product consisting of a spectrally majorised diagonal matrix that is pre- and post-multiplied by paraunitary (PU) matrices. All current PEVD algorithms, such as the second order sequential best rotation (SBR2) algorithm, perform a factorisation whereby diagonalisation and spectral majorisation are only achieved in approximation. The purpose of this paper is to present a new iterative approach which constitutes a “Householder-like” version of SBR2 and is akin to Tkacenko's approximate EVD (AEVD); however, unlike the AEVD, the proposed method carries out the diagonalisation successively by applying arbitrary-degree, finite impulse response PU matrices. We show an application of our algorithm to the design of signal-adapted PU filter banks for subband coding. Simulation results for the proposed approach show very close agreement with the behaviour of the infinite order principal component filter banks and demonstrate its superiority compared to state-of-the-art algorithms in terms of strong decorrelation and spectral majorisation.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122444908","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: 28

Efficient computation of prolate spheroidal wave functions in radio astronomical source modeling 射电天文源建模中长球面波函数的高效计算

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-11-01 DOI: 10.1109/ISSPIT.2011.6151582

P. Noorishad, S. Yatawatta

{"title":"Efficient computation of prolate spheroidal wave functions in radio astronomical source modeling","authors":"P. Noorishad, S. Yatawatta","doi":"10.1109/ISSPIT.2011.6151582","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151582","url":null,"abstract":"The application of orthonormal basis functions such as Prolate Spheroidal Wave Functions (PSWF) for accurate source modeling in radio astronomy has been comprehensively studied. They are of great importance for high fidelity, high dynamic range imaging with new radio telescopes as well as conventional ones. But the construction of PSWF is computationally expensive compared to other closed form basis functions. In this paper, we suggest a solution to reduce its computational cost by more efficient construction of the matrix kernel which relates the image domain to visibility (or Fourier) domain. Radio astronomical images are mostly represented using a regular grid of rectangular pixels. This is required for efficient storage and display purposes and moreover, comes naturally as a by product of the Fast Fourier Transform (FFT) in imaging. We propose the use of Delaunay triangulation as opposed to regular gridding of an image for a finer selection of the region of interest (signal support) during the PSWF kernel construction. We show that the computational efficiency improves without loss of information. Once the PSWF basis is constructed using the irregular grid, we revert back to the regular grid by interpolation and thereafter, conventional imaging techniques can be applied.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126425644","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

Parallel processing techniques for the processing of synthetic aperture radar data on GPUs gpu上合成孔径雷达数据处理的并行处理技术

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 1900-01-01 DOI: 10.1109/ISSPIT.2010.5711769

William Chapman, S. Ranka, S. Sahni, M. Schmalz, U. Majumder

{"title":"Parallel processing techniques for the processing of synthetic aperture radar data on GPUs","authors":"William Chapman, S. Ranka, S. Sahni, M. Schmalz, U. Majumder","doi":"10.1109/ISSPIT.2010.5711769","DOIUrl":"https://doi.org/10.1109/ISSPIT.2010.5711769","url":null,"abstract":"This paper presents a design for parallel processing of synthetic aperture radar (SAR) data using one or more Graphics Processing Units (GPUs). Our design supports real-time reconstruction of a two-dimensional image from a matrix of echo pulses and their corresponding response values. Key to our design is a dual partitioning scheme that divides the output image into tiles and divides the input matrix into sets of pulses. Pairs comprised of an image tile and a pulse set are distributed to thread blocks in a GPU, thus facilitating parallel computation. Memory access latency is masked by the GPU's low-latency thread scheduling. Our performance analysis quantifies latency as a function of the input and output parameters. Experimental results were generated with an nVidia Tesla C2050 GPU having maximum throughput of 1030 Gflop/s. Our design achieves peak throughput of 293 Gflop/s, which scales well for output image sizes from 2,048 × 2,048 pixels to 4,096 × 4,096 pixels. Higher throughput can be obtained by distributing the pulse matrix across multiple GPUs and combining the results at a host device.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"146 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":"116951179","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: 19