U.S.-Turkey Cooperative Research: Digital Signal Processing

美国-土耳其合作研究：数字信号处理

• 批准号: 8714107
• 负责人: Huseyin Abut
• 金额: $ 0.5万
• 依托单位: San Diego State University Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-02-01 至 1989-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8714107&HistoricalAwards=false
• 关键词: U.S.; Turkey; Cooperative; Research; Digital

This award will enable Dr. Huseyin Abut, San Diego State University, to collaborate with Dr. Oguz Manas, Aegean University, Izmir, Turkey. They will study applications of vector and matrix quantization to image coding, image classification, image enhancement, and recognition problems in digital signal processing. They will also establish a signal processing graduate course and a laboratory in Izmir. The researchers' goals are to extend linear prediction theory to include low-rate image coding and image classification problems. They will reformulate autoregressive analysis and windowing techniques to cover multidimensional signals. They propose to use information from the multidimensional signal studies to do image coding below 0.5 bits per pixel, and to apply vector and matrix linear prediction concepts to image classification and segmentation problems on which there has been relatively little research. The tools of digital signal processing developed in this research have applications in studying speech, seismic activity, imaging and machine vision, and in designing aids for the handicapped. This award will help the researchers continue their collaboration on image classification and recognition using vector linear prediction coefficients.

该奖项将使圣地亚哥州立大学的Huseyin Abut博士 与爱琴海大学的Oguz Manas博士合作， 土耳其，伊兹密尔。 他们将学习向量和矩阵的应用 量化图像编码，图像分类，图像 数字信号处理中的增强和识别问题。 他们还将建立一个信号处理研究生课程和一个 实验室在伊兹密尔。 研究人员的目标是将线性预测理论扩展到 包括低速率图像编码和图像分类问题。 他们将重新制定自回归分析和窗口 覆盖多维信号的技术。 他们建议使用 从多维信号研究中获取信息， 编码低于每像素0.5比特，并应用矢量和矩阵 图像分类和分割的线性预测概念 这些问题的研究相对较少。 的 本研究开发的数字信号处理工具 在研究语音、地震活动、成像和 机器视觉，以及为残疾人设计辅助工具。 这 该奖项将帮助研究人员继续他们的合作， 基于向量线性预测图像分类与识别 系数