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

这一奖项将使圣地亚哥州立大学的侯赛因·阿布特博士能够与土耳其伊兹密尔爱琴海大学的奥古兹·马纳斯博士合作。他们将研究矢量和矩阵量化在数字信号处理中的图像编码、图像分类、图像增强和识别问题中的应用。他们还将在伊兹密尔建立一个信号处理研究生班和一个实验室。研究人员的目标是将线性预测理论扩展到包括低码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技术，以涵盖多维信号。他们建议使用来自多维信号研究的信息来进行每像素0.5比特以下的图像编码，并将向量和矩阵线性预测概念应用于图像分类和分割问题，这方面的研究相对较少。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方面都有应用。该奖项将帮助研究人员继续他们在使用矢量线性预测系数进行图像分类和识别方面的合作。

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.