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

该奖项将使圣地亚哥州立大学的Huseyin Abut博士能够与土耳其伊兹密尔爱琴海大学的Oguz Manas博士合作。他们将学习矢量和矩阵量化在图像编码、图像分类、图像增强和数字信号处理中的识别问题中的应用。他们还将在伊兹密尔开设信号处理研究生课程和实验室。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技术，以涵盖多维信号。他们提出利用多维信号研究的信息对每像素0.5比特以下的图像进行编码，并将向量和矩阵线性预测的概念应用于研究相对较少的图像分类和分割问题。本研究开发的数字信号处理工具在语音研究、地震活动、成像和机器视觉以及残疾人辅助工具设计等方面具有广泛的应用。该奖项将帮助研究人员继续他们在使用向量线性预测系数的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.