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1、分類號TN015學(xué)號14040001UDC621.3密級公開工學(xué)碩士學(xué)位論文基于相位調(diào)制的毫米波壓縮感知成像技術(shù)碩士生姓名鄧鐘豪學(xué)科專業(yè)電子科學(xué)與技術(shù)研究方向微波毫米波技術(shù)指導(dǎo)教師付云起教授國防科學(xué)技術(shù)大學(xué)研究生院二〇一六年十一月Millimeter-waveCompressiveSensingImagingTechnologyBasedonPhaseModulationCandidate:DengZhonghaoAdvisor:FuYunqiAdissertationSubmittedinpartialfulfillmentofthere
2、quirementsforthedegreeofMasterofEngineeringinElectronicScienceandTechnologyGraduateSchoolofNationalUniversityofDefenseTechnologyChangsha,Hunan,P.R.ChinaNovember,2016國防科學(xué)技術(shù)大學(xué)研究生院碩士學(xué)位論文目錄摘要......................................................................................
3、...........................iABSTRACT........................................................................................................iii第一章緒論......................................................................................................11.1研究背景及意義............
4、.................................................................................11.2國內(nèi)外研究現(xiàn)狀.............................................................................................11.3本論文結(jié)構(gòu)安排.............................................................................
5、................4第二章毫米波壓縮感知成像基本理論..............................................................62.1毫米波成像理論基礎(chǔ).....................................................................................62.1.1毫米波的特點....................................................................
6、....................62.1.2毫米波成像的特點及發(fā)展....................................................................82.1.3毫米波成像的基本要求........................................................................82.1.4毫米波成像系統(tǒng)的分類................................................................
7、........92.2壓縮感知理論基礎(chǔ).........................................................................................92.2.1壓縮感知理論的提出............................................................................92.2.2壓縮感知的基本理論..........................................................
8、................102.2.3壓縮感知的核心問題.........................................................