عنوان :
كد گذاري توام كانال و منبع در كدهاي پيشرو تصوير در كانالهاي تغيير پذير با زمان آرام
گرايش تحصيلي :
مهندسي برق
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر
صفحه شمار :
ده،98ص.: مصور،جدول،نمودار
يادداشت :
ص.ع.به فارسي و انگليسي
استاد راهنما :
عليمحمد دوست حسيني
توصيفگر ها :
تخصيص نرخ , كدهاي نرخ-تطبيق پذير
تاريخ نمايه سازي :
15/1/90
استاد داور :
كمال شاه طالبي، معصومه نصيري كناري
دانشكده :
مهندسي برق و كامپيوتر
كد ايرانداك :
ID357 دكتري
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي
چكيده انگليسي :
Minimum Distortion Joint Source Channel Coding for Progressively Coded Images In Slowly Varying Channels Ahmad Hatam a hatam@ec iut ac ir 2010 Nov 6 Electrical and Computer Engineering Depatrtment Isfahan University of Technology IUT Isfahan 84156 83111 IranSupervisor Dr Ali Mohamad Doost Hoseini alimdh@iut cc irAdvisor Dr Saeed Sadri sadri@iut cc irDepartment Graduate Program Coordinator Dr Mahmoud Modarres HashemiDegree PhDLanguage FarsiAbstract Low complexity rate allocation RA algorithms for reliable transmission of progressivelycoded bit streams over noisy variable channels are presented First based on backward application ofa Viterbi like algorithm a rate allocation algorithm is introduced that can be applied to both variablechannel packet length VPP and fixed channel packet FPP problems The latter is presumably thefirst low complexity algorithm RA algorithms require packet error rates We assume ideal knownconstant channel We also consider the packet error approximation for undetermined BSC channels For real time applications an efficient linear complexity two directional local search algorithm ispresented for FPP and then developed for VPP It is achieved by sequential distortion improvement ofan initial solution for optimal rates with neighboring lower and or higher rates It is observed that thisfast rate allocation method is suitable for the transmission of multiple images over variable channels Also we have presented a rate allocation method that may be applied in variable channels with a firstorder Markov model Since progressive image encoders suffer from error propagation decoding muststop as soon as an erroneous packet is received For reduction of this weakness layered source codingand rate allocation are presented Keywords Joint Source channel coding rate allocation progressive codes rate compatible codes1 Introduction While source and channel coding in a lossless image transmission system can beoptimized independently the interrelation can be useful especially in lossy cases Given asequence of channel codes and the corresponding error rates as well as the distortion ratefunction of the progressive source encoder the problem of assigning channel codes ofdifferent rates to different source data packets under a total bit budget or total averagetransmission rate constraint is called a RA problem Rate compatible codes are used for easychannel code rates adjustments Also progressive source codes are used because of theirsuitable properties for such an application e g decreasing importance order of progressive bitstreams and easy adjustment of compression coefficients Well known cost functions for RA
استاد راهنما :
عليمحمد دوست حسيني
استاد داور :
كمال شاه طالبي، معصومه نصيري كناري
