{"id":14069,"date":"2020-08-27T06:43:50","date_gmt":"2020-08-27T06:43:50","guid":{"rendered":"https:\/\/www.inspirenignite.com\/mh\/csc701-digital-signal-image-processing-syllabus-for-cs-7th-sem-2019-pattern-mumbai-university\/"},"modified":"2020-08-27T06:43:50","modified_gmt":"2020-08-27T06:43:50","slug":"csc701-digital-signal-image-processing-syllabus-for-cs-7th-sem-2019-pattern-mumbai-university","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/mh\/csc701-digital-signal-image-processing-syllabus-for-cs-7th-sem-2019-pattern-mumbai-university\/","title":{"rendered":"CSC701: Digital Signal & Image Processing Syllabus for CS 7th Sem 2019 Pattern Mumbai University"},"content":{"rendered":"

Digital Signal & Image Processing detailed syllabus scheme for Computer Engineering (CS), 2019 regulation has been taken from the University of Mumbai<\/a> official website and presented for the Bachelor of Engineering students. For Course Code, Course Title, Test 1, Test 2, Avg, End Sem Exam, Team Work, Practical, Oral, Total, and other information, do visit full semester subjects post given below. <\/p>\n

For all other Mumbai University Computer Engineering 7th Sem Syllabus 2019 Pattern, do visit CS 7th Sem 2019 Pattern Scheme<\/a>. The detailed syllabus scheme for digital signal & image processing is as follows.<\/p>\n

Digital Signal & Image Processing Syllabus for Computer Engineering BE 7th Sem 2019 Pattern Mumbai University<\/h2>\n

Digital Signal & Image Processing<\/title><\/p>\n<h4>Course Objectives:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete Syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Course Outcomes:<\/h4>\n<p align=\"justify\">\nOn successful completion of the course learner will be able to:<\/p>\n<ol>\n<li>Apply the concept of DT Signal and DT Systems.<\/li>\n<li>Classify and analyze discrete time signals and systems<\/li>\n<li>Implement Digital Signal Transform techniques DFT and FFT.<\/li>\n<li>Use the enhancement techniques for digital Image Processing<\/li>\n<li>Differentiate between the advantages and disadvantages of different edge detection techniques<\/li>\n<li>Develop small projects of 1-D and 2-D Digital Signal Processing.<\/li>\n<\/ol>\n<h4>Prerequisites:<\/h4>\n<p align=\"justify\">\nApplied Mathematics<\/p>\n<h4>Module 1<\/h4>\n<p align=\"justify\">\nDiscrete-Time Signal and Discrete-Time System 14<\/p>\n<ol>\n<li>Introduction to Digital Signal Processing, Sampling and Reconstruction, Standard DT Signals, Concept of Digital Frequency, Representation of DT signal using Standard DT Signals, Signal Manipulations(shifting, reversal, scaling, addition, multiplication).<\/li>\n<li>Classification of Discrete-Time Signals, Classification of DiscreteSystems<\/li>\n<li>Linear Convolution formulation for 1-D and 2-D signal (without mathematical proof), Circular Convolution (without mathematical proof), Linear convolution using Circular Convolution. Auto and Cross Correlation formula evaluation, LTI system, Concept of Impulse Response and Step Response, Output of DT system using Time Domain Linear Convolution.<\/li>\n<\/ol>\n<h4>Module 2<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete Syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Module 3<\/h4>\n<p align=\"justify\">\nFast Fourier Transform 06<\/p>\n<ol>\n<li>Need of FFT, Radix-2 DIT-FFT algorithm,<\/li>\n<li>DIT-FFT Flow graph for N=4 and 8, Inverse FFT algorithm.<\/li>\n<li>Spectral Analysis using FFT<\/li>\n<\/ol>\n<h4>Module 4<\/h4>\n<p align=\"justify\">\nDigital Image Fundamentals 08<\/p>\n<ol>\n<li>Introduction to Digital Image, Digital Image Processing System, Sampling and Quantization<\/li>\n<li>Representation of Digital Image, Connectivity<\/li>\n<li>Image File Formats: BMP, TIFF and JPEG.<\/li>\n<\/ol>\n<h4>Module 5<\/h4>\n<p align=\"justify\">\nImage Enhancement in Spatial domain 10<\/p>\n<ol>\n<li>Gray Level Transformations, Zero Memory Point Operations,<\/li>\n<li>Histogram Processing, Histogram equalization.<\/li>\n<li>NeighborhoodProcessing, Spatial Filtering, Smoothing and Sharpening Filters, Median Filter.<\/li>\n<\/ol>\n<h4>Module 6<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete Syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Text Books:<\/h4>\n<p align=\"justify\">\n<ol>\n<li>John G. Proakis, Dimitris and G.Manolakis, Digital Signal Processing: Principles, Algorithms, and Applications 4th Edition 2007, Pearson Education.<\/li>\n<li>A. Anand Kumar, Digital Signal Processing, PHI Learning Pvt. Ltd. 2013.<\/li>\n<li>Rafel C. Gonzalez and Richard E. Woods, Digital Image Processing, Pearson Education Asia, 3rd Edition, 2009,<\/li>\n<li>S. Sridhar, Digital Image Processing, Oxford University Press, Second Edition, 2012.<\/li>\n<\/ol>\n<h4>Reference Books:<\/h4>\n<p align=\"justify\">\n<ol>\n<li>Sanjit Mitra, Digital Signal Processing: A Computer Based Approach, TataMcGraw Hill, 3rd Edition.<\/li>\n<li>S. Salivahanan, A. Vallavaraj, and C. Gnanapriya, Digital Signal Processing Tata McGraw Hill Publication 1st Edition (2010).<\/li>\n<li>S. Jayaraman, E. Esakkirajan and T. Veerkumar, Digital Image Processing TataMcGraw Hill Education Private Ltd, 2009.<\/li>\n<li>Anil K. Jain, Fundamentals and Digital Image Processing, Prentice Hall of India Private Ltd, 3rd Edition.<\/li>\n<\/ol>\n<h4>Assessment<\/h4>\n<p align=\"justify\">\n<b>Internal Assessment:<\/b> Assessment consists of two class tests of 20 marks each. The first class test is to be conducted when approx. 40% syllabus is completed and second class test when additional 50% syllabus is completed. Duration of each test shall be one hour. <b>End Semester Theory Examination:<\/b><\/p>\n<ol>\n<li>Question paper will comprise of 6 questions, each carrying 20 marks.<\/li>\n<li>The students need to solve total 4 questions.<\/li>\n<li>Question No.1 will be compulsory and based on entire syllabus.<\/li>\n<li>Remaining question (Q.2 to Q.6) will be selected from all the modules.<\/li>\n<\/ol>\n<p align=\"justify\">For detail syllabus of all other subjects of Computer Engineering (CS) 7th Sem 2019 regulation, visit <a href=\"..\/category\/computer-engg+7th-sem\">CS 7th Sem Subjects<\/a> syllabus for 2019 regulation.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Digital Signal & Image Processing detailed syllabus scheme for Computer Engineering (CS), 2019 regulation has been taken from the University of Mumbai official website and presented for the Bachelor of […]<\/p>\n","protected":false},"author":2351,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[69,77],"tags":[],"class_list":["post-14069","post","type-post","status-publish","format-standard","hentry","category-7th-sem","category-computer-engg"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/14069","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/users\/2351"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/comments?post=14069"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/14069\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/media?parent=14069"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/categories?post=14069"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/tags?post=14069"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}