{"id":19670,"date":"2019-12-10T06:09:56","date_gmt":"2019-12-10T06:09:56","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/advanced-digital-signal-processing-eie-7th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-iv\/"},"modified":"2019-12-10T06:09:56","modified_gmt":"2019-12-10T06:09:56","slug":"advanced-digital-signal-processing-eie-7th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-iv","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/advanced-digital-signal-processing-eie-7th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-iv\/","title":{"rendered":"Advanced Digital Signal Processing Eie 7th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective IV)"},"content":{"rendered":"<p>Advanced Digital Signal Processing Eie 7th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective IV) detail syllabus for Electronics &amp; Instrumentation Engineering (Eie), 2017 regulation is collected from the <a href=\"https:\/\/www.annauniv.edu\/\" target=\"_blank\" rel=\"noopener\">Anna Univ<\/a> official website and presented for students of Anna University. The details of the course are: course code (EC8091), Category (PE), Contact Periods\/week (3), Teaching hours\/week (3), Practical Hours\/week (0). The total course credits are given in combined syllabus.<\/p>\n<p>For all other eie 7th sem syllabus for be 2017 regulation anna univ you can visit <a href=\"..\/eie-7th-sem-syllabus-for-be-2017-regulation-anna-univ\">Eie 7th Sem syllabus for BE 2017 regulation Anna Univ Subjects<\/a>. For all other Professional Elective IV subjects do refer to <a href=\"..\/professional-elective-iv-eie-7th-sem-syllabus-for-be-2017-regulation-anna-univ\">Professional Elective IV<\/a>. The detail syllabus for advanced digital signal processing is as follows.<\/p>\n<p><h4>Course Objective:<\/h4>\n<ul>\n<li>To learn and understand the concepts of stationary and non-stationary random signals and analysis and characterization of discrete-time random processes<\/li>\n<li>To enunciate the significance of estimation of power spectral density of random processes<\/li>\n<li>To introduce the principles of optimum filters such as Wiener and Kalman filters<\/li>\n<li>To introduce the principles of adaptive filters and their applications to communication engineering<\/li>\n<li>To introduce the concepts of multi-resolution analysis<\/li>\n<\/ul>\n<p><h4>Unit I<\/h4>\n<p>For complete syllabus and results, class timetable and more pls <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n<p><h4>Unit II<\/h4>\n<p><strong> Spectrum Estimation<\/strong><br \/>\nBias and consistency, Non-parametric methods &#8211; Periodogram, modified-Periodogram -performance analysis. Bartletts method, Welchs method, Blackman-Tukey method. Performance comparison. Parametric methods &#8211; autoregressive (AR) spectrum estimation &#8211; autocorrelation method, Pronys method, solution using Levinson Durbin recursion.\n<\/p>\n<p><h4>Unit III<\/h4>\n<p><strong> Optimum Filters<\/strong><br \/>\nWiener filters &#8211; FIR Wiener filter &#8211; discrete Wiener Hopf equation, Applications &#8211; filtering, linear prediction. IIR Wiener filter &#8211; causal and non-causal filters. Recursive estimators &#8211; discrete Kalman filter.\n<\/p>\n<p><h4>Unit IV<\/h4>\n<p>For complete syllabus and results, class timetable and more pls <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n<p><h4>Unit V<\/h4>\n<p><strong> Multiresolution Analysis<\/strong><br \/>\nShort-time Fourier transform &#8211; Heisenberg uncertainty principle. Principles of multi-resolution analysis &#8211; sub-band coding, the continuous and discrete wavelet transform &#8211; properties. Applications of wavelet transform &#8211; noise reduction, image compression.\n<\/p>\n<p><h4>Course Outcome:<\/h4>\n<p>At the end of the course, the student should be able to:<\/p>\n<ul>\n<li>Articulate and apply the concepts of special random processes in practical applications<\/li>\n<li>Choose appropriate spectrum estimation techniques for a given random process<\/li>\n<li>Apply optimum filters appropriately for a given communication application<\/li>\n<li>Apply appropriate adaptive algorithm for processing non-stationary signals<\/li>\n<li>Apply and analyse wavelet transforms for signal and image processing based applications<\/li>\n<\/ul>\n<p><h4>Text Books:<\/h4>\n<ol>\n<li>Monson H. Hayes, &#8220;Statistical digital signal processing and modeling&#8221;, John Wiley and Sons Inc. New York, Indian reprint 2008. (Unit I-IV).<\/li>\n<li>P. P. Vaidyanathan, &#8220;Multirate systems and filter banks&#8221;, Prentice Hall Inc. 1993 (Unit V)<\/li>\n<\/ol>\n<p><h4>References:<\/h4>\n<ol>\n<li>John G. Proakis and Dimitris G.Manolakis, Digital Signal Processing &#8211; Principles, Algorithms and Applications, Fourth Edition, Pearson Education \/ Prentice Hall, 2007.<\/li>\n<li>Sophoncles J. Orfanidis, &#8220;Optimum signal processing&#8221;, McGraw Hill, 2000<\/li>\n<\/li>\n<\/ol>\n<p>For detail syllabus of all other subjects of BE Eie, 2017 regulation do visit <a href=\"..\/category\/eie+7th-sem\">Eie 7th Sem syllabus for 2017 Regulation<\/a>.<\/p>\n<p>Dont forget to <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a> for latest syllabus and results, class timetable and more.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Advanced Digital Signal Processing Eie 7th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective IV) detail syllabus for Electronics &amp; Instrumentation Engineering (Eie), 2017 regulation is collected from [&hellip;]<\/p>\n","protected":false},"author":2297,"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":[50,75],"tags":[],"class_list":["post-19670","post","type-post","status-publish","format-standard","hentry","category-7th-sem","category-eie"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/19670","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/users\/2297"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/comments?post=19670"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/19670\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=19670"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=19670"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=19670"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}