{"id":264,"date":"2016-07-21T13:17:23","date_gmt":"2016-07-21T13:17:23","guid":{"rendered":"http:\/\/www.inspirenignite.com\/jntuk\/?p=264"},"modified":"2016-08-07T12:12:11","modified_gmt":"2016-08-07T12:12:11","slug":"jntuk-b-tech-digital-signal-processing-elective-iii-for-r13-batch","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/jntuk\/jntuk-b-tech-digital-signal-processing-elective-iii-for-r13-batch\/","title":{"rendered":"JNTUK B.Tech Digital Signal Processing (Elective \u2013 III) for R13 Batch."},"content":{"rendered":"<p>JNTUK B.Tech Digital Signal Processing (Elective \u2013 III) R13 Syllabus for Engineering it gives you detail information about Digital Signal Processing (Elective \u2013 III) syllabus.<\/p><div class=\"a9916ad81d5189659b0bfae0b37c143c\" data-index=\"1\" style=\"float: none; margin:10px 0 10px 0; text-align:center;\">\n<ins class=\"adsbygoogle\"\r\n     style=\"display:block; text-align:center;\"\r\n     data-ad-layout=\"in-article\"\r\n     data-ad-format=\"fluid\"\r\n     data-ad-client=\"ca-pub-1181153414625576\"\r\n     data-ad-slot=\"9648548092\"><\/ins>\r\n<script>\r\n     (adsbygoogle = window.adsbygoogle || []).push({});\r\n<\/script>\n<\/div>\n\n<p><strong>Preamble<\/strong><\/p>\n<p>Signals analysis is very important in daily life. Hence it is required to study the different signals (continuous and discrete) and their properties. The behavior of the signals in time and frequency domain are important in analyzing the response of the network. The tools like FFT, DFT, Z\u2013 transforms may be used in the analysis of the signals. Filters must be required to eliminate the unwanted signals. Hence digital filter design also required to be studied. Sampling of signals are required to convert continuous to discrete signals. To have knowledge on the implementation signals, DSP processors must be studied.<\/p>\n<p><strong>Learning Objectives<\/strong><\/p>\n<ul>\n<li>To study different types of signals and properties of systems.<\/li>\n<li>To study the application of Fourier transform to discrete time systems.<\/li>\n<li>To study the FFT and inverse FFT and its applications to discrete sequences.<\/li>\n<li>To study the realization of digital filters and their design.<\/li>\n<li>To study the multi\u2013rate signal processing.<\/li>\n<li>To study the architecture of digital signal processors.<\/li>\n<\/ul>\n<p><strong>UNIT\u2013I<\/strong><\/p>\n<p><strong>Introduction<\/strong> : Introduction to Digital Signal Processing: Discrete time signals &amp; sequences\u00a0\u2013 Linear shift invariant systems \u2013 Stability and causality \u2013 Linear constant coefficient difference equations.<\/p>\n<p><strong>UNIT\u2013II<\/strong><\/p>\n<p><strong>Discrete Fourier Series<\/strong> : Properties of discrete Fourier series, DFS representation of periodic\u00a0sequences, Discrete Fourier transforms: Properties of DFT, linear convolution of sequences using DFT, Computation of DFT. Relation between Z\u2013transform and DFS.<\/p>\n<p><strong>UNIT\u2013III<\/strong><\/p>\n<p><strong>Fast Fourier Transforms :<\/strong> Frequency domain representation of discrete time signals and systems \u2013 Fast Fourier transforms (FFT) \u2013 Radix\u20132 decimation in time and decimation in frequency FFT Algorithms \u2013 Inverse FFT \u2013 and FFT for composite N.<\/p>\n<p><strong>UNIT\u2013IV<\/strong><\/p>\n<ul>\n<li><strong>Realization of Digital Filters<\/strong> : Solution of difference equations of digital filters \u2013 Block diagram representation of linear constant \u2013 Coefficient difference equations \u2013 Basic structures of IIR systems \u2013 Transposed forms \u2013 Basic structures of FIR systems \u2013 System function.<\/li>\n<li><strong>IIR Digital Filters<\/strong> : Analog filter approximations \u2013 Butter worth and Chebyshev \u2013 Design of IIR\u00a0Digital filters from analog filters \u2013 Design Examples: Analog\u2013Digital transformations.<\/li>\n<li><strong>FIR Digital Filters :<\/strong> Characteristics of FIR Digital Filters \u2013 Frequency response \u2013 Design of FIR\u00a0Digital Filters using Window Techniques \u2013 Frequency Sampling technique \u2013 Comparison of IIR &amp; FIR filters.<\/li>\n<\/ul>\n<p><strong>UNIT\u2013V<\/strong><\/p>\n<p><strong>Multirate Digital Signal Processing<\/strong>: Decimation \u2013 Interpolation \u2013 Down sampling \u2013 Up sampling rate \u2013 Conversion \u2013 Implementation of sampling rate conversion.<\/p>\n<p><strong>UNIT\u2013VI<\/strong><\/p>\n<p><strong>Introduction to Digital Signal Processors(DSP)<\/strong> :Introduction to programmable DSPs: Multiplier and Multiplier Accumulator (MAC) \u2013 Modified bus structures and memory access schemes in DSPs \u2013 Multiple access memory \u2013 Multiport memory \u2013 VLSI architecture \u2013 Pipelining \u2013 Special addressing modes \u2013 On\u2013chip peripherals \u2013 Architecture of TMS 320C5X \u2013 Introduction \u2013 Bus structure \u2013 Central arithmetic logic unit \u2013 Auxiliary registrar \u2013 Index registrar \u2013 Auxiliary register compare\u00a0register \u2013 Block move address register \u2013 Parallel logic unit \u2013 Memory mapped registers \u2013 Program controller \u2013 Some flags in the status registers \u2013 On\u2013chip registers, On\u2013chip peripherals.<\/p>\n<p><strong>Learning outcomes<\/strong><\/p>\n<ul>\n<li>Able to study different types of signals and properties of systems.<\/li>\n<li>Able to apply of Fourier transform to discrete time systems.<\/li>\n<li>Able to apply the FFT and inverse FFT to discrete sequences.<\/li>\n<li>Able to realize and design digital filters.<\/li>\n<li>Able to understand the multi\u2013rate signal processing.<\/li>\n<li>Able to understand architecture of digital signal processors.<\/li>\n<\/ul>\n<p><strong>Text Books<\/strong><\/p>\n<ul>\n<li>Digital Signal Processing \u2013 Alan V. Oppenheim, Ronald W. Schafer, PHI Ed., 2006<\/li>\n<li>Digital Signal Processing, Principles, Algorithms, and Applications: John G. Proakis, Dimitris G. Manolakis, Pearson Education \/ PHI, 2007<\/li>\n<\/ul>\n<p><strong>Reference Books<\/strong><\/p>\n<ul>\n<li>Digital Signal Processing: Andreas Antoniou, TATA McGraw Hill , 2006<\/li>\n<li>Digital Signal Processing: MH Hayes, Schaum\u2019s Outlines, TATA Mc\u2013Graw Hill, 2007.<\/li>\n<li>DSP Primer \u2013 C. Britton Rorabaugh, Tata Mc Graw Hill, 2005.<\/li>\n<li>Fundamentals of Digital Signal Processing using Matlab \u2013 Robert J. Schilling, Sandra L. Harris, Thomson, 2007.<\/li>\n<li>Digital Signal Processors \u2013 Architecture, Programming and Applications, B.Venkataramani, M.Bhaskar, TATA McGraw Hill, 2002.<\/li>\n<\/ul>\n<p>For more information about all JNTU updates please stay connected to us on FB and don\u2019t hesitate to ask any questions in the comment.<\/p>\n<div class=\"a9916ad81d5189659b0bfae0b37c143c\" data-index=\"2\" style=\"float: none; margin:10px 0 10px 0; text-align:center;\">\n<ins class=\"adsbygoogle\"\r\n     style=\"display:block; text-align:center;\"\r\n     data-ad-layout=\"in-article\"\r\n     data-ad-format=\"fluid\"\r\n     data-ad-client=\"ca-pub-1181153414625576\"\r\n     data-ad-slot=\"8060844699\"><\/ins>\r\n<script>\r\n     (adsbygoogle = window.adsbygoogle || []).push({});\r\n<\/script>\n<\/div>\n\n<div style=\"font-size: 0px; height: 0px; line-height: 0px; margin: 0; padding: 0; clear: both;\"><\/div>","protected":false},"excerpt":{"rendered":"<p>JNTUK B.Tech Digital Signal Processing (Elective \u2013 III) R13 Syllabus for Engineering it gives you detail information about Digital Signal Processing (Elective \u2013 III) syllabus. Preamble Signals analysis is very [&hellip;]<\/p>\n","protected":false},"author":2259,"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":[2],"tags":[],"class_list":["post-264","post","type-post","status-publish","format-standard","hentry","category-syllabus"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/posts\/264","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/users\/2259"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/comments?post=264"}],"version-history":[{"count":2,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/posts\/264\/revisions"}],"predecessor-version":[{"id":423,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/posts\/264\/revisions\/423"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/media?parent=264"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/categories?post=264"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/tags?post=264"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}