{"id":818,"date":"2016-07-27T15:53:21","date_gmt":"2016-07-27T15:53:21","guid":{"rendered":"http:\/\/www.inspirenignite.com\/jntuk\/?p=818"},"modified":"2016-07-27T16:35:40","modified_gmt":"2016-07-27T16:35:40","slug":"jntuk-b-tech-digital-signal-processing-for-r13-batch","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/jntuk\/jntuk-b-tech-digital-signal-processing-for-r13-batch\/","title":{"rendered":"JNTUK B.Tech Digital Signal Processing for R13 Batch."},"content":{"rendered":"<p>JNTUK B.Tech Digital Signal Processing gives you detail information of Digital Signal Processing R13 syllabus It will be help full to understand you complete curriculum of the year.<\/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>OBJECTIVES<\/strong><br \/>\nThe student will be able to<\/p>\n<ul>\n<li>Define and use Discrete Fourier Transforms (DFTs)<\/li>\n<li>Use Z &#8211; transforms and discrete time Fourier transforms to analyze a digital system.<\/li>\n<li>Understand simple finite impulse response filters<\/li>\n<li>Learn the design procedures used for filter bank<\/li>\n<li>Learn to program a DSP processor to filter signals<\/li>\n<\/ul>\n<p><strong>UNIT I : INTRODUCTION:<\/strong> Introduction to Digital Signal Processing: Discrete time signals &amp; sequences, linear shift invariant systems, stability, and causality. Linear constant coefficient difference equations. Frequency domain representation of discrete time signals and systems.<\/p>\n<p><strong>UNIT II : DISCRETE FOURIER SERIES &amp; FOURIER TRANSFORMS:<\/strong> Properties of discrete Fourier series, DFS representation of periodic sequences, Discrete Fourier transforms: Properties of DFT, linear convolution of sequences using DFT,Computation of DFT, Fast Fourier transforms (FFT) &#8211; Radix-2 decimation in time and decimation in frequency FFT Algorithms, Inverse FFT.<\/p>\n<p><strong>UNIT III : REALIZATION OF DIGITAL FILTERS:<\/strong> Review of Z-transforms, Applications of Z \u2013 transforms, solution of difference equations &#8211; digital filters, Block diagram representation of linear constant-coefficient difference equations, Basic structures of IIR systems, Transposed forms, Basic<br \/>\nstructures of FIR systems, System function,<\/p>\n<p><strong>UNIT IV : IIR &amp; FIR DIGITAL FILTERS:<\/strong> Analog filter approximations \u2013 Butter worth and Chebyshev, Design of IIR Digital filters from analog filters, Design Examples: Analog-Digitaltransformations Characteristics of FIR Digital Filters, frequency response. Design of FIR Digital Filters using Window Techniques, Frequency Sampling technique, Comparison of IIR &amp; FIR filters.<\/p>\n<p><strong>UNIT V : MULTIRATE DIGITAL SIGNAL PROCESSING:<\/strong> Decimation, interpolation, sampling rate conversion, Implementation of sampling rate conversion.<\/p>\n<p><strong>UNIT VI : INTRODUCTION TO DSP PROCESSORS:<\/strong> Introduction to programmable DSPs: Multiplier and Multiplier Accumulator (MAC), Modified Bus Structures and Memory Access schemes in DSPs Multiple\u00a0access memory ,multiport memory, VLSI architecture, Pipelining, Special addressing modes, On-Chip Peripherals. Architecture of TMS 320C5X- Introduction, Bus Structure, Central Arithmetic Logic Unit, Auxiliary Register, Index Register, Block Move Address Register, Parallel Logic Unit,\u00a0Memory mapped registers, program controller, Some flags in the status registers, On- chip registers, On-chip peripherals.<\/p>\n<p><strong>TEXT BOOKS<\/strong><\/p>\n<ul>\n<li>Digital Signal Processing, Principles, Algorithms, and Applications: John G. Proakis, Dimitris G.Manolakis,Pearson Education \/ PHI, 2007.<\/li>\n<li>Discrete Time Signal Processing \u2013 A.V.Oppenheim and R.W. Schaffer, PHI.<\/li>\n<li>Digital Signal Processors \u2013 Architecture, Programming and Applications,, B.Venkataramani, M.Bhaskar, TATA McGraw Hill, 2002.<\/li>\n<li>Digital Signal Processing \u2013 K Raja Rajeswari, I.K. International Publishing House.<\/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- Graw Hill, 2007.<\/li>\n<li>DSP Primer &#8211; C. Britton Rorabaugh, Tata McGraw Hill, 2005.<\/li>\n<li>Fundamentals of Digital Signal Processing using Matlab \u2013 Robert J. Schilling, Sandra<br \/>\nL. Harris,Thomson, 2007.<\/li>\n<li>Digital Signal Processing \u2013 Alan V. Oppenheim, Ronald W. Schafer, PHI Ed., 2006<\/li>\n<\/ul>\n<p><strong>OUTCOMES<\/strong><br \/>\nAfter going through this course the student will be able to<\/p>\n<ul>\n<li>Estimate the spectra of signals that are to be processed by a discrete time filter, and to verify the performance of a variety of modern and classical spectrum estimation techniques.<\/li>\n<li>Design and simulate a digital filter<\/li>\n<li>Design new digital signal processing systems.<\/li>\n<li>Design and realize FIR, IIR filters<\/li>\n<li>Program a DSP processor to filter signals<\/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 gives you detail information of Digital Signal Processing R13 syllabus It will be help full to understand you complete curriculum of the year. OBJECTIVES The [&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-818","post","type-post","status-publish","format-standard","hentry","category-syllabus"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/posts\/818","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=818"}],"version-history":[{"count":1,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/posts\/818\/revisions"}],"predecessor-version":[{"id":819,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/posts\/818\/revisions\/819"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/media?parent=818"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/categories?post=818"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/tags?post=818"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}