sc JNTU-K B.TECH R19 3-1 Syllabus For Digital signal processing PDF 2022 – Cynohub


JNTU-K B.TECH R19 3-1 Syllabus For Digital signal processing PDF 2022


JNTU-K B.TECH R19 3-1 Syllabus For Digital signal processing PDF 2022

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You will be able to find information about Digital signal processing along with its Course Objectives and Course outcomes and also a list of textbook and reference books in this blog.You will get to learn a lot of new stuff and resolve a lot of questions you may have regarding Digital signal processing after reading this blog. Digital signal processing has 5 units altogether and you will be able to find notes for every unit on the CynoHub app. Digital signal processing can be learnt easily as long as you have a well planned study schedule and practice all the previous question papers, which are also available on the CynoHub app.

All of the Topic and subtopics related to Digital signal processing are mentioned below in detail. If you are having a hard time understanding Digital signal processing or any other Engineering Subject of any semester or year then please watch the video lectures on the official CynoHub app as it has detailed explanations of each and every topic making your engineering experience easy and fun.

Digital signal processing Unit One


Introduction to Digital Signal Processing: Discrete time signals & sequences, Classification of Discrete time systems, stability of LTI systems, Invertability, Response of LTI systems to arbitrary inputs. Solution of Linear constant coefficient difference equations. Frequency domain representation of discrete time signals and systems. Review of Z-transforms, solution of difference equations using Z-transforms, System function.

Digital signal processing Unit Two

Discrete Fourier Series & Fourier Transforms

Properties of discrete Fourier series, DFS representation of periodic sequences, Discrete Fourier transforms: Properties of DFT, linear filtering methods based on DFT, Fast Fourier transforms (FFT) – Radix-2 decimation in time and decimation in frequency FFT Algorithms, Inverse FFT.

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Digital signal processing Unit Three

Design of IIR Digital Filters& Realizations

Analog filter approximations – Butter worth and Chebyshev, Design of IIR Digital filters from analog filters, Design Examples, Analog and Digital frequency transformations. Basic structures of IIR systems, Transposed forms.

Digital signal processing Unit Four

Design of FIR Digital Filters & Realizations

Characteristics of FIR Digital Filters, frequency response. Design of FIR Digital Filters using Window Techniques and Frequency Sampling technique, Comparison of IIR & FIR filters. Basic structures of FIR systems, Lattice structures, Lattice-ladder structures

Digital signal processing Unit Five

Multirate Digital Signal Processing

Introduction, Decimation, Interpolation Sampling rate conversion, Implementation of sampling rate converters, Applications – Sub-band Coding of Speech Signals, Implementation of Digital Filter Banks, Trans-multiplexers.

Digital signal processing Course Objectives

 To explore the basic concepts of digital signal processing.

 To connect the time domain signal to frequency domain signals using fourier transform.

 To understand the basic structures of IRR systems.

 To understand and design FIR Digital filters.

 To explore the concepts of multiple sampling rates for DSP.

Digital signal processing Course Outcomes

After the completion of the course the student should be able to:

 understand the concepts of signal processing& transforms.

 appraise the Fat Fourier algorithm.

 design FIR and IIR filters.

 appreciate the concepts of multirate signal processing.

Digital signal processing Text Books

1. Digital Signal Processing, Principles, Algorithms, and Applications: John G. Proakis Dimitris G.Manolakis, Pearson Education / PHI, 2007.

2. Discrete Time Signal Processing – A.V.Oppenheim and R.W. Schaffer, PHI.

3. Digital Signal Processing – K Raja Rajeswari, I.K. International Publishing House.

Digital signal processing Reference Books

1. Digital Signal Processing: Andreas Antoniou, TATA McGraw Hill , 2006

2. Digital Signal Processing: MH Hayes, Schaum’s Outlines, TATA Mc-Graw Hill, 2007.

3. DSP Primer – C. Britton Rorabaugh, Tata McGraw Hill, 2005.

4. Fundamentals of Digital Signal Processing using Matlab – Robert J. Schilling, Sandra L. Harris,Thomson, 2007.

5. Digital Signal Processing – Alan V. Oppenheim, Ronald W. Schafer, PHI Ed., 2006

Scoring Marks in Digital signal processing

Scoring a really good grade in Digital signal processing is a difficult task indeed and CynoHub is here to help!. Please watch the video below and find out how to get 1st rank in your examinations . This video will also inform students on how to score high grades in Digital signal processing. There are a lot of reasons for getting a bad score in your Digital signal processing exam and this video will help you rectify your mistakes and help you improve your grades.

Information about JNTU-K B.Tech R19 Digital signal processing was provided in detail in this article. To know more about the syllabus of other Engineering Subjects of JNTUH check out the official CynoHub application. Click below to download the CynoHub application.

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