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Digital Signal Processing using Scilab

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Dr Amol Prakash Bhagat

5:38:27

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  • 1.1 deladvfol.zip
  • 1. Basic Operations on Discrete-Time Signal.mp4
    50:49
  • 2.1 expseq.zip
  • 2.2 unitramp.zip
  • 2.3 unitsample.zip
  • 2.4 unitstep.zip
  • 2. Elementary Discrete-time Signals.mp4
    33:58
  • 3.1 condis.zip
  • 3.2 vereven.zip
  • 3. Continuous Signal, Discrete-Time Signal, Even and Odd Signals.mp4
    41:14
  • 1.1 verificatiosampling.zip
  • 1. Sampling Theorem, Sampling of Analog Signal.mp4
    33:53
  • 1.1 conv_with_func.zip
  • 1. Convolution with Predefined Function.mp4
    28:31
  • 2.1 conv_without_func.zip
  • 2. Convolution without Predefined Function.mp4
    50:21
  • 1.1 correlationdemo.zip
  • 1. Correlation of Two Sequences, Cross Correlation, Autocorrelation.mp4
    14:58
  • 2.1 ztranformconvprop.zip
  • 2.2 ztranformdemo.zip
  • 2.3 ztransferdemo.zip
  • 2. z-Transform, convolution property of z-transform.mp4
    31:08
  • 3.1 polezeroplotdemo.zip
  • 3. Pole-Zero Plot.mp4
    13:45
  • 4.1 fouriertransformdemo.zip
  • 4. Signal Representation in Fourier Domain.mp4
    16:05
  • 5.1 circularpropertydft.zip
  • 5.2 dftmagphase.zip
  • 5. Discrete Fourier Transform, Inverse Discrete Transform.mp4
    23:45
  • Description


    Programming in Scilab

    What You'll Learn?


    • Basic Operations on Discrete-Time Signal
    • Verification of Sampling Theorem
    • Scilab Implementation of Convolution, Correlation of Two Sequences, Cross Correlation, Autocorrelation, z-Transform, Pole-Zero Plot
    • Discrete Fourier Transform, Inverse Discrete Transform, Magnitude Response, Phase Response, Circular Convolution using DFT and IDFT

    Who is this for?


  • Beginner in Signal Processing Domain
  • More details


    Description
    • Scilab: Basic Operations on Discrete-Time Signal, Delay, Advance, and Folding using Scilab, Plotting Signals, Scilab Installation, Scilab Introduction

    • Scilab Implementations of Elementary Discrete-time Signals: Unit Sample, Unit Step, Unit Ramp and Exponential

    • Scilab Implementations of Graphical Representation of Continuous Signal, Discrete-Time Signal, Even and Odd Signals, Verification of whether Signal is Even or not.

    • Verification of Sampling Theorem, Sampling of Analog Signal, Sampling of Signal at Fs less than 2Fmax, Sampling of Signal at Nyquist Rate Fs=2Fmax, Sampling of Signal at Fs greater than 2Fmax

    • Scilab Implementation of Convolution with Predefined Function, conv scilab function, zero padding, Verifying output with Matrix method

    • Scilab Implementation of Convolution without Predefined Function, Conditions for Zero Padding, Identifying Response of System using Convolution Summation

    • Correlation of Two Sequences, Cross Correlation, Autocorrelation, xcorr function, Correlation using predefined function, Scilab implementation of Correlation operation.

    • Scilab code for finding z-Transform, Scilab code for demonstration of convolution property of z-transform, Defining functions in Scilab.

    • Scilab demonstration of Pole-Zero Plot, Creating Polynomials in Scilab, Numerator Polynomial, Denominator Polynomial, System Function in Scilab

    • Identifying Fourier Transform using Scilab, Signal Representation in Fourier Domain

    • Scilab Demonstrations of Discrete Fourier Transform, Inverse Discrete Transform, Magnitude Response, Phase Response, Circular Convolution using DFT and IDFT

    • Scilab Console, Writing Programs using Scilab, Implementation of basic signal processing operations

    Who this course is for:

    • Beginner in Signal Processing Domain

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    Dr Amol Prakash Bhagat
    Dr Amol Prakash Bhagat
    Instructor's Courses
    Dr Amol P. Bhagat, Department of CSE, (Programme Coordinator – Innovation and Entrepreneurship Development Centre, Manager – Business Incubator) Dr Amol P. Bhagat completed his B.E. (Information Technology) from Government College of Engineering, Amravati in the year 2005; with Master’s degree in Computer Science and Engineering from Walchand College of Engineering, Sangli in the year 2009 and Ph.D. in Information Technology under the guidance of Dr. Mohammad Atique in the year 2016 and is a research supervisor since 2019. (Notification No. 22/2019 Dated: 14/03/2019) He has 13.5 years of industry and teaching experience. He is with Prof Ram Meghe College of Engineering & Management, Badnera- Amravati since the year 2010. He has guided around 16 UG and 14 PG projects He has to his credit: 24 Patents filed, 89 Research papers published in National and International Journal and 1 book and 8 book chapters published. He has a vast experience in various domains like Medical Image Processing, Signal Processing, Soft Computing, Machine Learning, Deep Learning, Big Data Analytics, Data Science. He is representing various Committees like Member of Board of Studies IT, Government Polytechnic Amravati, Technical Programme Committee Member in various International Conferences Organized by IEEE, Elsevier, Springer, etc. THE (Times Higher Education) World University Rankings, Advisory Board Member of BI and IIC, Editorial Board Member of International Journals, Session Chair in International Conferences, Nodal Officer for ARIIA He has coordinated a number of Short term training programs and faculty development programmes in association with bodies like DST, NSTEDB, MSME, EDII, DTE Awards receivedo Start UP NIDHI Award – 2018 from DSTo IETE Higher Technical Proficiency Award -2017o Ideal Teaching Proficiency Award – 2018o Reviewer Recognition for Outstanding Contributions made to the quality of journal from Elsevier Biomedical Signal Processing and Control, Amsterdam, The Netherlandso Reviewer Recognition for Outstanding Contributions made to the quality of journal from Elsevier International Journal of Electrical Power and Energy Systems, Amsterdam, The Netherlandso Bharat Ratna Mother Teresa Gold Medal Award for National Economic Growth through Individual Contribution Mentor for DST funded research projects, Smart India Hackathon, Atal Tinkering Labs (Atal Innovation Mission, NITI Aayog), and various Start UPs Served as Resource Person in more than 70 programmes such as Workshops, STTPs, FDPs sponsored and funded by IETE, ISTE, IEI, AICTE, DST, CSI, NABARD, Ministry of Agriculture, etc.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 11
    • duration 5:38:27
    • Release Date 2023/02/13

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