Signal Processing Techniques And Its Applications

Signal Processing Techniques And Its Applications

@VTU COE

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What you will learn

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Digital Signal Processing (DSP) is concerned with the representation, transformation and manipulation of signals on a computer. After half a century advances, DSP has become an important field, and has penetrated a wide range of application systems, such as consumer electronics, digital communications, medical imaging and so on. With the dramatic increase of the processing capability of signal processing microprocessors, it is the expectation that the importance and role of DSP is to accelerate and expand.

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Lecture 07 : Discrete Time Signal
Preview 39:38
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Lecture 08 : Discrete Time System
Preview 23:53
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Lecture 09 : D.T.S (L.T.I System)
Preview 36:48
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Lecture 10 : Linear Time-Invariant Systems(Continued)
Preview 29:26
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Lecture 11 : Correlation
Preview 30:14
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Tutorial 02
Preview 21:51

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Lecture 12 : Z - Transform
Preview 32:22
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Lecture 13 : Z - Transform Properties
Preview 28:40
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Lecture 14 : Pole and Zero in Z - Transform
Preview 38:53
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Lecture 15 : Inverse Z - Transform
Preview 20:55

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Lecture 16 : Frequency-Domain Representation of Discrete Signals and L.T.I Systems
Preview 38:34
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Lecture 17 : Discrete Fourier Transform (DFT)
Preview 37:36
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Lecture 18 : Discrete Fourier Transform Linear Transform View
Preview 33:35
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Lecture 19 : Discrete Fourier Transform Linear Transform View (Continued)
Preview 30:54
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Lecture 20 : Properties of Discrete Fourier Transform
Preview 28:41

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Lecture 21 : Properties of Discrete Fourier Transform (Contd.)
Preview 30:15
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Lecture 22 : Properties of Discrete Fourier Transform (Contd.)
Preview 32:35
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Lecture 23 : Properties of Discrete Fourier Transform (Contd.)
Preview 27:19
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Lecture 24 : Linear Filtering
Preview 28:13
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Tutorial 5
Preview 34:49

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Lecture 25 : Two Dimensional Discrete Fourier Transform
Preview 30:26
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Lecture 26 : Discrete Cosine Transform
Preview 34:30
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Lecture 27 : Frequency analysis of long signal using DFT
Preview 25:46
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Lecture 28 : Short-Time Fourier Transform (STFT)
Preview 29:18
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Lecture 29 : STFT Synthesis
Preview 25:34

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Lecture 30 : Fast Fourier Transform (FFT) Algorithms
Preview 38:37
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Lecture 31 : Fast Fourier Transform (FFT) Algorithms (Contd.)
Preview 28:10
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Lecture 32 : Radix-2 FFT Algorithms
Preview 42:33
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Lecture 33 : Radix-2 FFT Algorithms (Contd.)
Preview 30:24
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Lecture 34 : Spectrum and spectrogram
Preview 23:19

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Lecture 35 : Digital Filter
Preview 37:35
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Lecture 36 : FIR Filter
Preview 36:46
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Lecture 37 : Linear Symmetric & Anti-symmetric filter
Preview 34:30
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Lecture 38 : FIR Filter Design
Preview 29:14
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Lecture 39 : Frequency Sampling Method
Preview 37:40

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Lecture 40 : Design Optimum equiripple Linear-Phase FIR Filters (optimization methods)
Preview 30:40
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Lecture 41 : Infinite Impulse Response (IIR) Filters
Preview 35:39
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Lecture 42 : Traditional Analog Filter Design
Preview 31:45
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Lecture 43 : Chebyshev filter Design Method
Preview 23:43
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Lecture 44 : Analogue filter to digital filter transformation
Preview 58:02

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Lecture 45 : Linear Prediction and Optimum Linear Filters
Preview 38:28
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Lecture 46 : Autocorrelation Method for Linear Prediction
Preview 27:57
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Lecture 47 : Covariance Method for Linear Prediction
Preview 27:07
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Lecture 48 : Lattice Formulations of Linear Prediction
Preview 30:33
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Lecture 49 : Lattice Formulations of Linear Prediction (Contd..)
Preview 26:50

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Lecture 50 : Introduction to Multirate Signal Processing
Preview 41:25
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Lecture 51 : Analysis of Decimation and Interpolation
Preview 37:59
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Lecture 52 : Fractional Rate Conversion
Preview 38:44
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Lecture 53 : Implementations of Decimator and Interpolator
Preview 32:30
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Lecture 54 : Sample Rate Conversion by Stages
Preview 38:27

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Lecture 55 : Power Spectrum Estimation
Preview 29:43
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Lecture 56 : Power Spectrum Estimation (Contd.)
Preview 25:28
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Tutorial 12 : Tutorial for Final Examination
Preview 30:56

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Live Session 03-04-2022
Preview 45:26
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Live Session 11-04-2022
Preview 17:21
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Meet Your Instructor
@VTU COE
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Instructor
3.2 Rating
5446 Students
800 Courses
About Instructor

VTU is one of the largest Technological Universities in India with 24 years of Tradition of excellence in Engineering & Technical Education, Research and Innovations. It came into existence in the year 1998 to cater the needs of Indian industries for trained technical manpower with practical experience and sound theoretical knowledge.

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  • Course Duration
    33 h 5 m 40 s
  • Course Level
    Intermediate
  • Student Enrolled
    0
  • Language
    English
This Course Includes
  • 33 h 5 m 40 s Video Lectures
  • 0 Quizzes
  • 0 Assignments
  • 0 Downloadable Resources
  • Full Lifetime Access
  • Certificate of Completion