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NOC:Discrete Time Signal Processing
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NOC:Discrete Time Signal Processing
by Prof. Mrityunjoy Chakraborty

Discrete time views values of variables as occurring at distinct, separate "points in time", or equivalently as being unchanged throughout each non-zero region of time ("time period")—that is, time is viewed as a discrete variable. Thus a non-time variable jumps from one value to another as time moves from one time period to the next. This view...

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Program Fee
FREE
About This Course

Discrete time views values of variables as occurring at distinct, separate "points in time", or equivalently as being unchanged throughout each non-zero region of time ("time period")—that is, time is viewed as a discrete variable. Thus a non-time variable jumps from one value to another as time moves from one time period to the next. This view...

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Course Curriculum
8 Sections | 40 Lecture | 20h 52min total length
Expand all sections
NOC:Discrete Time Signal Processing

module :1

| 02h 35min total length
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    Lecture 01: Introduction

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    Lecture 02: Discrete Time Signals and Systems

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    Lecture 03: Linear, Shift Invariant Systems?

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    Lecture 04 : Properties of Discrete Convolution Causal and Stable Systems?

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    Lecture 05: Graphical Evaluation of Discrete Convolutions

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NOC:Discrete Time Signal Processing

Module : 2

| 02h 25min total length
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    Lecture 06: Discrete Time Fourier Transform?

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    Lecture 07: Properties of DTFT

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    Lecture 08: Dirac Comb and Sampling Analog Signals?

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    Lecture 09: Relation between DTFT and Analog Fourier Transform?

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    Lecture 10: Nyquist Interpolation Formula

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NOC:Discrete Time Signal Processing

Module : 3

| 02h 29min total length
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    Lecture 11: Rational Systems

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    Lecture 12: Properties of Rational Systems

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    Lecture 13: Introduction to Z-transform

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    Lecture 14: Properties of Z-transform

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    Lecture 15: Properties of z-transform

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NOC:Discrete Time Signal Processing

Module : 4

| 02h 50min total length
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    Lecture 16: Inverse z-transform

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    Lecture 17:Introduction to DFT

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    Lecture 18: Properties of DFT

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    Lecture 19:Introduction to Interpretation of Circular Convolution

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    Lecture 20: Graphically Interpretation of Circular Convolution

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NOC:Discrete Time Signal Processing

Module : 5

| 02h 48min total length
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    Lecture 21: Zero Padding and Linear convolution Via DFT

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    Lecture 22: Decimation and DFT of Decimated Sequences

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    Lecture 23: Expension and Interpolation of Sequences

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    Lecture 24: Factor-of-M Polyphase Decomposition of Sequences

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    Lecture 25: Nobel Identifies

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NOC:Discrete Time Signal Processing

Module : 6

| 02h 42min total length
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    Lecture 26: Efficient Decimator and Interpolator Structure

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    Lecture 27: Linear Phase Filters

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    Lecture 28: Properties of Linear Phase Filters

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    Lecture 29: Structures for IIR Filters

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    Lecture 30: Structures for FIR Filters

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NOC:Discrete Time Signal Processing

Module : 7

| 02h 33min total length
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    Lecture 31: Analog LTI Systems, Fourier and Laplace Transforms

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    Lecture 32: Pole, Zero and Stability of of Analog Filters

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    Lecture 33: Analog Filter Design Example Butterworth Lowpass Filter

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    Lecture 34: IIR Filter Design by Implus Invariance Method

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    Lecture 35: Design Filter Design from Analog Proptotype Filters by s - z Transformations

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NOC:Discrete Time Signal Processing

Module : 8

| 02h 27min total length
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    Lecture 36: Bilinear Transformation

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    Lecture 37: FIR Filter Design by Window

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    Lecture 38: FFT: Decimation in Time

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    Lecture 39: Complexity Analysis of FFT

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    Lecture 40: Bit Reversal and FFT

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show 5 more sections
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