NOC:Discrete Time Signal Processing - Study24x7
Social learning Network
NOC:Discrete Time Signal Processing
broucher Course Brochure
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...

0.0  (0 Ratings) 890 Learner
validy img Validity Unlimited
level All Level
level English
cover Img Preview not available
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...

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

module :1

| 02h 35min total length
  • <?php echo $alt; ?>

    Lecture 01: Introduction

    31m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 02: Discrete Time Signals and Systems

    29m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 03: Linear, Shift Invariant Systems?

    34m <?php echo $alt; ?>
  • <?php echo $alt; ?>

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

    32m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 05: Graphical Evaluation of Discrete Convolutions

    26m <?php echo $alt; ?>
NOC:Discrete Time Signal Processing

Module : 2

| 02h 25min total length
  • <?php echo $alt; ?>

    Lecture 06: Discrete Time Fourier Transform?

    31m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 07: Properties of DTFT

    29m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 08: Dirac Comb and Sampling Analog Signals?

    29m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 09: Relation between DTFT and Analog Fourier Transform?

    27m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 10: Nyquist Interpolation Formula

    27m <?php echo $alt; ?>
NOC:Discrete Time Signal Processing

Module : 3

| 02h 29min total length
  • <?php echo $alt; ?>

    Lecture 11: Rational Systems

    26m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 12: Properties of Rational Systems

    32m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 13: Introduction to Z-transform

    28m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 14: Properties of Z-transform

    31m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 15: Properties of z-transform

    31m <?php echo $alt; ?>
NOC:Discrete Time Signal Processing

Module : 4

| 02h 50min total length
  • <?php echo $alt; ?>

    Lecture 16: Inverse z-transform

    42m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 17:Introduction to DFT

    34m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 18: Properties of DFT

    33m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 19:Introduction to Interpretation of Circular Convolution

    32m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 20: Graphically Interpretation of Circular Convolution

    27m <?php echo $alt; ?>
NOC:Discrete Time Signal Processing

Module : 5

| 02h 48min total length
  • <?php echo $alt; ?>

    Lecture 21: Zero Padding and Linear convolution Via DFT

    37m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 22: Decimation and DFT of Decimated Sequences

    28m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 23: Expension and Interpolation of Sequences

    29m <?php echo $alt; ?>
  • <?php echo $alt; ?>

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

    38m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 25: Nobel Identifies

    35m <?php echo $alt; ?>
NOC:Discrete Time Signal Processing

Module : 6

| 02h 42min total length
  • <?php echo $alt; ?>

    Lecture 26: Efficient Decimator and Interpolator Structure

    35m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 27: Linear Phase Filters

    31m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 28: Properties of Linear Phase Filters

    33m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 29: Structures for IIR Filters

    29m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 30: Structures for FIR Filters

    32m <?php echo $alt; ?>
NOC:Discrete Time Signal Processing

Module : 7

| 02h 33min total length
  • <?php echo $alt; ?>

    Lecture 31: Analog LTI Systems, Fourier and Laplace Transforms

    32m <?php echo $alt; ?>
  • <?php echo $alt; ?>

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

    29m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 33: Analog Filter Design Example Butterworth Lowpass Filter

    30m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 34: IIR Filter Design by Implus Invariance Method

    32m <?php echo $alt; ?>
  • <?php echo $alt; ?>

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

    29m <?php echo $alt; ?>
NOC:Discrete Time Signal Processing

Module : 8

| 02h 27min total length
  • <?php echo $alt; ?>

    Lecture 36: Bilinear Transformation

    29m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 37: FIR Filter Design by Window

    32m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 38: FFT: Decimation in Time

    28m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 39: Complexity Analysis of FFT

    29m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 40: Bit Reversal and FFT

    26m <?php echo $alt; ?>
show 5 more sections
More Courses by Prof. Mrityunjoy Chakraborty

Adaptive Signal Processing

by Prof. Mrityunjoy Chakraborty
0.0 (0)

0 Enrollments

Validity Unlimited

Free

Probability and Random Processes

by Prof. Mrityunjoy Chakraborty
0.0 (0)

1 Enrollments

Validity Unlimited

Free