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VKYAcademy
0:12:32
Lecture-3 : Compute IDFT (Inverse Discrete Fourier Transform)
0:15:28
What is a Multiplexer ? Design of Multiplexer
0:08:06
Lecture : 1 DFT | Introduction Discrete Fourier Transform | Signal Processing
0:11:00
L2 : Emitter Bias Configuration | BJT Biasing | Analog Electronics Lecture Series
0:10:52
Parseval's Theorem of DFT Proof | Properties of DFT
0:07:56
causal and Non Causal Systems final | Classifications of Discrete Time Systems | Signals and Systems
0:04:50
Time Variant (TV) and Time Invariant Systems(TIV) | Classifications of Discrete Time Systems
0:05:17
Numerical-1 | Periodic and Aperiodic Signals | Discrete Time Periodic Signal | Fundamental Period
0:07:42
MATLAB Tutorial#3 How to solve Exponential and Logarithmic Functions Using MATLAB in Command
0:29:29
3 Variable K-Map Numerical solved [SOP Equations]
0:09:43
Lecture-4: DFT as Linear Transform (N X N) Linear Transform Matrix (Digital Signal Processing)
0:07:14
Numerical-2,3 | Periodic and Aperiodic Signals | Discrete Time Periodic Signal | Fundamental Period
0:13:11
Full Adder Design | Digital System Design | Digital Electronics | DEC
0:12:10
Multiplication or Modulation Property of DFT Proof | Properties of DFT
0:08:58
Circular Convolution Using Matrix Method | Digital Signal Processing | Signals and Systems
0:15:05
Number System Part-1 : Introduction to number systems (Decimal to Binary & Binary to Decimal)
0:14:23
L4 : Voltage Divider Bias Configuration | Analog Electronic Circuits
0:04:08
Lecture-22: Rational function in z transform [Inverse z transform using partial Fraction Method]
0:08:10
Circular Convolution Property of DFT | DFT Properties Proof
0:04:39
Lecture - 20: 2/4 Numerical on one sided Z transform or Unilateral z transform[x(n+2)]
0:10:53
Number System Part-3 : Binary Arithmetic || Addition || Multiplication || Division
0:11:01
LECTURE-1 Introduction to Signals Classifications Examples Signals and Systems
0:07:09
MATLAB Tutorial#4 How to use Trigonometry Functions in MATLAB command window
0:07:41
periodicity Property of DFT | Properties of DFT
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