Видео ютуба по тегу Ec402

EC402 ka lecture 2 by Nagina Sabir| ec403ka short lectures by Nagina Sabir| midterm ki preparation
EC402 ka lecture 2 by Nagina Sabir| ec403ka short lectures by Nagina Sabir| midterm ki preparation
4.1.2.2 Deriving Fourier Transform From Fourier Series | Unit 4 | EC402 | Signals & Systems | RGPV
4.1.2.2 Deriving Fourier Transform From Fourier Series | Unit 4 | EC402 | Signals & Systems | RGPV
4.1.2.1 Introduction to Fourier Transform | Unit 4 | EC402 | Signals & Systems | RGPV
4.1.2.1 Introduction to Fourier Transform | Unit 4 | EC402 | Signals & Systems | RGPV
3.5.2.1 Partial Fraction Method for Inverse Z Transform Introduction | EC402 | Signals & Systems
3.5.2.1 Partial Fraction Method for Inverse Z Transform Introduction | EC402 | Signals & Systems
3.8.2 Z Transform of Unit Step Signal | Unit 3 | EC402 | Signals & Systems | RGPV
3.8.2 Z Transform of Unit Step Signal | Unit 3 | EC402 | Signals & Systems | RGPV
3.8.3 Z Transform of sinω_o n.u(n) | Unit 3 | EC402 | Signals & Systems | RGPV
3.8.3 Z Transform of sinω_o n.u(n) | Unit 3 | EC402 | Signals & Systems | RGPV
EC 402 Signals & Systems: Classification of signals
EC 402 Signals & Systems: Classification of signals
3.5.2.2 Partial Fraction Method Numericals | Unit 3 | EC402 | Signals & Systems | RGPV
3.5.2.2 Partial Fraction Method Numericals | Unit 3 | EC402 | Signals & Systems | RGPV
Unit 4 Introduction | EC402 | Signals & Systems | RGPV
Unit 4 Introduction | EC402 | Signals & Systems | RGPV
Unit 2 Introduction | EC402 | Signals & Systems | RGPV
Unit 2 Introduction | EC402 | Signals & Systems | RGPV
Unit 3 Introduction | EC402 | Signals & Systems | RGPV
Unit 3 Introduction | EC402 | Signals & Systems | RGPV
Unit 5 Introduction | EC402 | Signals & Systems | RGPV
Unit 5 Introduction | EC402 | Signals & Systems | RGPV
5.2.1 Graphical Convolution of Discrete Time Signals | Unit 5 | EC402 | Signals & Systems | RGPV
5.2.1 Graphical Convolution of Discrete Time Signals | Unit 5 | EC402 | Signals & Systems | RGPV
5.1.4 Numerical on Sampling | Unit 5 | EC402 | Signals & Systems | RGPV
5.1.4 Numerical on Sampling | Unit 5 | EC402 | Signals & Systems | RGPV
5.1.1 Introduction of Sampling and Reconstruction | Unit 5 | EC402 | Signals & Systems | RGPV
5.1.1 Introduction of Sampling and Reconstruction | Unit 5 | EC402 | Signals & Systems | RGPV
5.2.3 Properties of Convolution | Unit 5 | EC402 | Signals & Systems | RGPV
5.2.3 Properties of Convolution | Unit 5 | EC402 | Signals & Systems | RGPV
5.1.3 Sampling Theorem Proof | Unit 5 | EC402 | Signals & Systems | RGPV
5.1.3 Sampling Theorem Proof | Unit 5 | EC402 | Signals & Systems | RGPV
6.0 Course Conclusion | EC402 | Signals & Systems | RGPV
6.0 Course Conclusion | EC402 | Signals & Systems | RGPV
5.1.2 Sampling Theorem Introduction | Unit 5 | EC402 | Signals & Systems | RGPV
5.1.2 Sampling Theorem Introduction | Unit 5 | EC402 | Signals & Systems | RGPV
5.2.2 Discrete Time Convolution (tabular method) | Unit 5 | EC402 | Signals & Systems | RGPV
5.2.2 Discrete Time Convolution (tabular method) | Unit 5 | EC402 | Signals & Systems | RGPV
4.4 Wavelet Transform | Unit 4 | EC402 | Signals & Systems | RGPV
4.4 Wavelet Transform | Unit 4 | EC402 | Signals & Systems | RGPV
4.2.2.4.7 Frequency Convolution Property | Unit 4 | EC402 | Signals & Systems | RGPV
4.2.2.4.7 Frequency Convolution Property | Unit 4 | EC402 | Signals & Systems | RGPV
4.3.3 Solved Numerical | Unit 4 | EC402 | Signals & Systems | RGPV
4.3.3 Solved Numerical | Unit 4 | EC402 | Signals & Systems | RGPV
4.5 Analog Filter | Unit 4 | EC402 | Signals & Systems | RGPV
4.5 Analog Filter | Unit 4 | EC402 | Signals & Systems | RGPV
4.3.1 Laplace Transform Introduction | Unit 4 | EC402 | Signals & Systems | RGPV
4.3.1 Laplace Transform Introduction | Unit 4 | EC402 | Signals & Systems | RGPV