Канал: FUN CEPTS

Laplace transform - Region of Convergence (ROC)

Laplace transform - Region of Convergence (ROC)

Linearity and time invariance

Linearity and time invariance

Class 10 Chapter 1 Real Numbers part 2

Class 10 Chapter 1 Real Numbers part 2

Class 10 Chapter 1 Real Numbers part 1

Class 10 Chapter 1 Real Numbers part 1

Chapter 4 Linear Equations part 2

Chapter 4 Linear Equations part 2

Chapter 4 Linear Equations part 1

Chapter 4 Linear Equations part 1

CNN convolution part 3

CNN convolution part 3

CNN convolution part 2

CNN convolution part 2

CNN - convolution - part 1

CNN - convolution - part 1

Algebraic identities part 5

Algebraic identities part 5

Algebraic identities part 4

Algebraic identities part 4

Algebraic identities - part 3

Algebraic identities - part 3

Algebraic identities part 2 - Cubic identities

Algebraic identities part 2 - Cubic identities

Algebraic identities part 1

Algebraic identities part 1

Factorisation part 3: Factorisation of cubic polynomials

Factorisation part 3: Factorisation of cubic polynomials

Factorisation - part 2: Factorisation by splitting the middle term

Factorisation - part 2: Factorisation by splitting the middle term

Factorisation of polynomials - part 1

Factorisation of polynomials - part 1

zeros of polynomial part 2

zeros of polynomial part 2

Zeros of polynomial - part 1

Zeros of polynomial - part 1

Co-occurrence matrix

Co-occurrence matrix

Ch 2 Polynomials Ex 2.1 solutions

Ch 2 Polynomials Ex 2.1 solutions

Ch 2 Polynomials part 1

Ch 2 Polynomials part 1

Chapter 3 - Coordinate Geometry

Chapter 3 - Coordinate Geometry

Chapter 12 - Statistics

Chapter 12 - Statistics

Ex 11.4 Q6-10 solutions - vol of sphere

Ex 11.4 Q6-10 solutions - vol of sphere

Ex 11.4 Q 1-5 solutions vol of sphere

Ex 11.4 Q 1-5 solutions vol of sphere

Volume of cone Ex 11.3 Q6-9 solutions

Volume of cone Ex 11.3 Q6-9 solutions

Volume of cone Ex11.3 Q1-5 solution

Volume of cone Ex11.3 Q1-5 solution

Spheres surface area Ex11.2- Q7-9 solutions

Spheres surface area Ex11.2- Q7-9 solutions

Sphere surface area Ex11.2 Q 1-6 solutions

Sphere surface area Ex11.2 Q 1-6 solutions

Surface area of cone Ex11.1 Q 6-8 solutions

Surface area of cone Ex11.1 Q 6-8 solutions

Ex11.1 Surface area of cones - solutions

Ex11.1 Surface area of cones - solutions

Chapter 11 Surface area

Chapter 11 Surface area

Heron’s formula-part 2

Heron’s formula-part 2

Heron’s formula- part 1

Heron’s formula- part 1

Exercise 9.3 Q11 andQ12 solutions

Exercise 9.3 Q11 andQ12 solutions

Exercise 9.3 Q9 and Q 10 solutions

Exercise 9.3 Q9 and Q 10 solutions

Circles Ex 9.3 Q8 solution

Circles Ex 9.3 Q8 solution

Circles Exercise 9.3 Q7 solution

Circles Exercise 9.3 Q7 solution

Circles Exercise 9.3 Q6 solution

Circles Exercise 9.3 Q6 solution

Circles Exercise 9.3 Q4 and Q5 solutions

Circles Exercise 9.3 Q4 and Q5 solutions

Circles Exercise 9.3 Q3 solution

Circles Exercise 9.3 Q3 solution

Exercise 9.3 Q2 solution

Exercise 9.3 Q2 solution

Angle subtended at center of circle

Angle subtended at center of circle

Chapter 9 Cyclic quadrilateral example

Chapter 9 Cyclic quadrilateral example

Exponents and radicals

Exponents and radicals

Exponents - easy

Exponents - easy

Identity for convolution operation

Identity for convolution operation

Angles in a semicircle- example

Angles in a semicircle- example

Chapter 9 circles part4

Chapter 9 circles part4

Concentric circles and chords

Concentric circles and chords

Chapter 9 -Circles part 3

Chapter 9 -Circles part 3

Simplify using square root identities

Simplify using square root identities

Chapter 9 - Circles part 2

Chapter 9 - Circles part 2

Chapter 9 -Circles part 1

Chapter 9 -Circles part 1

Sum of interior angles on same side of transversal equals 180 degrees

Sum of interior angles on same side of transversal equals 180 degrees

Alternate angles are equal

Alternate angles are equal

Corresponding angles are equal

Corresponding angles are equal

Linear pair of angles and vertically opposite angles

Linear pair of angles and vertically opposite angles

Sum of all natural numbers - crazy result

Sum of all natural numbers - crazy result

Midpoint theorem solved examples

Midpoint theorem solved examples

Mid-point theorem:Quadrilaterals chapter

Mid-point theorem:Quadrilaterals chapter

Quadrilaterals example 5

Quadrilaterals example 5

Quadrilaterals-example 3

Quadrilaterals-example 3

Parallelogram example solutions

Parallelogram example solutions

Quadrilaterals - Parallelogram

Quadrilaterals - Parallelogram

Triangles - SSS and RHS congruence

Triangles - SSS and RHS congruence

Triangles part 4 - Isosceles triangle

Triangles part 4 - Isosceles triangle

Congruence of triangles -SAS and AAS rules examples

Congruence of triangles -SAS and AAS rules examples

Triangles -ASA congruence

Triangles -ASA congruence

Triangles - SAS congruence

Triangles - SAS congruence

Lines and angles - parallel lines

Lines and angles - parallel lines

Lines and angles -intersecting lines

Lines and angles -intersecting lines

Lines and angles - part 2- pairs of angles

Lines and angles - part 2- pairs of angles

Lines and angles - definitions and notations

Lines and angles - definitions and notations

Understanding derivatives and slope

Understanding derivatives and slope

Geometric representation of complex number multiplication

Geometric representation of complex number multiplication

Modulation property of Fourier transform

Modulation property of Fourier transform

Convolution with unit sample/impulse function

Convolution with unit sample/impulse function

Time domain sampling - analytical respresentation

Time domain sampling - analytical respresentation

Relation between Laplace transform, Fourier transform, z-transform, DTFT, DFT and FFT

Relation between Laplace transform, Fourier transform, z-transform, DTFT, DFT and FFT

Why can't an ideal filter be implemented in practice?

Why can't an ideal filter be implemented in practice?

Fourier transform of rectangular pulse

Fourier transform of rectangular pulse

Lectures 13 and 14 part 2: 2D baseband and bandpass signals

Lectures 13 and 14 part 2: 2D baseband and bandpass signals

Frequency response and impulse response

Frequency response and impulse response

Autocorrelation function and Power Spectral Density

Autocorrelation function and Power Spectral Density

Impulse response and causality

Impulse response and causality

L21 Fourier series of discrete time periodic signals

L21 Fourier series of discrete time periodic signals

L20: Dirichlet's conditions and properties of Fourier series

L20: Dirichlet's conditions and properties of Fourier series

L19 Fourier series - Exponential form and sine-cosine form

L19 Fourier series - Exponential form and sine-cosine form

L18 Fourier series motivation and theory

L18 Fourier series motivation and theory

L17: Unit step response and introduction to Fourier series

L17: Unit step response and introduction to Fourier series

L16: LTI properties part 2

L16: LTI properties part 2

L15: Properties of LTI systems/convolution

L15: Properties of LTI systems/convolution

L14: Convolution continuous time

L14: Convolution continuous time

L13: Convolution in Discrete Time

L13: Convolution in Discrete Time

L12: LTI systems - impulse response and convolution

L12: LTI systems - impulse response and convolution

L11: Linearity and linear systems with examples

L11: Linearity and linear systems with examples

L10: System properties - Stability, Time Invariance and Linearity

L10: System properties - Stability, Time Invariance and Linearity

L9: System properties - memory, invertibility and causality

L9: System properties - memory, invertibility and causality

L8: Relationship between Unit impulse and unit step functions; Introduction to systems

L8: Relationship between Unit impulse and unit step functions; Introduction to systems

L7: Transformation of independent variable - Discrete Time example

L7: Transformation of independent variable - Discrete Time example

L6: Transformation of independent variable- Continuous time and discrete time examples

L6: Transformation of independent variable- Continuous time and discrete time examples

EE721 - Lecture 6 Gram Schmidt orthogonalization

EE721 - Lecture 6 Gram Schmidt orthogonalization

EE721-Lecture 5 Geometric representation of signals

EE721-Lecture 5 Geometric representation of signals

L5: Transformation of Independent variable - continuous time

L5: Transformation of Independent variable - continuous time

L4: Periodic signals, even and odd signals

L4: Periodic signals, even and odd signals

L3: Complex exponential unit impulse and unit step functions

L3: Complex exponential unit impulse and unit step functions

L2: Complex exponential, unit impulse and unit step signals

L2: Complex exponential, unit impulse and unit step signals

L1: Real sinusoidal and exponential signals

L1: Real sinusoidal and exponential signals

EE721: Lecture 4 Bandpass to lowpass transformation - part 2

EE721: Lecture 4 Bandpass to lowpass transformation - part 2

EE721: Low pass representation of bandpass signals - part 1

EE721: Low pass representation of bandpass signals - part 1

EE721:Lecture 2

EE721:Lecture 2

EE721: Lecture 1

EE721: Lecture 1

Runge-Kutta method

Runge-Kutta method

Eulers and Modified Eulers method

Eulers and Modified Eulers method

Matched Filter

Matched Filter

Error probability with M-ary signaling over AWGN channel

Error probability with M-ary signaling over AWGN channel

Error probability for M-ary signaling with M = 4

Error probability for M-ary signaling with M = 4

Error probability with binary polar signaling

Error probability with binary polar signaling

Signal detection in the presence of AWGN - Binary Unipolar

Signal detection in the presence of AWGN - Binary Unipolar

Gaussian noise

Gaussian noise

White Gaussian Noise

White Gaussian Noise

Slope overload in Delta Modulation

Slope overload in Delta Modulation

Processing gain in DPCM and Delta Modulation

Processing gain in DPCM and Delta Modulation

PCM BW example and DPCM

PCM BW example and DPCM

M-ary transmission and PCM BW

M-ary transmission and PCM BW

PCM word size and Baseband signaling (Line codes)

PCM word size and Baseband signaling (Line codes)

Quantization SNR and PCM

Quantization SNR and PCM

Introduction to Matlab to solve Simultaneous Linear Equations

Introduction to Matlab to solve Simultaneous Linear Equations

Quantization, quantization noise, signal to quantization noise power ratio

Quantization, quantization noise, signal to quantization noise power ratio

Gaussian Elimination: no solution, rank, linear independence and linear dependence

Gaussian Elimination: no solution, rank, linear independence and linear dependence

Gaussian Elimination: Unique and Multiple solutions

Gaussian Elimination: Unique and Multiple solutions

Sampling, reconstruction & Aliasing

Sampling, reconstruction & Aliasing

Homogeneous/non-homogeneous systems & Cramers rule

Homogeneous/non-homogeneous systems & Cramers rule

Introduction to Digital Communication

Introduction to Digital Communication

Spectrum - Fourier analysis

Spectrum - Fourier analysis

Matrix inversion method

Matrix inversion method

Matrix representation of linear equations

Matrix representation of linear equations

Linear equations - Introduction

Linear equations - Introduction

Digital Modulation - Session 1

Digital Modulation - Session 1

Introduction to Cyclic codes

Introduction to Cyclic codes

(6,3)Linear block code and Cyclic codes

(6,3)Linear block code and Cyclic codes

Linear codes - parity matrix

Linear codes - parity matrix

Graduation Project Presentation Video

Graduation Project Presentation Video

Design and implementation of IoT applications

Design and implementation of IoT applications

Syndrome decoding of (7,4) Hamming codes - part 2

Syndrome decoding of (7,4) Hamming codes - part 2

Matched filter receiver

Matched filter receiver

Correlation receiver

Correlation receiver

Syndrome Decoding of (7,4) Hamming code

Syndrome Decoding of (7,4) Hamming code

Parity code and (7,4) Hamming code

Parity code and (7,4) Hamming code

Bandpass Orthogonal Multidimensional signals - Lecture 7 part 2

Bandpass Orthogonal Multidimensional signals - Lecture 7 part 2

Baseband orthogonal Multidimensional signals - Lecture 7 MSc part 1

Baseband orthogonal Multidimensional signals - Lecture 7 MSc part 1

Channel Capacity and Introduction to channel coding

Channel Capacity and Introduction to channel coding

Magnitude and phase spectrum with example

Magnitude and phase spectrum with example

Introduction to spectrum and Fourier analysis

Introduction to spectrum and Fourier analysis

Impulse train

Impulse train

Impulse function - Delta function

Impulse function - Delta function

Constructive and Destructive interference in the sum of sinusoids

Constructive and Destructive interference in the sum of sinusoids

Sum of sinusoids - sum of periodic signals

Sum of sinusoids - sum of periodic signals

Illustration of Angular frequency, positive and negative frequency

Illustration of Angular frequency, positive and negative frequency

Illustration of DC offset

Illustration of DC offset

DC and DC shift

DC and DC shift

Sinusoidal waveforms and Phase shift

Sinusoidal waveforms and Phase shift

Periodic and non-periodic signals

Periodic and non-periodic signals

Concept of negative frequency

Concept of negative frequency

Frequency and Angular frequency

Frequency and Angular frequency

Definition of ‘pi’

Definition of ‘pi’

Definition of ‘pi’

Definition of ‘pi’