Канал: Kiran Shanbhag

An Activity as Introduction to Filters

An Activity as Introduction to Filters

21EC33 | Linear transformation and Linear Least squares

21EC33 | Linear transformation and Linear Least squares

21EC33 | Examples Rank Nullity Theorem

21EC33 | Examples Rank Nullity Theorem

21EC33 | Singular Value Decomposition Importance / Eigen Application / SVD application

21EC33 | Singular Value Decomposition Importance / Eigen Application / SVD application

21EC33 | 9 . Singular Value Decomposition command

21EC33 | 9 . Singular Value Decomposition command

21EC33 | 8. Gram Schmidt Orthogonalization Procedure | BSP LAB

21EC33 | 8. Gram Schmidt Orthogonalization Procedure | BSP LAB

21EC33 | BSP LAB| 7.Step Response

21EC33 | BSP LAB| 7.Step Response

21EC33| BSP LAB | 6. Properties of Linear Convolution

21EC33| BSP LAB | 6. Properties of Linear Convolution

21EC33 | BSP LAB |5. Linear Convolution

21EC33 | BSP LAB |5. Linear Convolution

21EC33 | BSP LAB | 4 Generate waveform and Perform basic operations

21EC33 | BSP LAB | 4 Generate waveform and Perform basic operations

21EC33 | BSP Lab | 3. Solving system of linear equations

21EC33 | BSP Lab | 3. Solving system of linear equations

21EC33 | BSP LAB | Exp.2 | Basic Array/Matrix Operations

21EC33 | BSP LAB | Exp.2 | Basic Array/Matrix Operations

21EC33 | BSP LAB | 1. To create and Modify an Array/Matrix | Basic Signal Processing Lab

21EC33 | BSP LAB | 1. To create and Modify an Array/Matrix | Basic Signal Processing Lab

18EC81 | WCC | Module 4 | 4 | Advantages of OFDM/SC FDMA

18EC81 | WCC | Module 4 | 4 | Advantages of OFDM/SC FDMA

18EC81 | WCC | Module 4 | 3 | SC-FDE as solution to PAR

18EC81 | WCC | Module 4 | 3 | SC-FDE as solution to PAR

18EC81 | WCC | Module 4 | 2

18EC81 | WCC | Module 4 | 2

18EC81 | WCC | Module 4 | 1

18EC81 | WCC | Module 4 | 1

18ECL57 | DSP LAB| Verification of Convolution Properties

18ECL57 | DSP LAB| Verification of Convolution Properties

18ECL57 | DSP LAB | Verification of Sampling theorem

18ECL57 | DSP LAB | Verification of Sampling theorem

DSP LAB : 18ECL57: Cross correlation of two sequences with a RADAR application example

DSP LAB : 18ECL57: Cross correlation of two sequences with a RADAR application example

DSP LAB: 18ECL57: Autocorrelation and Its properties

DSP LAB: 18ECL57: Autocorrelation and Its properties

DSP LAB 18ECL57 Convolution properties

DSP LAB 18ECL57 Convolution properties

18ECL57 DSP LAB Linear convolution example

18ECL57 DSP LAB Linear convolution example

FIR filter design using Frequency Sampling Technique

FIR filter design using Frequency Sampling Technique

S&S | 18EC45 | Fourier series conclusion and intro to Module 5

S&S | 18EC45 | Fourier series conclusion and intro to Module 5

WCC | 18EC81 | Module 5 | L4 | WC LTE |17EC81 | M3 L3 | Hierarchical Channel structure of LTE

WCC | 18EC81 | Module 5 | L4 | WC LTE |17EC81 | M3 L3 | Hierarchical Channel structure of LTE

S&S | 18EC45 | Modue 2 L3 | Characterization of LTI system

S&S | 18EC45 | Modue 2 L3 | Characterization of LTI system

S&S | 18EC45 | Module 2 L4 | Convolution sum of two infinite duration sequences

S&S | 18EC45 | Module 2 L4 | Convolution sum of two infinite duration sequences

WCC |18EC81 |Module 5 |L3 |WC LTE | 17EC81 | M2 L8 | OFDMA System Design Consideration

WCC |18EC81 |Module 5 |L3 |WC LTE | 17EC81 | M2 L8 | OFDMA System Design Consideration

S&S | 18EC45 | Module 2 L 1| On LTI systems and Convolution

S&S | 18EC45 | Module 2 L 1| On LTI systems and Convolution

S & S | 18EC45 | Module 2 L 2 | Convolution Sum

S & S | 18EC45 | Module 2 L 2 | Convolution Sum

temp convolution

temp convolution

S & S | Module 1 | Test 1 revision

S & S | Module 1 | Test 1 revision

WCC | 18EC81| Module 5 | L2 |WC LTE | 17EC81 | M 2 L 7| OFDMA LTE Time Frequency Grid

WCC | 18EC81| Module 5 | L2 |WC LTE | 17EC81 | M 2 L 7| OFDMA LTE Time Frequency Grid

S & S | 18EC45 | Module 1| L13 | Invertibility, Time invariance

S & S | 18EC45 | Module 1| L13 | Invertibility, Time invariance

S & S | 18EC45 | Module 1 | L14 | Linearity Property

S & S | 18EC45 | Module 1 | L14 | Linearity Property

18EC81 | WCC | Module 5 | L1 | OFDMA , SCFDMA

18EC81 | WCC | Module 5 | L1 | OFDMA , SCFDMA

S & S | Module 1| L12 | System Properties

S & S | Module 1| L12 | System Properties

WC LTE | Module 2 | L5 | Tackling PAPR

WC LTE | Module 2 | L5 | Tackling PAPR

S & S | Module 1 | L11 Impulse function

S & S | Module 1 | L11 Impulse function

S & S | Module 1| L10 Unit Step, Ramp, Impulse

S & S | Module 1| L10 Unit Step, Ramp, Impulse

WC LTE | Module 2 | L4 PAPR

WC LTE | Module 2 | L4 PAPR

S & S| Module 1|L9 | Elementary Signals -Sinusoidal signals

S & S| Module 1|L9 | Elementary Signals -Sinusoidal signals

S & S | Module 1| Elementary signals: Exponential signals

S & S | Module 1| Elementary signals: Exponential signals

WC LTE | Module 2 | L3 | OFDM and where things can go wrong

WC LTE | Module 2 | L3 | OFDM and where things can go wrong

WC LTE | Mod 2 | Cyclic Prefix

WC LTE | Mod 2 | Cyclic Prefix

WC LTE | Module 2 | Multicarrier Modulation Intro

WC LTE | Module 2 | Multicarrier Modulation Intro

S & S | Module 1 | Reflection, Time shifting and precedence rule

S & S | Module 1 | Reflection, Time shifting and precedence rule

S & S | Module 1| Operations performed on sigmals

S & S | Module 1| Operations performed on sigmals

WC LTE | Module 1 | Mitigation of Broadband fading

WC LTE | Module 1 | Mitigation of Broadband fading

S & S | Module 1 | Power Vs Energy signals, Deterministic vs Random Signals

S & S | Module 1 | Power Vs Energy signals, Deterministic vs Random Signals

S & S | Module 1 | Periodic vs aperiodic example

S & S | Module 1 | Periodic vs aperiodic example

S & S | Module 1 | Even , odd decomposition, Periodic vs Aperiodic Signals

S & S | Module 1 | Even , odd decomposition, Periodic vs Aperiodic Signals

S & S | Module 1 | Even and Odd Signals

S & S | Module 1 | Even and Odd Signals

WC LTE | Module 1 | Fading and Mitigation of narrowband fading

WC LTE | Module 1 | Fading and Mitigation of narrowband fading

WC LTE | Module 1 | Cellular communication , Fading

WC LTE | Module 1 | Cellular communication , Fading

Seminar Guidelines 17ECS86

Seminar Guidelines 17ECS86

S & S | Module 1 | Classification of Signals

S & S | Module 1 | Classification of Signals

18EC52 | DSP | Module 5| FIR /IIR filters in Fixed point processors

18EC52 | DSP | Module 5| FIR /IIR filters in Fixed point processors

18EC52 | DSP | Module 5| Floating Point Representation review

18EC52 | DSP | Module 5| Floating Point Representation review

18EC52| DSP| Module 5 | DSP Processor

18EC52| DSP| Module 5 | DSP Processor

18EC52 | DSP | Module 4 | 2. IIR filters

18EC52 | DSP | Module 4 | 2. IIR filters

18EC52 | DSP | Module 4 |1. IIR filter

18EC52 | DSP | Module 4 |1. IIR filter

Digital Communication Lab Program 3: QPSK

Digital Communication Lab Program 3: QPSK

Digital Communication Lab Program 4: DBPSK

Digital Communication Lab Program 4: DBPSK

DC lab simulation 2: Pulse Code Modulation

DC lab simulation 2: Pulse Code Modulation

Digital Communication Lab Program 1: Eye Diagram

Digital Communication Lab Program 1: Eye Diagram

DIP| Wavelet application Examples and Intro to Morphological Image Processing

DIP| Wavelet application Examples and Intro to Morphological Image Processing

DIP | 4.2.1 | Color Image Processing

DIP | 4.2.1 | Color Image Processing

DIP | 4.2 |Color Image Processing

DIP | 4.2 |Color Image Processing

DIP | 4.1 | Color Image Processing

DIP | 4.1 | Color Image Processing

DSP | 3.2 | FIR filter design with example

DSP | 3.2 | FIR filter design with example

DSP| 3.1|FIR filter design using windows

DSP| 3.1|FIR filter design using windows

DSP LAB | Verification of Sampling Theorem in Frequency Domain

DSP LAB | Verification of Sampling Theorem in Frequency Domain

DSP | Filtering Long Duration Sequences | Overlap Add method

DSP | Filtering Long Duration Sequences | Overlap Add method

DSP | Numerical Assignments

DSP | Numerical Assignments

DIP | 3.4 | 2D Butterworth and Gaussian Filters

DIP | 3.4 | 2D Butterworth and Gaussian Filters

DIP | 3.3 | Enhancement in Frequency Domain | A low pass filter

DIP | 3.3 | Enhancement in Frequency Domain | A low pass filter

DIP | 3.2 | Enhancement in Frequency Domain | Basics and Ideal Low Pass Filter

DIP | 3.2 | Enhancement in Frequency Domain | Basics and Ideal Low Pass Filter

DIP | 3.1 | Enhancement in Frequency Domain | Intro

DIP | 3.1 | Enhancement in Frequency Domain | Intro

DSP | Symmetry Properties and Circular Convolution

DSP | Symmetry Properties and Circular Convolution

18EC52 | DSP | Properties of DFT

18EC52 | DSP | Properties of DFT

17EC72 | DIP | 2.10 | Image Sharpening , Unsharp Masking, High-boost Filtering

17EC72 | DIP | 2.10 | Image Sharpening , Unsharp Masking, High-boost Filtering

DIP | 2.9 | Sharpening Spatial Filters , Laplacian

DIP | 2.9 | Sharpening Spatial Filters , Laplacian

DIP | 2.8 | Smoothing Spatial Filters

DIP | 2.8 | Smoothing Spatial Filters

DIP | 2.7 | Spatial Filtering | Example

DIP | 2.7 | Spatial Filtering | Example

DIP | 2.5 | Intensity Transformation and Spatial Filtering | Histogram Specification

DIP | 2.5 | Intensity Transformation and Spatial Filtering | Histogram Specification

DIP | 2.6 | Spatial Filtering

DIP | 2.6 | Spatial Filtering

DIP | 2.4 | Intensity Transformation and Spatial Filtering | Histogram numerical

DIP | 2.4 | Intensity Transformation and Spatial Filtering | Histogram numerical

DIP | 2.3 | Intensity Transformation and Spatial Filtering : Histogram Equalization

DIP | 2.3 | Intensity Transformation and Spatial Filtering : Histogram Equalization

DIP | 2.2 | Intensity Transformation and Spatial Filtering

DIP | 2.2 | Intensity Transformation and Spatial Filtering

DIP | 2. 1 | Intensity Transformation and Spatial Filtering

DIP | 2. 1 | Intensity Transformation and Spatial Filtering

DSP: Discrete Fourier Transform, a numerical example

DSP: Discrete Fourier Transform, a numerical example

Why we need Fourier Analysis

Why we need Fourier Analysis