Канал: Shivani Dhok

Summary Session || Solved Examples: Assignment Queries || NPTEL || DSP & Applications

Summary Session || Solved Examples: Assignment Queries || NPTEL || DSP & Applications

Week 12 || Solved Examples: Discrete Fourier Transform || NPTEL || DSP & Applications

Week 12 || Solved Examples: Discrete Fourier Transform || NPTEL || DSP & Applications

Week 11 || Solved Examples: System Realizations || NPTEL || DSP & Applications

Week 11 || Solved Examples: System Realizations || NPTEL || DSP & Applications

Week 10 || Solved Examples: FIR Filter and System Realizations || NPTEL || DSP & Applications

Week 10 || Solved Examples: FIR Filter and System Realizations || NPTEL || DSP & Applications

Week 9 || Solved Examples: Band Stop Digital and FIR Filter Design || NPTEL || DSP & Applications

Week 9 || Solved Examples: Band Stop Digital and FIR Filter Design || NPTEL || DSP & Applications

Week 8 || Solved Examples: Digital Filter Design || NPTEL || DSP & Applications

Week 8 || Solved Examples: Digital Filter Design || NPTEL || DSP & Applications

Week 7 || Solved Examples: Butterworth Filter Design || NPTEL || DSP & Applications

Week 7 || Solved Examples: Butterworth Filter Design || NPTEL || DSP & Applications

Week 6 || Solved Examples: Z-Transform for Rational Systems || NPTEL || DSP & Applications

Week 6 || Solved Examples: Z-Transform for Rational Systems || NPTEL || DSP & Applications

Week 5 || Solved Examples: Z Transform || NPTEL || DSP & Applications

Week 5 || Solved Examples: Z Transform || NPTEL || DSP & Applications

Week 4 || Solved Examples: Discrete-time Fourier Transform || NPTEL || DSP & Applications

Week 4 || Solved Examples: Discrete-time Fourier Transform || NPTEL || DSP & Applications

Week 3 || Solved Examples: Causality, memoryless, stable systems || NPTEL || DSP & Applications

Week 3 || Solved Examples: Causality, memoryless, stable systems || NPTEL || DSP & Applications

Week 2 || Solved Examples: LTI or LSI systems || NPTEL || DSP & Applications

Week 2 || Solved Examples: LTI or LSI systems || NPTEL || DSP & Applications

Week 1 || Solved Examples: Sampling and Reconstruction || NPTEL || DSP & Applications

Week 1 || Solved Examples: Sampling and Reconstruction || NPTEL || DSP & Applications

Week 13 || Summary session || NPTEL || Modern Digital Communication Techniques

Week 13 || Summary session || NPTEL || Modern Digital Communication Techniques

Week 12||Solved Examples: ML, LS, LMMSE, CRLB || NPTEL || Modern Digital Communication Techniques

Week 12||Solved Examples: ML, LS, LMMSE, CRLB || NPTEL || Modern Digital Communication Techniques

Week 11||Solved Example:Capacity,Bandlimited channel||NPTEL||Modern Digital Communication Techniques

Week 11||Solved Example:Capacity,Bandlimited channel||NPTEL||Modern Digital Communication Techniques

Week 10 ||Solved Examples: Probability of Error || NPTEL || Modern Digital Communication Techniques

Week 10 ||Solved Examples: Probability of Error || NPTEL || Modern Digital Communication Techniques

Week 9 ||Solved Example: MAP, ML, Matched Filter || NPTEL || Modern Digital Communication Techniques

Week 9 ||Solved Example: MAP, ML, Matched Filter || NPTEL || Modern Digital Communication Techniques

Week 8||Solved Example:OQPSK,Spectral Characteristic||NPTEL||Modern Digital Communication Techniques

Week 8||Solved Example:OQPSK,Spectral Characteristic||NPTEL||Modern Digital Communication Techniques

Week 7 || Solved Examples: FSK, CPFSK, NRZ, NRZI || NPTEL || Modern Digital Communication Techniques

Week 7 || Solved Examples: FSK, CPFSK, NRZ, NRZI || NPTEL || Modern Digital Communication Techniques

Week 6 || Solved Examples: Modulation Schemes || NPTEL || Modern Digital Communication Techniques

Week 6 || Solved Examples: Modulation Schemes || NPTEL || Modern Digital Communication Techniques

Week 5||Solved Example: Correlation and Signal Space||NPTEL||Modern Digital Communication Techniques

Week 5||Solved Example: Correlation and Signal Space||NPTEL||Modern Digital Communication Techniques

Week 4||Solved Example:Quantization, Complex Baseband||NPTEL||Modern Digital Communication Technique

Week 4||Solved Example:Quantization, Complex Baseband||NPTEL||Modern Digital Communication Technique

Week 3 || Solved Examples: Source codes & Sampling ||NPTEL|| Modern Digital Communication Techniques

Week 3 || Solved Examples: Source codes & Sampling ||NPTEL|| Modern Digital Communication Techniques

Week 2 || Solved Examples: Kraft Inequality, etc || NPTEL || Modern Digital Communication Techniques

Week 2 || Solved Examples: Kraft Inequality, etc || NPTEL || Modern Digital Communication Techniques

Week 1 || Solved Examples: Introductory Concepts || NPTEL || Modern Digital Communication Techniques

Week 1 || Solved Examples: Introductory Concepts || NPTEL || Modern Digital Communication Techniques

Solved Examples: System Realization, Group & Phase delay || NPTEL || Principles of Signals & Systems

Solved Examples: System Realization, Group & Phase delay || NPTEL || Principles of Signals & Systems

Solved Examples: DFT and its properties || NPTEL || Principles of Signals and Systems

Solved Examples: DFT and its properties || NPTEL || Principles of Signals and Systems

Solved Examples: DTFT and its properties || NPTEL || Principles of Signals and Systems

Solved Examples: DTFT and its properties || NPTEL || Principles of Signals and Systems

Solved Examples: Sampling & DT Fourier Series || NPTEL || Principles of Signals and Systems

Solved Examples: Sampling & DT Fourier Series || NPTEL || Principles of Signals and Systems

Solved Examples: Bode Plots and Hilbert Transform || NPTEL || Principles of Signals and Systems

Solved Examples: Bode Plots and Hilbert Transform || NPTEL || Principles of Signals and Systems

Solved Examples: Fourier Transform || NPTEL || Principles of Signals and Systems

Solved Examples: Fourier Transform || NPTEL || Principles of Signals and Systems

Solved Examples: Fourier Series || NPTEL || Principles of Signals and Systems

Solved Examples: Fourier Series || NPTEL || Principles of Signals and Systems

Solved Examples: Z-Transform || NPTEL || Principles of Signals and Systems

Solved Examples: Z-Transform || NPTEL || Principles of Signals and Systems

Solved Examples: Laplace Transform & its inverse|| NPTEL || Principles of Signals and Systems

Solved Examples: Laplace Transform & its inverse|| NPTEL || Principles of Signals and Systems

Solved Examples: LTI System, Laplace Transform || NPTEL || Principles of Signals and Systems

Solved Examples: LTI System, Laplace Transform || NPTEL || Principles of Signals and Systems

Solved Examples: Classification of Systems, LTI System || NPTEL || Principles of Signals and Systems

Solved Examples: Classification of Systems, LTI System || NPTEL || Principles of Signals and Systems

Solved Examples: Classification of Signals & Systems || NPTEL || Principles of Signals and Systems

Solved Examples: Classification of Signals & Systems || NPTEL || Principles of Signals and Systems

IP Phone Network Design

IP Phone Network Design

Mod9 Lec4: Revising Sampling, Decimation and Interpolation. Introduction to I/D resampling.

Mod9 Lec4: Revising Sampling, Decimation and Interpolation. Introduction to I/D resampling.

Mod9 Lec3: Interpolation of Discrete Time Signals

Mod9 Lec3: Interpolation of Discrete Time Signals

Mod9 Lec2: Decimation of Discrete Time Signals

Mod9 Lec2: Decimation of Discrete Time Signals

Mod9 Lec1: Sampling of Discrete Time Signals

Mod9 Lec1: Sampling of Discrete Time Signals

Mod8 Lec3: Reconstruction of Continuous Time Signal from Sampled Signals and Sampling Theorem.

Mod8 Lec3: Reconstruction of Continuous Time Signal from Sampled Signals and Sampling Theorem.

Mod8 Lec2: Interpretations of sampling of continuous time signals in Frequency domain.

Mod8 Lec2: Interpretations of sampling of continuous time signals in Frequency domain.

Mod8 Lec1: Sampling of Continuous Time Signals (Time Domain)

Mod8 Lec1: Sampling of Continuous Time Signals (Time Domain)

Mod7 Lec2: Overlap and Save method for Real Time Filtering

Mod7 Lec2: Overlap and Save method for Real Time Filtering

Mod7 Lec1: Overlap and Add Method for Real Time Filtering

Mod7 Lec1: Overlap and Add Method for Real Time Filtering

Mod6 Lec20: Inverse DFT using DIT-FFT structure

Mod6 Lec20: Inverse DFT using DIT-FFT structure

Mod6 Lec19: Comparing DIT-FFT and DIF-FFT Algorithms. How are they "fast"?

Mod6 Lec19: Comparing DIT-FFT and DIF-FFT Algorithms. How are they "fast"?

Mod6 Lec18: Example for DIF-FFT (N = 8)

Mod6 Lec18: Example for DIF-FFT (N = 8)

Mod6 Lec17: Example for DIF-FFT (N = 4)

Mod6 Lec17: Example for DIF-FFT (N = 4)

Mod6 Lec16: Introduction to Decimation in Frequency Fast Fourier Transform

Mod6 Lec16: Introduction to Decimation in Frequency Fast Fourier Transform

Mod6 Lec15: Example for DIT-FFT (N = 8)

Mod6 Lec15: Example for DIT-FFT (N = 8)

Mod6 Lec14: Example For DIT-FFT (N = 4)

Mod6 Lec14: Example For DIT-FFT (N = 4)

Mod6 Lec13: Introduction to Decimation in Time Fast Fourier Transform

Mod6 Lec13: Introduction to Decimation in Time Fast Fourier Transform

Mod6 Lec12: Complexity of DFT Algorithm and Need for Faster Implementation

Mod6 Lec12: Complexity of DFT Algorithm and Need for Faster Implementation

Mod6 Lec11: Properties of Twiddle Factor

Mod6 Lec11: Properties of Twiddle Factor

Mod6 Lec10: Matrix Representation for DFT and IDFT

Mod6 Lec10: Matrix Representation for DFT and IDFT

Mod6 Lec9: Properties of DFT for Real Valued Signals

Mod6 Lec9: Properties of DFT for Real Valued Signals

Mod6 Lec8: Revising Properties of Discrete Fourier Transform

Mod6 Lec8: Revising Properties of Discrete Fourier Transform

Mod6 Lec7: Properties of Discrete Fourier Transform

Mod6 Lec7: Properties of Discrete Fourier Transform

Mod6 Lec6: Relating Circular Convolution to Linear Convolution

Mod6 Lec6: Relating Circular Convolution to Linear Convolution

Mod6 Lec5: Example for Circular Convolution

Mod6 Lec5: Example for Circular Convolution

Mod6 Lec4: Circular Convolution

Mod6 Lec4: Circular Convolution

Mod6 Lec3: Periodicity and Modulo Operation

Mod6 Lec3: Periodicity and Modulo Operation

Mod6 Lec2: Example for DFT and choosing value of 'N'

Mod6 Lec2: Example for DFT and choosing value of 'N'

Mod6 Lec1: Introducing to Discrete Fourier Transform

Mod6 Lec1: Introducing to Discrete Fourier Transform

Mod5 Lec2: Realization of Systems: Introduction to Cascade and Parallel Form

Mod5 Lec2: Realization of Systems: Introduction to Cascade and Parallel Form

Mod5 Lec1: Realization of Systems: Introduction to Direct Form 1 & Direct Form 2 System Realizations

Mod5 Lec1: Realization of Systems: Introduction to Direct Form 1 & Direct Form 2 System Realizations

Mod4 Lec19: Comparing FIR and IIR Filters

Mod4 Lec19: Comparing FIR and IIR Filters

Mod4 Lec18: Example to design Digital IIR Band Stop Filter

Mod4 Lec18: Example to design Digital IIR Band Stop Filter

Mod4 Lec17: Designing of Digital IIR Band Stop Filter

Mod4 Lec17: Designing of Digital IIR Band Stop Filter

Mod4 Lec16: Example for Designing a Digital IIR Bandpass Filter

Mod4 Lec16: Example for Designing a Digital IIR Bandpass Filter

Mod4 Lec15: How to design a Bandpass Filter

Mod4 Lec15: How to design a Bandpass Filter

Mod4 Lec14: Validating the Example of Digital IIR High Pass Filter Using MATLAB

Mod4 Lec14: Validating the Example of Digital IIR High Pass Filter Using MATLAB

Mod4 Lec13: Designing Digital IIR High Pass Filter

Mod4 Lec13: Designing Digital IIR High Pass Filter

Mod4 Lec12: Validating the Example for Designing the Digital IIR Low Pass Filter using MATLAB

Mod4 Lec12: Validating the Example for Designing the Digital IIR Low Pass Filter using MATLAB

Mod4 Lec11: Example to Design Digital IIR Low Pass Filter

Mod4 Lec11: Example to Design Digital IIR Low Pass Filter

Mod4 Lec10: Understanding the Specifications of the LPF, finding the order and cutoff frequency

Mod4 Lec10: Understanding the Specifications of the LPF, finding the order and cutoff frequency

Mod4 Lec9: Procedure to Design Digital IIR Lowpass Filter

Mod4 Lec9: Procedure to Design Digital IIR Lowpass Filter

Mod4 Lec8: Frequency Warping and the Need for Prewarping in Bilinear Transform

Mod4 Lec8: Frequency Warping and the Need for Prewarping in Bilinear Transform

Mod4 Lec7: Insights into Bilinear Transform

Mod4 Lec7: Insights into Bilinear Transform

Mod4 Lec6: Mapping H(s) to H(z), Introduction to Bilinear Transform

Mod4 Lec6: Mapping H(s) to H(z), Introduction to Bilinear Transform

Mod4 Lec5: Mapping H(s) to H(z) by the obvious substitution using the first difference approximation

Mod4 Lec5: Mapping H(s) to H(z) by the obvious substitution using the first difference approximation

Mod4 Lec4: Requirements to Map an Analog Filter to its Equivalent Digital Filter

Mod4 Lec4: Requirements to Map an Analog Filter to its Equivalent Digital Filter

Mod4 Lec3: Introduction to Butterworth Filters

Mod4 Lec3: Introduction to Butterworth Filters

Mod4 Lec2: How to Design IIR Filters?

Mod4 Lec2: How to Design IIR Filters?

Mod4 Lec1: Introduction to IIR Filters

Mod4 Lec1: Introduction to IIR Filters

Mod3 Lec14: Linear Phase Systems

Mod3 Lec14: Linear Phase Systems

Mod3 Lec13: Types of Filters based on Symmetry and Order

Mod3 Lec13: Types of Filters based on Symmetry and Order

Mod3 Lec12: Design of HPF, BPF and BSF using a prototype Low Pass Filter.

Mod3 Lec12: Design of HPF, BPF and BSF using a prototype Low Pass Filter.

Mod3 Lec11: Pole Zero Plots for the LPF, HPF, BPF and BSF

Mod3 Lec11: Pole Zero Plots for the LPF, HPF, BPF and BSF

Mod3 Lec10: Design of Band Stop/Reject Filter

Mod3 Lec10: Design of Band Stop/Reject Filter

Mod3 Lec9: Design of Band-Pass Filters

Mod3 Lec9: Design of Band-Pass Filters

Mod3 Lec8: Design of High Pass Filter

Mod3 Lec8: Design of High Pass Filter

Mod3 Lec7: Example for FIR Filter Designing

Mod3 Lec7: Example for FIR Filter Designing

Mod3 Lec6: Designing a Causal FIR Filter

Mod3 Lec6: Designing a Causal FIR Filter

Mod3 Lec5: Properties of Windows

Mod3 Lec5: Properties of Windows

Mod3 Lec4: Introduction to Filter Design using Windows

Mod3 Lec4: Introduction to Filter Design using Windows

Mod3 Lec3: Issues with Ideal Filter and Introduction to FIR Filters

Mod3 Lec3: Issues with Ideal Filter and Introduction to FIR Filters

Mod3 Lec2: Designing an Ideal Low-Pass Filter

Mod3 Lec2: Designing an Ideal Low-Pass Filter

Mod3 Lec1: Introduction to Filters

Mod3 Lec1: Introduction to Filters

Mod2 Lec9: Four possibilities of systems that have zero location and magnitude response.

Mod2 Lec9: Four possibilities of systems that have zero location and magnitude response.

Mod2 Lec8: Representing Non-Minimum Phase systems using Minimum Phase systems and All Pass Filter.

Mod2 Lec8: Representing Non-Minimum Phase systems using Minimum Phase systems and All Pass Filter.

Mod2 Lec7: Interpretations For Maximum and Minimum Phase Systems.

Mod2 Lec7: Interpretations For Maximum and Minimum Phase Systems.

Mod2 Lec6: Introduction Maximum and Minimum Phase systems

Mod2 Lec6: Introduction Maximum and Minimum Phase systems

Mod2 Lec5: Effect of Position of Zeros on The Magnitude of Fourier Transform

Mod2 Lec5: Effect of Position of Zeros on The Magnitude of Fourier Transform

Mod2 Lec4 : Effect of Position of Poles on The magnitude of Fourier Transform (Continued...).

Mod2 Lec4 : Effect of Position of Poles on The magnitude of Fourier Transform (Continued...).

Mod2 Lec3: Effect of The Position Of Single Pole On The Magnitude Of Fourier Transform.

Mod2 Lec3: Effect of The Position Of Single Pole On The Magnitude Of Fourier Transform.

Mod2 Lec2: Z-Transform of a Real System

Mod2 Lec2: Z-Transform of a Real System

Mod2 Lec1: Z Transform For Systems

Mod2 Lec1: Z Transform For Systems

Mod1 Lec12: Laplace Transform and Z-Transform ... A Comparative Study

Mod1 Lec12: Laplace Transform and Z-Transform ... A Comparative Study

Mod1 Lec11: Properties of Z-Transform

Mod1 Lec11: Properties of Z-Transform

Mod1 Lec10: Inverse Z-Transform (Power Series Method)

Mod1 Lec10: Inverse Z-Transform (Power Series Method)

Mod1 Lec9: Inverse Z-Transform (Partial Fractions Method)

Mod1 Lec9: Inverse Z-Transform (Partial Fractions Method)

Mod1 Lec8: Inverse Z-Transform

Mod1 Lec8: Inverse Z-Transform

Mod1 Lec7: ROC interpretations for Systems

Mod1 Lec7: ROC interpretations for Systems

Mod1 Lec6: Properties of ROC

Mod1 Lec6: Properties of ROC

Mod1 Lec5: Example for Z-Transform (Continued...)

Mod1 Lec5: Example for Z-Transform (Continued...)

Mod1 Lec4: Uniqueness of Z-Transform

Mod1 Lec4: Uniqueness of Z-Transform

Mod1 Lec3: ROC Visualization on Z-Plane

Mod1 Lec3: ROC Visualization on Z-Plane

Mod1 Lec2: Example for Z-Transform

Mod1 Lec2: Example for Z-Transform

Mod1 Lec1: Introduction To Z-Transform

Mod1 Lec1: Introduction To Z-Transform