NOC:Signal Processing Techniques and its Applications

Lecture 1 - Introduction

Lecture 2 - Signal and its Types

Lecture 3 - Characteristics of a Signal

Lecture 4 - Digitization of Signal

Lecture 5 - Digitization of Signal (Continued...)

Lecture 6 - Concept of Frequency in Continuous-time and Discrete-time Signal

Lecture 7 - Tutorial 1

Lecture 8 - Discrete Time Signal

Lecture 9 - Discrete Time System

Lecture 10 - D.T.S (L.T.I System)

Lecture 11 - Linear Time-Invariant Systems (Continued...)

Lecture 12 - Correlation

Lecture 13 - Tutorial 02

Lecture 14 - Z-Transform

Lecture 15 - Z-Transform Properties

Lecture 16 - Pole and Zero in Z-Transform

Lecture 17 - Inverse Z-Transform

Lecture 18 - Frequency-Domain Representation of Discrete Signals and L.T.I Systems

Lecture 19 - Discrete Fourier Transform (DFT)

Lecture 20 - Discrete Fourier Transform Linear Transform View

Lecture 21 - Discrete Fourier Transform Linear Transform View (Continued...)

Lecture 22 - Properties of Discrete Fourier Transform

Lecture 23 - Properties of Discrete Fourier Transform (Continued...)

Lecture 24 - Properties of Discrete Fourier Transform (Continued...)

Lecture 25 - Properties of Discrete Fourier Transform (Continued...)

Lecture 26 - Linear Filtering

Lecture 27 - Tutorial 5

Lecture 28 - Two Dimensional Discrete Fourier Transform

Lecture 29 - Discrete Cosine Transform

Lecture 30 - Frequency analysis of long signal using DFT

Lecture 31 - Short-Time Fourier Transform (STFT)

Lecture 32 - STFT Synthesis

Lecture 33 - Fast Fourier Transform (FFT) Algorithms

Lecture 34 - Fast Fourier Transform (FFT) Algorithms (Continued...)

Lecture 35 - Radix-2 FFT Algorithms

Lecture 36 - Radix-2 FFT Algorithms (Continued...)

Lecture 37 - Spectrum and spectrogram

Lecture 38 - Digital Filter

Lecture 39 - FIR Filter

Lecture 40 - Linear Symmetric and Anti-symmetric filter

Lecture 41 - FIR Filter Design

Lecture 42 - Frequency Sampling Method

Lecture 43 - Design Optimum equiripple Linear-Phase FIR Filters (optimization methods)

Lecture 44 - Infinite Impulse Response (IIR) Filters

Lecture 45 - Traditional Analog Filter Design

Lecture 46 - Chebyshev filter Design Method

Lecture 47 - Analogue filter to digital filter transformation

Lecture 48 - Linear Prediction and Optimum Linear Filters

Lecture 49 - Autocorrelation Method for Linear Prediction

Lecture 50 - Covariance Method for Linear Prediction

Lecture 51 - Lattice Formulations of Linear Prediction

Lecture 52 - Lattice Formulations of Linear Prediction (Continued....)

Lecture 53 - Introduction to Multirate Signal Processing

Lecture 54 - Analysis of Decimation and Interpolation

Lecture 55 - Fractional Rate Conversion

Lecture 56 - Implementations of Decimator and Interpolator

Lecture 57 - Sample Rate Conversion by Stages

Lecture 58 - Power Spectrum Estimation

Lecture 59 - Power Spectrum Estimation (Continued...)

Lecture 60 - Tutorial 6: Tutorial for Final Examination