NOC:Introduction to Time-Frequency Analysis and Wavelet Transforms (USB)
Media Storage Type : 32 GB USB Stick
NPTEL Subject Matter Expert : Dr. Arun K.Tangirala
NPTEL Co-ordinating Institute : IIT Madras
NPTEL Lecture Count : 59
NPTEL Course Size : 5.3 GB
NPTEL PDF Text Transcription : Available and Included
NPTEL Subtitle Transcription : Available and Included (SRT)
Lecture Titles:
Lecture 1 - Introduction - Lecture 1.1 A
Lecture 2 - Introduction - Lecture 1.1 B
Lecture 3 - Introduction - Lecture 1.2 A
Lecture 4 - Introduction - Lecture 1.2 B
Lecture 5 - Basic Definitions and concepts - Lecture 2.1 (Basic Definitions and concepts - Part I)
Lecture 6 - Basic Definitions and concepts - Lecture 2.2 (Basic Definitions and concepts - Part II)
Lecture 7 - Basic Definitions and concepts - Lecture 2.3 (Basic Definitions and concepts - Part III)
Lecture 8 - A review of Fourier transforms - Lecture 3.1 (Continuous time Fourier series)
Lecture 9 - A review of Fourier transforms - Lecture 3.2 (Continuous time Fourier transform)
Lecture 10 - A review of Fourier transforms - Lecture 3.3 (Discrete time Fourier series)
Lecture 11 - A review of Fourier transforms - Lecture 3.4 (Discrete time Fourier transform)
Lecture 12 - A review of Fourier transforms - Lecture 3.5 (Properties of Fourier transforms)
Lecture 13 - A review of Fourier transforms - Lecture 3.6 (Discrete Fourier transform)
Lecture 14 - A review of Fourier transforms - MATLAB demo of Fourier transform and periodogram
Lecture 15 - Duration and Bandwidth - Duration and Bandwidth
Lecture 16 - Duration and Bandwidth - Bandwidth equation and Instantaneous frequency
Lecture 17 - Duration and Bandwidth - Instantaneous frequency and analytic signals
Lecture 18 - Duration and Bandwidth - Duration-Bandwidth principle
Lecture 19 - Duration and Bandwidth - Requirements of time-frequency anlysis techniques
Lecture 20 - Duration and Bandwidth - Requirements of time-frequency analysis and techniques
Lecture 21 - Short-time Fourier transform - Short-time Fourier transform
Lecture 22 - Short-time Fourier transform - Auxillary (MATLAB demonstration)
Lecture 23 - Short-time Fourier transform - Properties of STFT
Lecture 24 - Practical aspects of STFT
Lecture 25 - Closing Remarks
Lecture 26 - Wigner-Ville Distributions
Lecture 27 - Properties of WVD
Lecture 28 - Properties of WVD 2
Lecture 29 - Discrete WVD
Lecture 30 - Pseudo and Smoothed WVD
Lecture 31 - Cohens class and smoothed WVD
Lecture 32 - Cohens class and smoothed WVD
Lecture 33 - Cohens class and Ambiguity functions
Lecture 34 - Affine class and closing remarks
Lecture 35 - Continuous Wavelet Transform
Lecture 36 - Continuous Wavelet Transforms
Lecture 37 - Scale to Frequency
Lecture 38 - Computational aspects of CWT
Lecture 39 - Scalogram and MATLAB demonstration
Lecture 40 - Scalogram and MATLAB demonstration
Lecture 41 - Scaling function
Lecture 42 - Scaling Function
Lecture 43 - Wavelets
Lecture 44 - Wavelets
Lecture 45 - Applications of CWT
Lecture 46 - Applications of CWT
Lecture 47 - Discrete Wavelet Transform
Lecture 48 - Discrete Wavelet Transform.
Lecture 49 - Orthogonal scaling function bases and MRA
Lecture 50 - Orthogonal scaling function bases and MRA.
Lecture 51 - Wavelet Filters and Fast DWT Algorithm
Lecture 52 - Wavelet Filters and Fast DWT Algorithm (Continued...)
Lecture 53 - Wavelet Filters and Fast DWT Algorithm (Continued...)
Lecture 54 - Wavelets for DWT
Lecture 55 - Wavelets for DWT (Continued...)
Lecture 56 - Wavelets for DWT (Continued...)
Lecture 57 - DWT computation
Lecture 58 - DWT computation (Continued...)
Lecture 59 - DWT computation (Continued...)