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Course Content
Introudction
Introduction to the Instructor, benefit from course, major components of the course, ideal students for the course, as well as course contents
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Course Introduction
05:32
Course Contents
04:43
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04:59
Basic Concepts of Wavelet Transforms
Basic concepts concerning wavelet transforms, such as time series, signals and waves, Fourier Transforms, wavelet transforms, wavelet classification, as well applications of wavelet transforms.
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Time Seires and Signals
03:26
Basic Concepts of Waves
04:42
Concepts of Fourier Transforms
04:43
Concepts of Wavelet Transforms
04:40
Wavelet Transform Classification
05:43
Applications of Wavelet Transforms
04:11
Setting up PyWavelets Environment
This lecture displays how to set up Pyhon wavelet transforms environment.
0/5
Installing Anaconda Pythonson
09:54
Adding Anaconda Powershell on Right-click Menu of Windows (Optional)
16:55
Required Packages
06:18
Basic Operations of Working Directory
10:28
Basic Operations of Jupyter Notebook
09:48
PyWavelets and its Built-in Wavelets
It introduces Python Wavelet Transforms library, wavelet families and their members.
0/5
Introduction to PyWavelets
03:32
PyWavelets Built-in Wavelets Families
11:04
Discrete Wavelets Properties
06:40
Continuous Wavelet Properties
04:58
Approximating Wavelet and Scaling Functions
15:59
Practical Python Wavelet Transforms (I): Fundamentals
About Lesson
This lecture discusses what wavelet transform can do.
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