## Description

Practical Python Wavelet Transforms (I): Fundamentals is a training course on wavelet transform concepts published by Udemy Online Academy. Wavelet transform (WT) or wavelet analysis is probably the newest solution to overcome the shortcomings of Fourier transform (FT). Wavelet transform (WT) transforms a signal in period (or frequency) without losing time resolution. In the field of signal processing, wavelet transform (WT) provides a method for decomposing an input signal of interest into a set of elementary waveforms, i.e. wavelets, and then analyzing the signal by examining the coefficients (or weights) of these wavelets. So, if you can learn this great tool, it will be great for your future development.

Wavelet transform can be used for stationary and non-stationary signals such as removing noise from signals, trend analysis and forecasting, detecting sudden discontinuities, abnormal change or behavior, etc., compressing large amounts of data, encoding data, i.e. Use data security and combine it with machine learning to improve modeling accuracy. In this tutorial you will learn wavelet transform (WT) using real word modes. In this valuable course, you will get to know the basic concepts about wavelet transform, wavelet family and their members, wavelet functions and their scaling and visualization, as well as setting up the Python wavelet transform environment. After completing this course, you will be able to learn more advanced topics of wavelet transforms.

### What you will learn in the Practical Python Wavelet Transforms (I): Fundamentals course:

• Difference between time series and signals
• Basic Concepts of Wavelet Transform (WT)
• Classification and Applications of Wavelet Transform (WT)
• Approximation of discrete wavelet functions and their scaling and visualization
• And …

### Course details

Publisher: Yudmi
teacher: Dr. Shouke Wei
English language
Education level: introductory
Number of courses: 17
Training duration: 2 hours and 5 minutes

### Practical Python Wavelet Transforms (I): Fundamentals course prerequisites

Basic Python programming experience needed
Basic knowledge on Jupyter notebook, Python data analysis and visualization are advantages, but are not required

### Installation guide

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English subtitle

Quality: 720p