Wavelet Analysis: Concepts with Wolfram Language

Offered By: LinkedIn Learning

Tags

Data Analysis Courses Signal Processing Courses Mathematical Modeling Courses Wolfram Language Courses Wavelet Analysis Courses

Course Description

Overview

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Learn how the Wolfram Language can be used to construct, compute, visualize, and analyze wavelet transforms and related functions.

Syllabus

Introduction

Introduction

1. Continuous Wavelet Transform

Continuous wavelet transform

2. Discrete Wavelets

Discrete wavelets

3. Wavelet Filter Bank

Wavelet filter bank

4. Discrete Wavelet Data

Discrete wavelet data

5. Wavelet Best Basis

Wavelet best basis

6. Wavelet Thresholding

Wavelet thresholding

References

References

Taught by

Wolfram Research

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