English
New Course
Concept
Wavelet Transforms
Follow
0
Summary
Wavelet Transforms
are
Mathematical Tools
used for
Decomposing signals
into
Different frequency components
, allowing for both
Time and frequency analysis
. They are particularly useful in
Signal Processing
for tasks like
Noise Reduction
, compression, and
Feature Extraction
due to their ability to provide
Multi-resolution Analysis
of data.
Concepts
Discrete Wavelet Transform
Continuous Wavelet Transform
Multi-resolution Analysis
Wavelet Basis Functions
Haar Wavelet
Daubechies Wavelet
Wavelet Packet Transform
Time-Frequency Analysis
Signal Denoising
Data Compression
Fourier Transform
Scalogram
Wavelet Coefficients
Inverse Wavelet Transform
Nonlinear Time Series
Multi-scale Analysis
Relevant Degrees
Pattern Recognition Systems 100%
Start Learning Journey
Generate Assignment Link
Lessons
Concepts
Suggested Topics
Foundational Courses
Activity
Your Lessons
Your lessons will appear here when you're logged in.
Log In
Sign up