orthogonal wavelets

Orthogonal wavelets are mathematical functions used in signal processing and data analysis. They help to break down complex signals into simpler components, making it easier to analyze and reconstruct data. The term "orthogonal" means that these wavelets do not interfere with each other, allowing for clear separation of different frequencies in a signal. This property makes them powerful tools in applications like image compression, where they can help reduce file sizes while preserving important details. Overall, orthogonal wavelets provide a flexible way to represent and manipulate various types of data efficiently.