👉 Wavelet is a mathematical technique used to analyze and transform data in a discrete domain, such as time or frequency. It was first introduced by Yves Cornulier in 1960s and has since become one of the most widely used tools for signal processing and image analysis. Wavelets are an extension of Fourier transforms that allow for the decomposition of signals into their frequency components, which can be useful in various applications such as image compression, speech recognition, and audio enhancement. They are
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What is the definition of Wavelet? 🙋
👉 A wavelet is a mathematical function that represents a periodic signal in terms of its Fourier transform. It is named after the wave-like patterns it produces, and it has applications in various fields such as image processing, audio compression, and signal analysis. Wavelets are used to represent signals in the frequency domain, where they can be analyzed using techniques like Fourier analysis or Fast Fourier Transform (FFT).
