Fourier Analysis
Fourier analysis is a mathematical technique that decomposes a complex signal into its individual sine and cosine components. In data science, Fourier analysis is used to transform time-domain data into frequency-domain data, allowing for the identification of periodic patterns and trends. This technique is commonly used in signal processing, image processing, and audio analysis. The Fourier transform is a key component of many machine learning algorithms, such as convolutional neural networks, which use it to extract features from images and other types of data. Additionally, Fourier analysis is used in data compression, where it is used to remove redundant information from a signal while preserving important features.
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