Signal Processing
Signal processing is the field of study that focuses on the analysis, synthesis, and modification of signals, which are mathematical representations of physical quantities that vary with time, space, or any other independent variable. In the context of data science and artificial intelligence, signal processing is used to extract meaningful information from signals, such as images, sounds, and sensor data, by applying mathematical algorithms and statistical models. Signal processing techniques are used in a wide range of applications, including speech recognition, image and video processing, biomedical signal analysis, and control systems. Signal processing involves several stages, such as signal acquisition, pre-processing, feature extraction, and classification, each of which requires specialized techniques and tools.
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