Knowra Signal processing Signal processing Signal processing is the analysis, transformation, and interpretation of signals, such as sound, images, and sensor measurements, using mathematical methods and electronic or computational systems.
Fourier transform : A mathematical operation that expresses a signal as a combination of sinusoidal frequencies. It exposes the frequency components that many processing methods analyze or modify.
Signal : A varying quantity that carries information about a phenomenon or message. Signal processing operates on measured or transmitted variations such as voltage, sound, and light.
Image processing : The computational analysis and transformation of images represented as spatial data. Images are multidimensional signals processed for enhancement, restoration, and feature extraction.
Control theory : The study of how systems can be regulated through feedback and control inputs. It uses signal models but focuses on guiding system behavior rather than interpreting signals.
Digital signal processing : The analysis and transformation of signals represented as discrete numerical samples. It applies signal-processing methods to sampled data using computers and dedicated hardware.
Linear time-invariant system : A system whose response obeys linearity and does not change when its input is shifted in time. This model makes many filtering and frequency-domain analyses tractable.
Speech processing : The computational analysis and transformation of spoken-language audio signals. It supports speech recognition, synthesis, enhancement, and speaker analysis.
Information theory : The mathematical study of information, compression, and reliable communication over noisy channels. It measures information limits, while signal processing develops operations on actual signal representations.
Sampling theorem : A result specifying when a band-limited continuous signal can be reconstructed from its samples. It sets the sampling rate needed to preserve a signal's information.
Impulse response : A system's output when its input is an idealized impulse. For a linear time-invariant system, it determines the response to any input.
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