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Signal processing

From Simple English Wikipedia, the free encyclopedia

Signal processing is the analysis, interpretation and manipulation of signals. Signals of interest include sound, images, biological signals such as ECG, radar signals, and many others.

Processing of such signals includes storage and reconstruction, separation of information from noise (e.g., aircraft identification by radar), compression (e.g., image compression), and feature extraction (e.g., speech-to-text conversion).

Signal classification

For analog signals, signal processing may involve the amplification and filtering of audio signals for audio equipment or the modulation and demodulation of signals for telecommunications. For digital signals, signal processing may involve the compression, error checking and error detection of digital signals.

Method of Signal processing

Signal processing is the analysis, interpretation and manipulation of acquired signals. Acquired signals must to be processed depending on the purpose of measurement, a method of measurement, and a property of acquired signals.

When signals are processed, statistics is used because it's essential to know a distribution of data and represent data by numerical formulas. In other words, to study signal processing, it's demanded to study statistics (like the theory of error, the arithmetical mean, probability, a stochastic variable, accuracy, and detailed drawing, etc.).

See also