What is Signal Processing

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Signal processing is an area of applied mathematics that deals with operations on or analysis of signals, in either discrete or continuous time to perform useful operations on those signals. Depending upon the application, a useful operation could be control, data compression, data transmission, denoising, prediction, filtering, smoothing, deblurring, tomographic reconstruction, identification, classification, or a variety of other operations. Signals of interest can include sound, images, time-varying measurement values and sensor data, for example biological data such as electrocardiograms, control system signals, telecommunication transmission signals such as radio signals, and many others. Learn more in: Trends of ECG Analysis and Diagnosis

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Removing unwanted signals from the data. Learn more in: Emotion Detection and Classification Using Machine Learning Techniques

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The analysis, interpretation and manipulation of signals. Processing of such signals includes storage and reconstruction, separation of information from noise, compression, and feature extraction Learn more in: A Hybrid System for Automatic Infant Cry Recognition II

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A domain of mathematics treating approximations to a given function using a mathematical theorem claiming that each smooth function may be approximated a series of orthogonal functions. This includes checking a manipulated partial set of a converging series of a newly approximated function to a function of desired accuracy and having some required properties such as smoothness and eliminating those components generating noise. Learn more in: Visualization and Storage of Big Data for Linguistic Applications

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Extraction of information from complex signals, generally by conversion of the signals into digital form followed by analysis using different algorithms. Learn more in: Regularity Analysis of the Magnetoencephalogram Background Activity in Alzheimer's Disease Patients Using Auto Mutual Information

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Operation or analysis of analog/digitized signals and represents time-varying or spatially varying physical quantities. Learn more in: Alzheimer's Electroencephalogram Event Scalp and Source Localization

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It concerns the analysis, synthesis, and modification of signals, which are broadly defined as functions conveying information about the behavior or attributes of some phenomenon. Signal processing techniques are used to improve signal transmission fidelity, storage efficiency, and subjective quality, and to emphasize or detect components of interest in a measured signal. Learn more in: Real-Time ECG-Based Biometric Authentication System