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What is Signal Processing

Handbook of Research on Trends in the Diagnosis and Treatment of Chronic Conditions
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.
Published in Chapter:
Trends of ECG Analysis and Diagnosis
Swanirbhar Majumder (NERIST (Deemed University), India) and Saurabh Pal (University of Calcutta, India)
DOI: 10.4018/978-1-4666-8828-5.ch009
Any biomedical signal has the specialty in terms of the remoteness and nature of their source as an advantage over other natural signals. The analysis of biomedical signal plays a significant role in medical, and to be exact cardiological decision making, provided, the subject information is accurate and reliable. Normally experienced and trained medical practitioners, are known to study and know them better, but in this age of technology computerized expert system are better for long term continuous monitoring and automatic decision making. This led to evolution of biomedical engineering as a separate wing where parts of engineering under automatic signal processing and analysis studies are done. ECG being the most vital physiological signal, its acquisition technique, noise and artifacts elimination methodologies are discussed in this chapter. A brief description on ECG and its usage as biometric and analysis of Atrial Fibrillation is presented.
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A Hybrid System for Automatic Infant Cry Recognition II
The analysis, interpretation and manipulation of signals. Processing of such signals includes storage and reconstruction, separation of information from noise, compression, and feature extraction
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Visualization and Storage of Big Data for Linguistic Applications
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.
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Regularity Analysis of the Magnetoencephalogram Background Activity in Alzheimer's Disease Patients Using Auto Mutual Information
Extraction of information from complex signals, generally by conversion of the signals into digital form followed by analysis using different algorithms.
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Alzheimer's Electroencephalogram Event Scalp and Source Localization
Operation or analysis of analog/digitized signals and represents time-varying or spatially varying physical quantities.
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Real-Time ECG-Based Biometric Authentication System
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.
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