Signals are generally data from the real-world, acquired through sensors. In the same manner that the ear captures sound waves and the eye captures electromagnetics waves with wavelengths between 400 and 700 nanometers to have a representation in image and color of our environment.
A signal is represented as a function of one or more parameters such as time (time domain), range (spatial domain), frequency (spectral domain)... For example, we may represent a voltage, light intensity, sound pressure as a function of time, the rock intensity as a function of range.
The signal's shape can be visualized on a plot, and would give further information about
the signal's evolutions and trends (periodicity, statistics, ...).
DSP has brought a revolutionary in science and engineering since 1970's when the computer becomes available. Today DSP impacts research and development in many fields such as communications, speech and sound processing, medical, geophysics, oil and gas exploration and exploitation, military, radar, sonar, image processing, automobile, aeronautics, embedded systems ... DSP is used for example in noise reduction, speech generation and recognition, echo cancellation, artificial reverberation, computed tomography scanner, ... DSP is present in many devices such mobile phones, pda, portable ECG analyzer, Mud logging, ... DSP is a crucial tool for any engineer working in high technology.
@uthor: Joan MOUBA
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