Signal Acquisition
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Signal Acquisition
Data acquisition is the process of Sampling (signal processing), sampling signals that measure real-world physical conditions and converting the resulting samples into Digital data, digital numeric values that can be manipulated by a computer. Data acquisition systems, abbreviated by the acronyms ''DAS,'' ''DAQ,'' or ''DAU,'' typically convert analog waveforms into Digital signal, digital values for processing. The components of data acquisition systems include: * Sensors, to convert physical parameters to electrical signals. * Signal conditioning circuitry, to convert sensor signals into a form that can be converted to digital values. * Analog-to-digital converters, to convert conditioned sensor signals to digital values. Data acquisition applications are usually controlled by software programs developed using various general purpose programming languages such as Assembly language, Assembly, BASIC, C (programming language), C, C++, C Sharp (programming language), C#, Fortran, J ...
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Sampling (signal Processing)
In signal processing, sampling is the reduction of a continuous-time signal to a discrete-time signal. A common example is the conversion of a sound wave to a sequence of "samples". A sample is a value of the signal at a point in time and/or space; this definition differs from the term's usage in statistics, which refers to a set of such values. A sampler is a subsystem or operation that extracts samples from a continuous signal. A theoretical ideal sampler produces samples equivalent to the instantaneous value of the continuous signal at the desired points. The original signal can be reconstructed from a sequence of samples, up to the Nyquist limit, by passing the sequence of samples through a reconstruction filter. Theory Functions of space, time, or any other dimension can be sampled, and similarly in two or more dimensions. For functions that vary with time, let s(t) be a continuous function (or "signal") to be sampled, and let sampling be performed by measuring ...
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