data1.docx - Data acquisition is a process through which physical world conditions and phenomena such as sound and pressure are measured Data from the

data1.docx - Data acquisition is a process through which...

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Data acquisition is a process through which physical world conditions and phenomena such as sound and pressure are measured. Data from the world and its surrounding environment is, in turn, digitized in order for it to be analyzed, displayed and finally stored in a computer in a digitized form. This is made possible through the application of various sensors which analyzes the environments analog signals and then digitizes the signals by the use of an analog-to-digital converter. The digitized data can, therefore, be manipulated by a computer thus allowing for its analysis. Data acquisition is made by the use of a data acquisition system which comprises of instruments and tools. It is the data acquisition system that combines the environmental signals and later converting it into machine readable signals. The data acquisition system comprises of the three major components which are necessary for data acquisition. The method comprises of sensors whose primary function is to capture the environmental signals like light or temperature. The system also has a signal condition which converts the sensor outputs into machine readable signals. The system has an analog input board which converts the conditioning signals into digitized data. The analog input board in its conversion always incorporated certain factors which act as its capabilities. They include the high-speed transfer of data into the computer, the filtering of noise and anti-aliasing and finally amplification. When selecting the analog input board, one of the most crucial factor to be considered is the sampling rate. The sampling rate is the measure of how fast or rapid the analog input board can scan over the input channel and come up with the digitized value of the signal. This is with respect to the signal reference provided in the scale range. The sampling rate basically deals with speed. Oversampling always produces an exact picture of the event under study or inspection. However, too much oversampling results in the creation of large data files. In oversampling, there is no loss of information. If the sampling rate is too slow, a waveform of a lower frequency rate is created. This waveform of a lower frequency is mainly created from the data in place. This mainly being as a result of undersampling. in low sampling rate, information is lost; thus the original signal will not be displayed correctly.
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  • Fall '08
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