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In electronics and signal processing, signal conditioning is the manipulation of an analog signal in such a way that it meets the requirements of the next stage for further processing. In an analog-to-digital converter (ADC) application, signal conditioning includes voltage or current limiting and anti-aliasing filtering .
Signal conditioning may be necessary if the signal from the transducer is not suitable for the DAQ hardware being used. The signal may need to be filtered, shaped, or amplified in most cases. Various other examples of signal conditioning might be bridge completion, providing current or voltage excitation to the sensor, isolation, and linearization.
Total harmonic distortion (THD) is the sum of the powers of all the harmonics of the input signal [8] If the maximum DNL is less than 1 LSB, then the D/A converter is guaranteed to be monotonic. However, many monotonic converters may have a maximum DNL greater than 1 LSB. [8] Time domain performance: Glitch impulse area (glitch energy) [8]
Quizlet is a multi-national American company that provides tools for studying and learning. [1] Quizlet was founded in October 2005 by Andrew Sutherland, who at the time was a 15-year old student, [ 2 ] and released to the public in January 2007. [ 3 ]
Digital signal conditioning in process control means finding a way to represent analog process information in digital format. [2] Use of in control system is particularly valuable number of other reasons, however: A computer can control multivibrator process-control system. Nonlinearities in sensor output can be linearized by the computer.
Most frequency counters work by using a counter, which accumulates the number of events occurring within a specific period of time.After a preset period known as the gate time (1 second, for example), the value in the counter is transferred to a display, and the counter is reset to zero.
The Nyquist–Shannon sampling theorem is an essential principle for digital signal processing linking the frequency range of a signal and the sample rate required to avoid a type of distortion called aliasing. The theorem states that the sample rate must be at least twice the bandwidth of the signal to avoid aliasing.
Analog signal processing is a type of signal processing conducted on continuous analog signals by some analog means (as opposed to the discrete digital signal processing where the signal processing is carried out by a digital process). "Analog" indicates something that is mathematically represented as a set of continuous values.