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A digital signal processor-based instrument for power measurement on digital telecommunication signals is dealt with. It enlists a special hardware architecture, made up of a core digital signal processor connected to a data acquisition board, and takes advantage of a measurement approach based on cyclic spectral analysis, already proposed by the authors. Thanks to an efficient measurement process...
Noise signals are often encountered in several science and engineering fields. They can be originated by a lot of different mechanisms, some of which are still not sufficiently understood. Since reliability and performance of many systems depend on their noise sensitivity and noise rejection capability, suitable noise sources are required to lead appropriate tests to investigate the behavior of the...
Digital signal processing algorithms are nowadays playing an increasingly more important role in most measurement processes. Furthermore, in the presence of poorly digitized data, reliable and repeatable measurement results can often be assured by complementing the adopted procedure with a suitable processing stage. The realization of a ldquocollectionrdquo of measurement algorithms to be shared among...
According to the last revision of international recommendations, numerical methods are nowadays claimed/or the estimation of measurement uncertainty in indirect measurements. The paper, in particular, proposes the use of numeric integration of measurement models as a fast and reliable method for uncertainty estimation. Starting from the knowledge of the probability density functions of the input quantities,...
Impairments affecting the baseband modulator of digital transmitters, commonly named I/Q impairments, are responsible for deviations of symbols on the I/Q plane from their original position. They consequently cause a reduction of noise margin and can ultimately increase the probability of error. This is the reason why their evaluation is so important in troubleshooting and testing activities. The...
Measurement of phase noise affecting oscillators or clocks is a fundamental practice whenever the need of a reliable time-base is of primary concern. In spite of the number of methods or techniques either available in literature or implemented as personalities in general purpose equipment, very accurate measurement results can be gained only from expensive, dedicated instruments. To offer a cost-effective...
Digital signal processing algorithms are nowadays playing a more and more important role in most measurement processes. Also in the presence of poor digitized data, reliable and repeatable results can often be assured by complementing the adopted measurement procedure with a suitable processing stage. The realization of a "collection" of measurement algorithms to be shared among researchers...
A digital signal-processing meter for phase noise measurement on sinusoidal signals is dealt with. It enlists special hardware architecture, made up of a core digital signal processor connected to a data acquisition board, and takes advantage of a quadrature demodulation-based measurement scheme, already proposed by the authors. Thanks to an efficient measurement process and an optimised implementation...
The paper describes the hardware architecture and software strategies of two prototypes of ultrasonic-based distance meter. Prototypes are based on a digital signal controller (DSC), mandated to supervise its whole functioning. Besides driving the piezoelectric transducer, the DSC manages the digitization of received ultrasonic signal, processes acquired samples according to two different measurement...
An original approach for uncertainty evaluation in indirect measurements is presented here in after. The approach applies the unscented transform to the measurement model (i.e. the functional relationship between the output and input quantities) in order to estimate the output expectation along with the associated standard uncertainty. Thanks to some nice properties of the unscented transform, notable...
The paper deals with uncertainty estimation in indirect measurements. The attention is mainly paid to measurement models whose input quantities are modeled as correlated random variates. Starting from a past experience concerning the use of the unscented transform to overcome known limitations of current recommendations in indirect measurement involving uncorrelated input quantities, the authors are...
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