Nyquist theorem - An expression for the mean square thermal noise voltage across a resistor, given by RkTAf where R is the resistance, k the Boltzmann constant, T the temperature, and /y the frequency band within which the voltage is measured. [Pg.111]

Nyquist criterion Nyquist theorem Nystan Nystarescent Nystatin [Pg.693]

It is only a small step from here to the equivalent statement, known as the Nyquist theorem, for current noise of thermal fluctuations in a circuit with resistance R.4 [Pg.249]

Dwell time (DW) and spectral width (SW). The signal must be sampled at a rate at least twice the highest frequency (Nyquist theorem), such that DW s=l/(2SW). Thus, for SW = 5 kHz, a minimum DW is 100/rs. [Pg.255]

So, one important lesson is that the receiver circuit must be sampled often enough to make the pattern recognizable. The Nyquist theorem tells us that in order for a computer to determine the frequency (Av,) of each component of the wave function by this method, it must acquire at least two points [Pg.34]

The noise thermometer is based on the temperature dependence of the mean square noise voltage V2 developed in a thermistor (Nyquist theorem, 1928) [Pg.226]

Note that this has nothing to do with the Fourier transform per se, but everything with the more general problem of representing continuous functions by discrete samples of such functions. The Nyquist theorem specifies that the underlying, continuous, repetitive function cannot be defined properly unless one samples it more than twice per its repeat period. [Pg.291]

The width of the time ehannels of the recorded photon distribution ean be made as small as 1 ps. The small time-bin width in conjunction with the high number of time ehannels available makes it possible to sample the signal shape adequately aeeording to the Nyquist theorem. Therefore standard deconvolution techniques [389] ean be used to determine fluorescence lifetimes much shorter than the IRF width and to resolve the eomponents of multiexponential decay functions. [Pg.23]

Normally a FID is acquired using simultaneous quadrature detection, sequential quadrature detection is explained in section 2.3.1. The FID consists of the values of the X- and y-components of the magnetization measured at discrete intervals during the acquisition period T q. The time interval between two successive pairs of data points is called the dwell time For a given (chosen) spectral width SW [Hz], a total number of data points TD and acquisition time T q, the following relation is valid (Nyquist theorem) [Pg.65]

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