stochastic process

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sto·chas·tic pro·cess

a process that incorporates some element of randomness.
[G. stochastikos, pertaining to guessing, fr. stochazomai, to guess]
Farlex Partner Medical Dictionary © Farlex 2012
References in periodicals archive ?
Zhu, "Non-reconstruction compressive detection of random signal using maximum likelihood criterion and its analysis," Journal of Signal Processing, vol.
In watermarking, the normalized correlation is calculated between the host signal and random signal. The random signals are made by a PRNG seeded with the secret key, and also used for the generation of host signals and watermarked signals.
TABLE 1: SNR and times (sec) of recovery of the original 1D random signal. Algorithm Original 1D random signal SNR Time Gaussian 7.0210e - 014 0.0411 Partial Fourier 0.5000 0.0342 Hadamard 0.9853 0.0402 Circulant 1.0770 0.0406 Toeplitz 1.1556 0.0256 ITMM 1.2785 0.0232 TABLE 2: MSE and times (sec) of different matrices of recovery of the original 2D tests images.
Since it is usually difficult to generate ultra-wide-band random signals in one pulse, so is it to obtain high range resolution.
A response of the real device on the input random signal was used as a reference output signal for the neural network learning.
Parity bits are generated for the quantized random signal X and are transmitted to the decoder side.
The historical background, the development, and extensive reference list are given concerning truncation error upper bounds for deterministic and random signal functions.
The wavelet is convolved with a Green function consisting of an arbitrary number of Delta functions defined by their amplitude, polarity and time delay, and noise generated as optional running average of a high-frequency random signal can be superimposed to the resulting convolutory signal.
Voltage signal recombination is impossible because the noise is a random signal. The IQ power recombination of the noise and the power gain is 1/2.
Since the signal is pseudorandom, it has the statistical characteristics of a random signal, but it can be recreated.
The analysis method uses the parametric models to analyze and deal with the observed sequential random signal series.