Sentence examples for noise characterize from inspiring English sources

The Niobrara Landsat 7 imagery was found to have lower CV values than Landsat 5 data, implying that lower levels of noise characterize Landsat 7 data than current Landsat 5 data.

In addition, stable cavitation events are differentiated from the broadband noise characterizing inertial cavitation activity, with perspectives in the discrimination of the involved mechanisms underlying bubble-mediated therapeutic applications.

A common assumption in the theoretical background of Operational Modal Analysis (OMA) methods concerns the input, which is not measured and consists of a Gaussian white noise characterized by a flat spectrum in the bandwidth of interest.

Behavioral models of building blocks include the main ideal functionality as well as the following non-idealities: thermal noise, characterized by the noise figure and the signal-to-noise ratio, and non-linearity, represented by the input-referred second-order and third-order intercept points, IIP2 and IIP3, respectively.

Error correcting performance of the new cascaded code is studied under impulsive noise characterized by a Middleton Class-A model.

The actual SR channel is modeled as a flat Rayleigh fading channel with additive white Gaussian noise, characterized by the channel coefficient h 1.

Although the spectral subtraction method provides a trade-off between speech distortion and residual noise to some extent, its major drawback is the perceptually annoying musical nature of the residual noise characterized by tones at different frequencies that randomly appear and disappear.

Under the assumptions A.1 to A.4, assuming known parameters R, C and unknown parameters μ s, ϕ s, and s, the GLRT-based receiver for the detection of the known real symbols a n (0 ≤ n ≤ K - 1) in the SO noncircular total noise characterized by R and C, is given by (9) where p [ b ̃ T v ( n T ) ] is defined by (10).

The parameters L i and l ij are known from the geometry of the links as shown in Fig. 4. It is assumed that the M measurements are collected in every 15-min interval which are corrupted by additive white Gaussian noise characterized by ({mathbf {e}}_{t}sim {mathcal {N}}({mathbf {0}}_{M},{sigma _{e}^{2}}{mathbf {I}}_{M})).

Under the assumptions A.1 and A.2, assuming known parameters R, C and s and unknown parameters μ s and ϕ s, the GLRT-based receiver for the detection of the known real-valued symbols a n (0 ≤ n ≤ K - 1) in the SO noncircular total noise characterized by R and C is given by (9) where p [ b ̃ T v ( n T ) ] is defined by (10) and where μ s e j ϕ s have to be replaced in (9) by its ML estimate.

The transition probability between the Nanog-low and Nanog-high state depends on the parameter choice with respect to the transcriptional activity (e.g. on the transcription rate s4) as well as on the degree of the transcriptional noise (characterized by the variance σ2).