We study the transport properties of inertial Brownian particles which move in a symmetric periodic potential and are subjected to both a symmetric, unbiased time-periodic external force and a biased Poissonian white shot noise (of non-zero average F ) which is composed of a random sequence of δ-shaped pulses with random amplitudes. Upon varying the parameters of the white shot noise, one can c...

We study the influence of a fast noise on Landau-Zener transitions. We demonstrate that a fast colored noise much weaker than the conventional white noise can produce transitions itself or can change substantially the Landau-Zener transition probabilities. In the limit of fast colored or strong white noise we derive asymptotically exact formulas for transition probabilities and study the time e...

Visual perception is limited by both the strength of the neural signals, and by the noise in the visual nervous system. Here we use one-dimensional white noise as input, to study the response of amblyopic visual system. We measured the thresholds for detection and discrimination of noise contrast. Using an N-pass reverse correlation technique, we derived classification images and estimated resp...

The original q-Markov Covariance Equivalent Realization (q-Markov Cover) method for identification required white noise test signals, which can not be generated exactly. This paper replaces the unrealizable white noise signal with a realizable signal (the Pseudo Random Binary Signal (PRBS)), and proves that when the period of the PRBS approaches infinity the q-Markov Cover algorithm, operating ...

have a white spectrum. In this paper I show how the residual can be whitened when coherent noise is present in the data. Outliers and noiseburst problems are not addressed here. They can be winnowed out by applying, iteratively, a locally re-weighted regression (Wang, White & Pratt 2000). In the first section I review some basics of inverse theory. Then in the following section I introduce two ...

AbstructWe present several results regarding the properties of a random vector, uniformly distributed over a lattice cell. This random vector is the quantization noise of a lattice quantizer at high resolution, or the noise of a dithered lattice quantizer at all distortion levels. We find that for the optimal lattice quantizers this noise is wide-sense-stationary and white. Any desirable noise ...

W e present several results regarding the propert ies of a random vector, uniformly distributed over a lattice cell. This random vector is the quantization noise of a lattice quantizer at high resolution, or the noise of a dithered lattice quantizer at all distortion levels. W e find that for the optimal lattice quantizers this noise is wide-sense-stat ionary and white. Any desirable noise spec...

In this paper, a novel decision based median (DBM) filter for enhancing MR images has been proposed. The method is based on eliminating impulse noise from MR images. A median-based method to remove impulse noise from digital MR images has been developed. Each pixel is leveled from black to white like gray-level. The method is adjusted in order to decide whether the median operation can be appli...