Figure-ground (FG) segmentation is the separation of visual information into background and foreground objects. In the visual cortex, FG responses are observed in the late stimulus response period, when neurons fire in tonic mode, and are accompanied by a switch in cortical state. When such a switch does not occur, FG segmentation fails. Currently, it is not known what happens in the brain on s...

The advancement of non-linear processing methods for generic automatic clarification of turbid imagery has led us from extensions of entirely passive multiscale Retinex processing to a new framework of active measurement and control of the enhancement process called the Visual Servo. In the process of testing this new non-linear computational scheme, we have identified that feature visibility l...

Raman amplifiers are widely used for high capacity long haul communication systems. One of the main reason for which it can be used is its improved noise figure. In this paper noise figure of Raman amplifiers is studied and analysed for different pumping schemes. The main sources of noise and their effects on the noise figure are discussed and the methods to reduce the noise figure are proposed.

Figure 1.1. For 50 values of β, we simulated a 1/f process 1000 times and calculated the average lag-1 autocorrelation for each β. We then found the value of τ that would produce the same lag-1 autocorrelation in an O-U process (see autocorrelation function in main text) for two different values of σ (‘•’ use σ = 0.5 and ‘x’ use σ = 0.7). We emphasize that an O-U process with a given τ and a 1/...

A noise reduction input matching technique for broadband low noise amplifiers (LNAs) is presented. The proposed LNA employs a positive active feedback network besides of the conventional common-gate (CG) amplifier to achieve both wideband input signal matching and low noise figure (NF), simultaneously. Compared to the conventional broadband noise cancellation techniques, the presented approach ...