A technique for exploiting deterministic chaos through Logistic Map (with DC component) and a Cubic Map (with no DC component) in a new digital communication has been proposed and demonstrated in presence of additive white Gaussian noise (AWGN) by Monte Carlo simulations. Biterror (BER) graphs were computed in order to compare the performance of the different modulation schemes. The best perfor...

Automated fringe-pattern processing is important in a great number of industrial applications, such as optical data testing and quality control. One of the main problems that arises with these processes is the automated phase unwrapping of the phase map associated with the fringe pattern. Usually the phase map presents problems such as noise, and low-modulation areas. A new phase-unwrapping alg...

The lensing of CMB photons by intervening large-scale structure leaves a characteristic imprint on its arcminute-scale anisotropy that can be used to map the dark matter distribution in projection on degree scales or ∼ 100h Mpc comoving. We introduce a new algorithm for mass reconstruction which optimally utilizes information from the weak lensing of CMB anisotropies in the damping tail. Indivi...

The Kalman filter computes the maximum a posteriori (MAP) estimate of the states for linear state space models with Gaussian noise. We interpret the Kalman filter as the solution to a convex optimization problem, and show that we can generalize the MAP state estimator to any noise with log-concave density function and any combination of linear equality and convex inequality constraints on the s...

INTRODUCTION MRI magnitude images are often corrupted by Rician distributed noise and a contrast-reducing signal-dependent bias [1]. Reduction of Rician noise is desirable, especially in low signal-to-noise ratio (SNR) images such as those found in diffusion tensor imaging (DTI). Many methods have been proposed to reduce noise in diffusion weighted imaging (DWI), including maximum likelihood es...

The purpose of this work is to detect and assess the significance of subtle signal changes in mixed-signal lesions based on serial MRI scan matching. Pairs of serially acquired T1-weighted volume MR images from 20 normal controls and seven patients with epilepsy were matched and difference images obtained. The precision and consistency of the registration were evaluated. The Gaussian noise leve...

We present a new method to extract the beam shape incorporated in the pixelized map of CMB experiments. This method is based on the interplay of the amplitudes and phases of the signal and instrumental noise. By adding controlled white noise onto the map, the phases are perturbed in such a way that the beam shape manifests itself through the mean-squared value of the difference between original...

The Kalman filter computes the maximum a posteriori (MAP) estimate of the states for linear state space models with Gaussian noise. We interpret the Kalman filter as the solution to a convex optimization problem, and show that we can generalize the MAP state estimator to any noise with log-concave density function and any combination of linear equality and convex inequality constraints on the s...

Dialectometry produces aggregate distance matrices in which a distance is specified for each pair of sites. By projecting groups obtained by clustering onto geography one compares results with traditional dialectology, which produced maps partitioned into implicitly non-overlapping dialect areas. The importance of dialect areas has been challenged by proponents of continua, but they too need to...