We suggest an elementary harmonic analysis approach to canceling and weakly differential operators, which allows us extend these notions the anisotropic setting replace operators with Fourier multiplies mild smoothness regularity. In this more general of multipliers, we prove inequality $$\|f\|_{L_\infty} \lesssim \|Af\|_{L_1}$$ if $$A$$ is a operator order $$d$$ $$\|f\|_{L_2} $$d/2$$ , provide...

The application of stationary echo canceling to ultrasonic estimation of blood velocities using time-domain cross-correlation is investigated. Expressions are derived that shows the innuence from the echo canceler on the signals that enter the cross-correlation estimator. It is demonstrated that the ltration results in a velocity dependent degradation of the signal-to-noise ratio. An analytic e...

We study the effects of propagation delays on the stochastic dynamics of bumps in neural fields with multiple layers. In the absence of noise, each layer supports a stationary bump solution that can be centered at any location, due to translation invariance. Using linear stability analysis, we show that delayed coupling between layers causes translating perturbations of the bumps to decay in th...

Copyright q 2011 Rakesh Kumar et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. We study mixed geodesic GCR-lightlike submanifolds of indefinite Sasakian manifolds and obtain some necessary and sufficient conditions for a GCR...

The cycle-canceling algorithm is one of the earliest algorithms to solve the minimum cost flow problem. This algorithm maintains a feasible solution x in the network G and proceeds by augmenting flows along negative cost directed cycles in the residual network G(x) and thereby canceling them. For the minimum cost flow problem with integral data, the generic version of the cycle-canceling algori...

Submodular ow problems, introduced by Edmonds and Giles 2], generalize network ow problems. Many algorithms for solving network ow problems have been generalized to submodular ow problems (cf. references in Fujishige 4]), e.g. the cycle canceling method of Klein 9]. For network ow problems, the choice of minimum-mean cycles in Goldberg and Tarjan 6], and the choice of minimum-ratio cycles in Wa...

The temperature sensitivity of enzymes responsible for organic matter decomposition in soil is crucial for predicting the effects of global warming on the carbon cycle and sequestration. We tested the hypothesis that differences in temperature sensitivity of enzyme kinetic parameters V max and K m will lead to a canceling effect: strong reduction of temperature response of catalytic reactions. ...

Robustness to noise and low-bit rate coding distortion is one of the main problems faced by automatic speech recognition (ASR) and speaker verification (SV) systems in real applications. Usually, ASR and SV models are trained with speech signals recorded in conditions that are different from testing environments. This mismatch between training and testing can lead to unacceptable error rates. N...

In low frequency astronomy « 300 MHz), antennas used to collect radiation from the sky; function like short dipoles (1« )./2) over an appreciable range of wavelengths. Since the short dipoles do not possess appreciable impedance matched bandwidth for 50 [2 systems, coupling of sky radiation to amplifiers connected to the output of antennas will be highly inefficient over a substantial portion o...

Ventilation systems installed in buildings usually generate low-frequency noise because the passive silencers commonly used to attenuate the ventilation noise are not effective in the lowfrequency range. A method proven to effectively reduce low-frequency noise in a wide variety of applications is active noise control (ANC). A feedforward ANC system applied to duct noise normally uses a referen...