This paper presents an interleaved boost converter with integrated magnetics for common-mode (CM) noise reduction without introducing electromagnetic interference (EMI) filters. The is realized using the balanced technique, which effective CM technique from a circuit topology perspective. application of this addresses issue noise, while avoiding increase in volume due to EMI Additionally, and c...

original article   introduction: a practical solution which is sometimes efficient for noise control in the receiver locations is to enclose workers in an acoustic cabin. accordingly, prediction of the noise insulation performance is regarded as an important aspect of the design a personnel cabin. this study empirically aims to design an acoustic cabin using sandwich panels in a typical metal i...

Optical frequency combs generated by femtosecond fiber lasers typically exhibit significant frequency noise that causes broad optical linewidths, particularly in the comb wings and in the carrier-envelope offset frequency (f(ceo)) signal. We show these broad linewidths are mainly a result of white amplitude noise on the pump diode laser that leads to a breathing-like motion of the comb about a ...

This paper addresses the problems of blind channel identification and multichannel equalization for speech dereverberation and noise reduction. The time-domain cross-relation method is not suitable for blind room impulse response identification, due to the near-common zeros of the long impulse responses. We extend the cross-relation method to the short-time Fourier transform (STFT) domain, in w...

b Abstract-This paper presents a new approach for restoring noisy images with a substantial number of missing samples. The system proposed is based on the linear prediction theory. The filters used are multiplierless since they have power-of-2 coefficients. This makes the algorithms fast and low cost for VLSI implementation. The system is composed of two stages. In the first one, the lost sampl...

Convolutional Neural Network (CNN) recognition rates drop in the presence of noise. We demonstrate a novel method of counteracting this drop in recognition rate by adjusting the biases of the neurons in the convolutional layers according to the noise conditions encountered at runtime. We compare our technique to training one network for all possible noise levels, dehazing via preprocessing a si...

Introduction: An efficient method of tomographic imaging in nuclear medicine is positron emission tomography (PET). Compared to SPECT, PET has the advantages of higher levels of sensitivity, spatial resolution and more accurate quantification. However, high noise levels in the image limit its diagnostic utility. Noise removal in nuclear medicine is traditionally based on Fourier decomposition o...

Phase-shifting interferometry with a genetic algorithm is proposed. The correction of unknown phase-shifting error is an important task in general phase-shifting interferometry. Since phase-shifting errors generate twin image noise in a reconstructed image, we can reduce the phase-shifting errors indirectly by trying to eliminate the twin-image noise in the reconstructed image. By Zernike polyn...