introduction: one of the major problems in the development of nuclear medicine images is the presence of noise. the noise level in nuclear medicine images is usually reduced by the analysis of imaging data in a fourier transform environment. the main drawback of this environment belongs to low signal to noise ratio in high frequencies because removing noise frequencies may remove data and times...

polyphase is a common class of pulse compression waveforms in the radar systems. oppermann code is one of the used codes with polyphone pattern. after compression, this code has little tolerant against doppler shift in addition to its high side lobe level. this indicates that the use of oppermann code is an unsuitable scheme to radars applications. this paper shows that the use of amplitude wei...

For the image quality analysis of photogrammetrical systems using the Modulation Transfer Function (MTF), the edge gradient analysis (EGA), using a Hanning function, and the grating pattern method are compared. Artificial edge and grating patterns were photographed from an airplane and were analyzed to determine the quality of the photogrammetric system. The pictures were scanned with a microde...

The most important concern in the medical field is to consider analysis of data and perform accurate diagnosis. However, pulmonary abnormalities may depend on diagnostic experience skills physicians, a time-consuming practice. In order solve such issues, an efficient Water Cycle Swarm Optimizer-based Hierarchical Attention Network (WCSO-based HAN) developed for detecting from respiratory sound ...

This study presents a novel and highly accurate method of measuring the geometric thickness self-lubricating fabric liner bearings by combining optical coherence tomography (OCT) technology Hanning-windowed energy centrobaric (HnWECM). The wear-resistant coating material is one important indicators for evaluating its wear, measurement great significance preventing failure. To address issue sign...

Cohen's class time-frequency distributions (CTFDs) have significant potential for the analysis of non-stationary signals, even if the poor readability of their representations makes visual interpretations difficult. To concentrate signal components, Auger and Flandrin recently generalized the reassignment method (first applied to the spectrogram in the 1970s) to any bilinear representations. Un...

Nowadays, deep learning-based models have been widely developed for atrial fibrillation (AF) detection in electrocardiogram (ECG) signals. However, owing to the inevitable over-fitting problem, classification accuracy of severely differed when applying on independent test datasets. This situation is more significant AF from dynamic ECGs. In this study, we explored two potential training strateg...

Wireless communications became an integrated part of the human life. Fifth generation (5G) is modern communication which provides enhanced mobile broadband (eMBB), ultra reliable low latency (URLLC), and massive machine type (mMTC). Thus, 5G have to provide coverage multi-numerology devices, therefore, modulation access schemes are suggested in literature such as cyclic prefix orthogonal freque...

UAV localization in denial environments is a hot research topic the field of cross-view geo-localization. The previous methods tried to find corresponding position directly satellite image through image, but they lacked consideration spatial information and multi-scale information. Based on method finding points with an we propose novel architecture—a Weight-Adaptive Multi-Feature fusion networ...

BACKGROUND Impairments in mismatch negativity (MMN) generation have been consistently reported in patients with schizophrenia. However, underlying oscillatory activity of MMN deficits in schizophrenia and the relationship with cognitive impairments have not been investigated in detail. Time-frequency power and phase analyses can provide more detailed measures of brain dynamics of MMN deficits i...