نتایج جستجو برای: signal to noise analysis sn
تعداد نتایج: 11506900 فیلتر نتایج به سال:
Signal denoising can not only enhance the signal to noise ratio (SNR) but also reduce the effect of noise. In order to satisfy the requirements of real-time signal denoising, an improved semisoft shrinkage real-time denoising method based on lifting wavelet transform was proposed. The moving data window technology realizes the real-time wavelet denoising, which employs wavelet transform based o...
We consider the problem of designing optimal linear encoders and decoders for estimation and transmission of a signal over an analog communication channel with additive noise and a signal-to-noise ratio (SNR) constraint. The objective is to minimize the variance of the estimation error at the receiving end, subject to a real-time constraint. It has been previously shown that, for channels witho...
Medical ultrasound imaging due to close behavior of cancer tumors to body tissues has a low contrast. This problem with synthetic aperture imaging method has been addressed. Although the synthetic aperture imaging technique solved the low-contrast problem of ultrasound images, to an acceptable limit, but the performance of these methods is not even acceptable when the signal to noise ratio (SNR...
in this paper, we propose a technique of artificial intelligence called adaptive neuro fuzzy inference system (anfis) for canceling maternal electrocardiogram (mecg) in fetal electrocardiogram extraction (fecg).this technique is used to estimate the mecg present in the abdominal signal of a pregnant woman. the fecg is then extracted by subtracting the estimated mecg from the abdominal signal. p...
The paper presents an adaptive time-frequency denoising algorithm. Other denoising methods use a very general probability-based noise model and as general-purpose algorithms rarely consider the a priori knowledge about the signal. Main novelty of the proposed algorithm is the running quasi-continuous scalo-temporal model of background activity built and subtracted from the ECG in order to yield...
a problem of computer vision applications is to detect regions of interest under dif- ferent imaging conditions. the state-of-the-art maximally stable extremal regions (mser) detects affine covariant regions by applying all possible thresholds on the input image, and through three main steps including: 1) making a component tree of extremal regions’ evolution (enumeration), 2) obtaining region ...
accuracy of inertial navigation system (ins) is limited by inertial sensors imperfections. before using inertial sensors signals in the data fusion algorithm, noise removal method should be performed, in which, wavelet decomposition method is used. in this method the raw data is decomposed into high and low frequency data sets. in this study, wavelet multi-level resolution analysis (wmra) techn...
Cortical signal-in-noise coding varies by noise type, signal-to-noise ratio, age, and hearing status
Stochastic resonance in coupled underdamped bistable systems driven by symmetric trichotomous noises
In this work, we analyze the phenomenon of stochastic resonance (SR) in coupled underdamped bistable systems induced by independent symmetric trichotomous noises. Firstly, the system is found to exhibit intermittent jumping motion between two wells in an optimal range of noise values. Then, the effects of noise on the output power spectrum of the system are characterized. It demonstrates that s...
In this paper, the performance of radio-over-fiber (RoF) links employing intensity modulation has been investigated in terms of signal to noise ratio (SNR). An analytical model including dispersion, laser and radio frequency (RF) oscillator phase noise is constructed to estimate the SNR performance for 64quadrature amplitude modulation (QAM) based RoF systems. It has been observed that the RF o...
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