نتایج جستجو برای: signal to noise ratio

تعداد نتایج: 10744963  

2013
Ismail Mohamed Hafez

One of the most promising techniques for increasing capacity in CDMA system is through the use of antenna array. There are a lot of different ways to calculate capacity of CDMA system. Some of them are quite simple and has an explicit form. The paper introduces to the capacity and coverage in asynchronous Code Division Multiple Access CDMA 2000 based system. Different channel scenario is applie...

Journal: :Journal of neuroscience methods 2014
Alicia Gonzalez-Moreno Sara Aurtenetxe Maria-Eugenia Lopez-Garcia Francisco del Pozo Fernando Maestu Angel Nevado

BACKGROUND Magnetoencephalography (MEG) provides a direct measure of brain activity with high combined spatiotemporal resolution. Preprocessing is necessary to reduce contributions from environmental interference and biological noise. NEW METHOD The effect on the signal-to-noise ratio of different preprocessing techniques is evaluated. The signal-to-noise ratio (SNR) was defined as the ratio ...

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...

2014

Background: Magnetoencephalography (MEG) provides a direct measure of brain activity with high combined spatiotemporal resolution. Preprocessing is necessary to reduce contributions from environmental interference and biological noise. New method: The effect on the signal-to-noise ratio of different preprocessing techniques is evaluated. The signal-to-noise ratio (SNR) was defined as the ratio ...

Traditional noise removal methods like Non-Local Means create spurious boundaries inside regular zones. Visushrink removes too many coefficients and yields recovered images that are overly smoothed. In Bayesshrink method, sharp features are preserved. However, PSNR (Peak Signal-to-Noise Ratio) is considerably low. BLS-GSM generates some discontinuous information during the course of denoising a...

Journal: :international journal of industrial mathematics 0
a. y. hassan faculty of engineering, benha university, benha, egypt. s. m. shaaban faculty of engineering, meno a university, shebin elkom, egypt.

in wireless channel the noise has a zero mean. this channel property can be used in the enhancement of the noise performance in the digital receivers by oversampling the received signal and calculating the decision variable based on the time average of more than one sample of the received signal. the averaging process will reduce the effect of the noise in the decision variable that will approa...

Journal: :journal of biomedical physics and engineering 0
s. abbaspour a. fallah

background: the electrocardiogram artifact is a major contamination in the electromyogram signals when electromyogram signal is recorded from upper trunk muscles and because of that the contaminated electromyogram is not useful. objective: removing electrocardiogram contamination from electromyogram signals. methods: in this paper, the clean electromyogram signal, electrocardiogram artifact and...

2017
Bin Wang Yingjie Xie Shihua Zhou Changjun Zhou Xuedong Zheng

Biocomputing, especially DNA, computing has got great development. It is widely used in information security. In this paper, a novel algorithm of reversible data hiding based on DNA computing is proposed. Inspired by the algorithm of histogram modification, which is a classical algorithm for reversible data hiding, we combine it with DNA computing to realize this algorithm based on biological t...

Journal: :IEEE transactions on image processing : a publication of the IEEE Signal Processing Society 1994
Faouzi Kossentini Wilson C. Chung Mark J. T. Smith

An entropy-constrained residual vector quantization design algorithm is used to design codebooks for image coding. Entropy-constrained residual vector quantization has several important advantages. It can outperform entropy-constrained vector quantization in terms of rate-distortion performance, memory, and computation requirements. It can also be used to design vector quantizers with relativel...

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