28 results for “Signal-To-Noise Ratio (SNR)”

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Research ArticleOpen accessIn the abstractComparative Evaluation of Adaptive Filter and Neuro-Fuzzy Filter in Artifacts Removal From Electroencephalogram SignalPaulchamy Balaiah, IlavennilaProblem statement: This study presents an effective method for removing mixed artifacts (EOG-Electro-ocular gram, ECG-Electrocardiogram, EMG-Electromyogram) from the EEG-Electroencephalogram records. The noise sources increases the difficulty in analyzing the EEG and obtaining clinical information. EEG signals are multidimensional, non-stationary (i.e., statistical properties are not invariant in time), time domain biological signals, which are not reproducible. It is supposed to contain … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 15 Aug 2012 · 7,090 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAdaptive Channel Equalization Using Multiplicative Neural Network for Rayleigh Faded ChannelP. Sivakumar, N. Chithra, S. N. Sivanandam, M. RajaramProblem statement: Digital transmission over band-limited communication channel largely suffers from ISIS and various noise sources. The presence of ISI and noise causes bit errors in the received signal. Equalization is necessary at the receiver to overcome these channel impairment to recover the original transmitted sequence. Traditionally equalization is considered as equivalent to inverse filtering and implemented using linear-perform under … …Journal of Computer Science, Vol. 7, Issue 11 · 18 Aug 2011 · 6,938 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPattern Based Communication System and Its Performance Characteristics Compared to the Matched FilteringOzgur Orcay, Berk UstundagProblem Statement: Pattern Based Communication System (PBCS) aims to handle two prominent restrictions in communication lines. These are the inefficient utilization of the bandwidth under the spectrum limitations and sensitivity of the data transmission rate to the variation of Signal to Noise Ratio (SNR). Approach: The key point of PBCS is to construct the optimal communication signals, which consist of … …Journal of Computer Science, Vol. 7, Issue 1 · 16 Dec 2010 · 7,290 accessesView PDF Cite

Research ArticleOpen accessIn the abstractVLSI Implementation of Novel Class of High Speed Pipelined Digital Signal Processing Filter for Wireless ReceiversRozita Teymourzadeh, Yazan Samir Algnabi, Masuri Othman et al.Problem statement: The need for high performance transceiver with high Signal to Noise Ratio (SNR) has driven the communication system to utilize latest technique identified as over sampling systems. It was the most economical modulator and decimation in communication system. It has been proven to increase the SNR and is used in many high performance systems such as in the … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 4 · 5 Nov 2010 · 7,820 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSolving the Near-Far Problem in Dynamic Frequency Hopping-Optical Code Division Multiple Access using Power ControlW. J.M. Al-galbi, M. Mokhtar, A. F. Abas et al.Problem statement: In this study, a distributed power control algorithm is proposed for Dynamic Frequency Hopping Optical-CDMA (DFH-OCDMA) system. Approach: In general, the DFH-OCDMA can support higher number of simultaneous users compared to other OCDMA techniques. However, the performance of such system degrades significantly as the received power does lower than its minimum threshold. Results: This may obviously occur in … …Journal of Computer Science, Vol. 5, Issue 6 · 30 Jun 2009 · 7,522 accessesView PDF Cite

Research ArticleOpen accessIn the abstractQuality Evaluation Techniques of Processing the ECG SignalMikhled Alfaouri, Khaled DaqrouqIn this research, methods to detect and evaluate the main parameters of the ECG signal are presented in order to improve its clinical properties. Two techniques are addressed in this research, Piecewise method and the Analytical Approach. These techniques are used to determine such as: percent (rms) difference (PRD), signal-noise-ratio (SNR) and the compression ratio (CR) which are used to … …American Journal of Applied Sciences, Vol. 5, Issue 12 · 31 Dec 2008 · 6,658 accessesView PDF Cite

Research ArticleOpen accessIn the abstractOn the Probability Density Function of the Test Statistic for One Nonlinear GLR Detector Arising from fMRIFangyuan NanRecently an important and interesting nonlinear generalized likelihood ratio (GLR) detector emerged in functional magnetic resonance imaging (fMRI) data processing. However, the study of that detector is incomplete: the probability density function (pdf) of the test statistic was draw from numerical simulations without much theoretical support and is therefore, not firmly grounded. This correspondence presents more accurate (asymptotic) closed form … …Journal of Mathematics and Statistics, Vol. 3, Issue 2 · 30 Jun 2007 · 7,108 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordConfidence Intervals for Signal to Noise Ratio of a Poisson DistributionFlorence George, B.M. Golam KibriaThe Poisson distribution is one of the most useful probability distributions to fit rare event data. Confidence interval for the SNR is an important issue among the researchers in image processing. This study considers several confidence intervals for the SNR of a Poisson distribution. Different confidence intervals available in literature are reviewed and compared based on the coverage probability and … …Current Research in Biostatistics, Vol. 2, Issue 2 · 19 Sep 2012 · 13,914 accessesView PDF Cite