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In this research paper, we have introduced a family of adaptive filtering algorithms for noise abrogation in communication systems. There are various algorithms to find the optimal value in a digital transmission system. But among them, the evolutionary variable step size of Least Mean Square algorithm (EVSSLMS) is inspired by the “competitive methods” from the online learning literature. The predicated...
Recording the electrical current of the cortex is called electroencephalography (EEG). EEG signals can be affected by high and low frequency noises which are caused due to muscular activity (EMG), Power line interference, eye blinks and etc. In this paper, we introduce an adaptive wavelet method for elimination of high frequency noises from EEG. The desired noise is extracted from the raw signal by...
Electrocardiogram (ECG) can help to diagnose range of diseases including heart arrhythmias, heart enlargement, heart inflammation (pericarditis or myocarditis) and coronary heart disease. ECG consists of noise which is non stationary that affects the reliability of ECG waveform. In this paper an adaptive filter for denoising ECG signal based on Least Mean Squares (LMS), Normalized Least Mean Square...
In this paper, an extraction for brain-controlled wheelchair by applying nonlinear adaptive filter on EEG-SSVEP is proposed. A four-choice signal paradigm with differents frequencies (i.e., from 6 to 9 Hz for left, right, bottom, and top, respectively) is used to stimulate the four subjects (about 25±1 years old) in the experiment. The experimental results show that the application of the extraction...
To print ceaseless tone images, Electrophotographic printers mostly use halftoning method. Scanned pictures procured from such hard transcripts are generally wrecked by screen like antiquities. Recently an approach for reviving relentless image from scanned halftone picture was accomplished. This new model considers both printing deformities and halftone motifs. At first denoising computation is proposed...
The normalized least mean pth power (NLMP) algorithm based on adaptive Volterra filters has conflicting requirement of fast convergence rate and low steady-state error. To address this problem, a novel combination of two NLMP (CNLMP) algorithms is proposed which adaptively combines two independent NLMP filters with large and small step sizes to obtain fast convergence rate and low misadjustment in...
In modern data communication network sending digital signal is a major issue. The signal sent from Wearable System for long-term Electrocardiogram (ECG) Monitoring, may not be received properly by the receiver because of noise corruption. This systems which mainly consist of a wearable acquisition device, a mobile gadget, and a healthcare server, are the proposed architectures in most cases. The generated...
The recently proposed joint-optimized normalized least-mean-square (JO-NLMS) algorithm was developed in the context of a state variable model. Moreover, following the minimization of the system misalignment and using an iterative procedure for adjusting the system model parameter, this algorithm is able to achieve a proper compromise between the performance criteria (i.e., fast convergence/tracking...
Active noise control (ANC) for in-ear headphones is challenging due to physical tiny volume constraint. According to the best of our survey, most of the previous papers provide only simulation results rather than physically measuring results. In this paper, the detailed experience on implementation and evaluation for ANC in-ear headphone design has been presented. Measurement results show that the...
Active Noise Canceller has become very common in modern day to day electronic equipment. The adaptive filters installed inside this canceller play a crucial role in noise cancellation. The computational complexity as well as the structural complexity of the filter is an important factor to be considered for the overall performance. This depends on the structure of the filter. The structure depends...
Fetal electrocardiograms (ECGs) are useful for monitoring fetal health during pregnancy. Previously published results demonstrated that a sequential combination of adaptive linear prediction (LPC), adaptive noise cancellation (ANC), and IIR comb filtering (CF) is an effective strategy to remove maternal interference from fetal ECGs. This paper presents a theory of how LPC-ANC sequential processing...
Earth has plethora of geographical features, each having different surface properties. These different properties are reflected in the images captured in various frequencies by several satellites. Synthetic Aperture Radar captures such an image into microwave frequency. Such an image is inherited by speckle noise. This paper evaluates performance of traditional filters to remove speckle noise as a...
Acoustic noise is present everywhere and often affects our lives, but it is more troublesome to the patients. When the patient in serious condition is being taken to the hospital in an ambulance, he has to cope with continuous noise of siren. The patient feels annoyed and this can further deteriorate his health condition. Active noise control (ANC) system is employed to conquer the unwanted noise...
Electroencephalograph (EEG) is a highly sensitive device and likely to be contaminated by undesirable non-cerebral potential called artifacts. Artifacts in EEG recordings is the major cause of reduced signal quality and can be caused by various factors such as blinks and eye movement, head movement, heartbeat and so on. The presence of the artifacts, which overlap with signal obtained from the brain,...
Destructive interference is the principle on which ANC (active noise control) system is based. In destructive interference an anti-noise signal is generated using adaptive filter and is superimposed upon noise signal, as a result the unwanted noise is reduced. The secondary path of ANC is assessed off-line prior to use of ANC system when no reference noise exists. But, in practical applications, reference...
This paper proposes Variable Step-Size Least Mean Modulus Algorithm (VSS-LMMA) for robust filtering in impulsive noise environments. The VSS-LMMA for use in adaptive filters in digital QAM systems is basically the LMMA combined with a new simple variable step-size control algorithm to improve the convergence speed of the LMMA while preserving its robustness against additive impulsive observation noise...
In this paper, we propose an adaptive scheme to design directional second order derivatives orthogonally and tangentially to the local edge. The principle lies on the definition of two adaptive filter masks which estimate the two derivatives along the normal (n) and tangential (t) directions. Both filter masks are controlled by an adaptive mask whose coefficients are tuned in accordance with the local...
Most recognition methods, which have shown to be highly efficient under noise-free conditions fail dramatically with S/N ratios around or below 10 dB. One of the consequences of these high noise levels is that most Begin-End Point Detectors fail to separate properly the speech segments of the noise ones. Therefore, the speech recognition mechanisms will not have a clear boundary to start the processing...
It is well known that the performance of the Constant Modulus Algorithm (CMA) for interference cancellation is limited by a so-called notch compromise. This paper presents a new recursive structure based on Godard's Criterion for blind interference suppression which overcomes this drawback. This interference-rejection structure is based on the linear prediction of the interference. The effectiveness...
The design of an efficient and robust hands-free system is now required by the growth of mobile radio and teleconference communications. The use of Frequency-Domain Adaptive Filters in the context of acoustic echo cancellation has been extensively studied in the literature. These algorithms are well-suited for long impulse response modeling and for correlated input signals like speech. A global optimisation...
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