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Baseline wander noise removal from Electrocardiogram (ECG) signal is very complex problem. In ECG signal baseline wander noise distorts the low frequency segments. The low frequency segment in ECG is ST segment. Heart attack related information is retrained from ST segment, so it is very necessary to have a noise free ECG signal. This paper presents development and implementation of architecture for...
ECG signal is time varying in nature which is most common source used for the diagnosis and analysis of heart diseases present in the patient. ECG is recorded by placing electrodes at specified positions of human body. During recording, ECG is contaminated with artifacts and noises which always degrade its quality, and makes accurate and automatic interpretation more difficult. Power line interference,...
In this paper, we have analyzed the simulation of various adaptive techniques used in wireless communication as a comprehensive view. For this analysis we have derived the algorithm for least mean square (LMS), recursive least square (RLS) and minimum mean square error (MMSE). These adaptive filtering techniques are the best way to mitigate the effect of interference in a communication system. As...
Noise refers to the random variation of intensity of a pixel, which modifies the actual information of the image. As a result, pixels which appear in the image are not the actual pixels. Addition of extraneous values to the image causes the occurrence of noise. Noise is categorized into impulse (salt-and-pepper) noise, uniform noise, Gaussian noise, exponential noise, Erlang (gamma) noise, photon...
This paper compares the performance analysis of our proposed New Time Varying LMS (NTVLMS) algorithm with other well-known adaptive algorithms such as LMS, NLMS, RVSSLMS, NVSSLMS and TVLMS algorithm. These algorithms have been tested for their adaptive noise cancellation capabilities in the context of stationary signal corrupted by additive white Gaussian noise. The parameters Convergence rate, output...
A multicopter is now becoming a crucial part in the broadcasting industry for capturing videos. When they are not able to reach places, men can control multicopters and take desired videos. However, there still exist many problems in capturing sound because the multicopter is often placed far from the sound source and the sound of the propellers interferes with the recording target sound. Capturing...
This paper presents audio-integrated snore active noise control (ANC) systems based on the portable pillow setup to effectively reduce the annoying snore and mask the residual noise. Computer simulations and real-time experiments show the performance of the ANC systems based on the pillow setup achieved higher noise reduction at the ears of the snorer's bed partner as compared with the headboard setup...
This paper proposes a method to reduce motion noise for a noncontact electrocardiogram (ECG) sensor in a chair. Two electric potential integrated circuit (EPIC) sensors were used for ECG and two pressure sensors were added on the back of the EPIC sensors to make signals approximating movement of a subject. Then, Discrete wavelet transform and adaptive noise cancellation techniques were applied to...
The increasing interest in image fusion (combining images of two or more modalities such as infrared and visible light radiation) has led to a need for accurate and reliable image assessment methods. This paper gives a novel approach of merging the information content from several videos taken from the same scene in order to rack up a combined video that contains the finest information coming from...
This paper first reviews an adaptation algorithm named Recursive Least Moduli (RLM) algorithm for complex-domain adaptive filters. The RLM algorithm achieves significant improvement in the filter convergence speed when the filter input is strongly correlated. Stochastic models are presented for two types of impulse noise found in adaptive filtering systems: one in observation noise and another at...
An improved adaptive median filter is proposed to remove the salt and pepper noise. The algorithm determines a pixel point as signal pixel or possible noise pixel according to the characteristic of the salt and pepper noise, the noise pixel is removed by adaptive median filter, the signal pixel is kept. The results show that the algorithm effectively removes the salt and pepper noise while protecting...
This work establishes the extraction of root-multiple signal classification (root-MUSIC) direction-of-arrival (DoA) estimates of a passive radio frequency identification (RFID) tag system with a reader that utilizes a two-element uniform linear array. The accuracy of the estimates can be improved by using an adaptive filter called least mean squares algorithm (LMS) to reduce the effect of noise and...
In opto-mechatronic systems using electric signals to drive motion control systems integrated with optical components, the driving signal may include the unwanted frequency band, such as resonant frequencies and noise frequencies. It can affect the accuracy and the repeatability of final opto-mechatronic system, and finally results into serious damage to the system due to resonance phenomenon of the...
This paper proposes a memory proportionate affine projection sign algorithm (IAF-MP-APSA) by assigning an individual activation factor to each filter coefficient. In this algorithm, each individual activation factor is calculated by past and current values of the corresponding coefficient magnitude. Moreover, taking into account the memory property of the proportionate factors leads to a decrease...
Mini modern techniques rely on multipllcation as the fundamental operation. Among the different ways of performing multiplication, Montgomery multiplication introduced by Peter Montgomery is the widely used algorithm. Despite improvements in the clock frequency and the level of parallelism of conventional microprocessors, software-based implementation of Montgomery multiplication remains insufficient...
In this paper a simple solution to obtain a feedback controller from input — output process data is proposed. The method uses the virtual reference structure and the virtual error in order to identify a dynamic compensator (DC) that achieves the derivative behaviour of the controller. The DC, defined as an adaptive filter, achieves a precise and extended compensation of the process dynamics. The controller...
Noise has become an element of disturbance specifically in industrial equipment. Noise may be in electrical form or in mechanical form. The later form is addressed in this paper. In the instruments used in industries, mechanical vibrations constantly occur. These are needed to be addressed and removed, else they cause the actual signal to get corrupted. This corrupted signal will not give exact results...
Underwater acoustic signal with nonlinear dynamic characteristic has a very important research value to the prediction and filtering. The prediction and filtering for underwater acoustic signal, especially the reverberation and background noise, is the foundation of underwater target signal detection, and has important application in the non-stationary, non-Gaussian and nonlinear underwater acoustic...
By properly setting up a secondary sound source on ship's shell, it is theoretically feasible to suppress ship radiated noise in a local region. Since low frequency line spectrum of ship radiated noise contains significant signature information, its active control has always been an important research task. Due to sound interference, to actively control various spectral lines, the phase compensation...
In this investigation, an adaptive filter algorithm using Fractional Fourier transform (FrFT) has been developed for enhancement of targets in microstructure noise. In particular, the FrFT is introduced as a transformation tool to prepare ultrasonic signals for a more compact support. It also reduces the non-stationarity of signals. Furthermore, a normalized least mean square (NLMS) filter is applied...
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