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With the rapid development of the power grid and the increase of power demand, the voltage level of the substation is improving rapidly. The noise caused by the transformer becomes a serious problem because it affects the health of the surrounding residents. In this paper, the noise of 1000kV transformer in Shanxi is measured and analyzed. The results show that the transformer noise has low frequency...
We investigated differentiated signal from output of filter widely used in engineering, which is based on moving average method. We determined influences of different parameters on filtered signal error. We provided filter structure, that does not require further heuristic tuning.
This paper presents a FPGA (Field Programmable Gate Array)-based remotely sensed imagery denoising method, named FPGA-based median filtering. The proposed method is capable of processing large volume data since it takes full advantages of FPGA hardware and abundant logic units. This paper first overviews the traditional median filtering algorithm, and then highlights the FPGA-based filtering, including...
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...
Active Noise Control (ANC) has been gaining an increasing interest in recent years. Much attention has been devoted to design of efficient control algorithms, enabling noise reduction at a high level, with computational load acceptable by currently available electronics. Among different approaches to noise control, employment of vibrating plates as secondary sources or as active barriers is particularly...
In this paper we introduce an efficient hole-filling algorithm for synthetic generation of microimages that are displayed on an integral imaging monitor. We apply the joint bilateral filter and the median filter to the captured depth map. We introduce in any step of the iterative algorithm with the data from a new Kinect capture. As a result, this algorithm can improve the quality of the depth maps...
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 order to study digital filters using virtual instrumentation a simulation program specifically designed for this purpose has been developed. To implement this program means to use the following facilities: studying digital Butterworth filters, Cebyshev, Bessel and Median and change their parameters: bandwidth, order, rank and slope; possibility of changing the input parameters: amplitude, offset...
This paper describes the construction of a laboratory model of a bicopter, fully capable of a flight, and shortly discusses all related control problems. Namely, the problem of its stabilization during the flight, the design of the respective control loops and controllers, including signal measurement and processing, are presented in this work.
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...
As the world is a growing technological city, improvement on the current technology is given immense importance. This involves the improvement in the clarity of the signals used in an instrument; let it be in the form of text, audio or video. In short, the suppression of noise in any form is critical. Active Noise Control (ANC) has developed especially after the introduction of more powerful DSP chips...
Noise cancellation is very important step for ECG signal processing. For this problem, there are many methods had been applied. For example, Wavelet based de-noises, EMD based de-noise, Kalman based de-noise, etc. for resource very limited system, the above method may be not fit into the system resource. Algorithm complexity and resource requirement will be the major concern in this work. In this...
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...
The use of connected operator morphology, in particular operators that decompose by area, are examined for the problem of determining dense depth maps from stereo images. It is shown that the use of connected operators can augment and improve conventional processing algorithms. This paper describes how the new algorithm works and presents a comparison of its performance.
In this paper, a gradient based approach to adapt the parameters of the Weighted Vector Median Filter is presented. The validity of the method is inspected through a convergence test of the filter parameters and with results of noisy image filtering.
The performance of three different combined systems for noise reduction and acoustic echo cancellation is compared in this paper. This comparison is made in the specific context of hands-free radiotelephony in cars, where both noise and acoustic echo highly degrade speech quality. This article shows that the best system is based on a cascaded combination of a conventional echo canceller with a filter...
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...
Stack filters arc a class of nonlinear filters, first introduced by Wedcnt et. al. Stack filters perform well in many situations where linear filters fail. Stack fillers include rank order fillers, morphological fillers and weighted median fillers. The stack filter is defined by a Boolean function. The output of Boolean functions is restricted two values (i.e., "0" or "1"), Intuitively,...
In this paper, two pairs of dual morphological filters, the composite morphological filters (CMFs) are introduced. They have distinctive properties comparing with other similar morphological operations. CMFs are used to construct a directional morphological filter in impulsive noise removal procedures. It is proven that it has better noise-removal and detail-preserving abilities than classical morphological...
Linear-Nonlinear hybrid filters that have appeared in literature suffer from some severe disadvantages. They smear edges and are very hardware intensive. These shortcomings can be overcome by having a Bit-based Weighted Mean filtering scheme. This filter starts by calculating the median of a set of sample values. The sample values are then scaled. Those values which lie in the proximity of the median,...
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