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This paper presents an ECG denoising scheme based on the previously introduced noise invalidation method. The method provides an adaptive data dependent threshold which can be used to denoise ECG signals in an orthogonal basis of choice, by discarding coefficients that are smaller than the proposed threshold. Performance of the noise invalidation method is evaluated using mean square error by denoising...
Blast furnace top gas recovery turbine unit, TRT for short, is an energy saving system. Turbine is the key equipment in TRT system. The normal operation of turbine is directly related to the capacity of TRT system and the benefit of enterprises. In order to achieve the prediction of operation data of turbine, this paper firstly processed the turbine operation data collected from production scene with...
An effective adaptive median filter algorithm for removing salt and pepper noise in images is presented in this paper. It has solved the problem of the simplified Pulse Coupled Neural Network model in image filtering . At first, the simplified model is proved to fail to detect pepper noise using the method of reductio ad absurdum, and then, the model is improved using the method of divide and rule,...
Tracking agile aircraft under high accelerations generally demands sophisticated models for determining trajectories with desirable dynamics and accuracy. Often this raises complexity of the estimation algorithm as it gives rise to more elaborated methods for both taking model nonlinearities into account and handling a greater number of state variables that describe the model. The approach of this...
This paper proposes a false contour reduction algorithm using neural networks (NNs) and adaptive bi-directional smoothing. The proposed algorithm consists of two parts: false contour detection and reduction parts. In the false contour detection part, false contour candidate pixels are detected using the directional contrast features. The false contour reduction part is composed of two steps: NN processing...
Multichannel remote sensing (MRS) data can be passed to customers in different forms: original (raw), pre-filtered, compressed, classified. In this paper, we analyze how pre-filtering of original images can influence classification accuracy of three-channel images using three channels of real life Landsat TM data with simulated noise.
According to the characteristics of broad frequency and abundant spectral components of mine microseismic signal, we use AR model parameters and BP neural network to propose a method of filtering treatment for the signal and noise with different frequency ranges. We can use this method to separate noise and signal, and decompose different frequency band signals, so we can achieve the goal of filtering...
This paper specifies an OCR system for printed Malayalam characters. Malayalam is the principal language of the South Indian state Kerala. The input to the system would be the scanned image of a page of text and the output is a machine editable file. Malayalam Character recognition is a complex task because of the presence of two scripts; old script and new script and a lot of combinational characters...
In order to improve the real time prediction precision of sensor output time series, the predictable inner mechanism of time series is analyzed, and a method using wavelet filtering and neural network is proposed. Sensor output time series are first handled with wavelet filtering, and then predicted by neural network method. The proposed method can eliminate effect of measurement noise on prediction...
Process burning coal powder in boiler is in very complex suspension combustion and very unstable, monitoring system image includes a lot of noise signals from difference hands. In this chapter, compose of furnace flame monitoring system is introduced, the new method called as fast median filter for elimination image noise and special boundary detection algorithm based on neural network technique for...
Multispectral images provide information for different applications; these images are corrupted by noise, so denoising schemes are necessary to outperform the corrupted signals produced by different sensors. In here is proposed a novel scheme to enhance important characteristics in this kind of images, such as, edges and fine details.
This paper presents a comparative study between digital signal processing (DSP) systems and artificial neural networks (ANNpsilas) for object motion detection and object extraction and image filtering. The ANNpsilas are arranged as an ensemble to perform the motion detection and image subtraction function. ANN's are also used for rejecting any noise contained within the image. The ANN system displays...
One of the main disadvantages of Orthogonal Frequency Division Multiplexing (OFDM) is its high peak-to- average power ratio (PAPR). As the simplest approach to reducing the PAPR, clipping exhibits good practicability, and the repeated clipping-and-filtering (RCF) algorithm proposed by Jean Armstrong provides a good performance in PAPR reduction and out-of-band power's filtering. However, its way of...
OFDM waveforms offer strong advantages for integrated communication and radar systems. Nevertheless they require signal processing at the receiver that can serve for sidelobe suppression in order to avoid target masking. In this paper two reiterated filtering techniques, LMMSE and CLEAN, are considered and compared for this type of signal to evaluate their unmasking and resolving capabilities. Masking...
Finding and tracking a special pattern or template in a series of images with high frequency background, such as terrain image generated by satellite, is an important topic. A pattern in a satellite image has not the scaling problem but has the rotation problem since the satellite gets these images at a fix altitude. The phase only match filter (POMF) method is a kind of method that can recognize...
Designing for a convergent adaptive Kalman filter (AKF) which can be used in time-varying stochastic linear systems is considered. A necessary condition which can guarantee the designed AKF is convergent is proposed and proved. This necessary condition can be satisfied by choosing appropriate gains. In fact, choosing the gains is just a procedure of designing a convergent AKF. The AKF designed by...
Since noise smoothing and image enhancement are conflicting objectives in most image processing application, so it has to be dealt properly to preserve the quality of the image. The perceptual appearance of an image may be significantly improved by modifying the high frequency components to have better edge and detail information in the image. A simple method has been proposed to improve the pitfalls...
Ever since the Federal Communications Commision (FCC) announced that it would open the television (TV) spectrum for opportunistic access, there has been an increased interest in industry as well as academia to come up with proposals that would fit the criteria laid by FCC. To this end, IEEE 802.22 Working Group (WG) is formulating the first worldwide standard for cognitive radio to operate in the...
A Gaussian sum particle filter using RBF Neural Network (BRF-GSPF) is proposed to deal with nonlinear sequential Bayesian estimation. The nonlinear non-Gaussian filtering and predictive distributions are approximated as weighted Gaussian mixtures, and mixtures components are gotten by RBF neural network. This method implements conveniently in parallel way by cancelling resampling that solves weight...
A distributed state estimation scheme based on quantized observations in wireless sensor network (WSN) is proposed. Unlike the SOI-KF approach, we address the state estimation problem in two steps: firstly, local sensors and the fusion center apply the decentralized estimation scheme (DES) to design the quantized message function and the fusion function; secondly, the fusion center constructs a linear...
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