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The presence of parasite interference signals could cause serious problems in the registration of ECG signals and many works have been done to suppress these noise signals. By conducting a mathematical method based on varying window length as according to the distance from the adjacent Rpeak which are assumed to be high frequency noise (power line interference, electromyography noise) is removed with...
This paper presents a two stage process for image de-noising and edge enhancement by applying singular value decomposition technique on anisotropic diffused images. The two diffused versions of the input noisy image are generated in the first stage by anisotropic diffusion. The first diffused image is a well smoothed image and the second diffused image is sharp edge detected image. Singular value...
Since the loss of input rectifying diode bridge in the conventional PFC converter reduces the efficiency, the bridgeless PFC converter has been proposed. The totem-pole bridgeless PFC converter is the most representative one. However the common mode noise current occurring around the input voltage zero-crossing brings severe EMI problem restricts its practical application. In order to improve noise...
Target of this research is that patient can listen to sounds of own internal organs, be interesting in and have active involvement in own medical treatment. However, there is nothing in the world patient can listen to the sound of own internal organs. Any patient will be not able to make out sound of particular organ, using stethoscope. Doctor uses the stethoscope for diagnosis catching weak sound...
In this paper, the de-noising filter study of the sound-source using the DWT is introduced. We suggest the de-noising filter using the Discrete Wavelet Transform (DWT). The DWT has been performed to remove out the noises from the signals. In order to confirm the performance of suggested filtering algorithm, we estimate the distance and angle from the microphone to the sound-source and compare the...
Noise reduction is a crucial research topic of digital image quality enhancement in both theoretical and applied perspectives, and attracts extensive research efforts in decades. Weighted averaging with overcomplete orthogonal transform (WAOOT) has shown its ability to effectively remove i.i.d. noise, while maintaining edge sharpness. In this paper, the weights of the overcomplete transform set are...
We demonstrate a method for removing noise from images or other data on curved surfaces. Our approach relies on in-surface diffusion: we formulate both the Gaussian diffusion and Perona-Malik edge-preserving diffusion equations in a surface-intrinsic way. Using the Closest Point Method, a recent technique for solving partial differential equations (PDEs) on general surfaces, we obtain a very simple...
Image mating is the process of isolating the foreground in images and video. This task is challenging as it is severely under constrained. At each pixel we must estimate the foreground and background colour and the blending between them (alpha value). Most approaches calculate an affinity matrix and then minimise a system of linear equations to find the alpha matte. In this work we propose an extension...
Image noise can present a serious problem in motion deblurring. While most state-of-the-art motion deblurring algorithms can deal with small levels of noise, in many cases such as low-light imaging, the noise is large enough in the blurred image that it cannot be handled effectively by these algorithms. In this paper, we propose a technique for jointly denoising and deblurring such images that elevates...
Since the eco-era is getting closer, the importance of noise reducing in the passenger cars of high-speed train is very important. The active noise is best choice to reduce low frequency noise because since the passive one too heavy for high speed trains where weight so critical. Also ANC able to reduce the ambient noise when the environmental-factor changes. In this paper, we presents the active...
For scenes under low lighting condition, cameras are usually set to a high sensitivity (ISO) mode to reduce motion blur at the cost of increased image noise. When multiple differently exposed images are used to generate a high dynamic range (HDR) image, the high ISO noise from each low dynamic range (LDR) image can be further amplified by the HDR synthesis algorithm which would result in severely...
The idea of this paper is to model image denoising using an approach based on partial differential equations (PDE), which describes two dimensional heat diffusion. The two dimensional image function is taken to be the harmonic, when it can be obtained as the solution to the equation describing the the heat diffusion. To achieve this, image denoising is formulated as an optimization problem, in which...
By analyzing principle and method of wavelet denoising and the Duffing oscillator, this paper presents a joint detection measurement system that was composed by wavelet denoising and the Duffing oscillator. Simulation experiment shows that using joint measurement system to detect weak signal from high noise background have a more satisfactory result, and further improve the ability of detecting weak...
One can find in the literature numerous techniques to reduce noise in Magnetic Resonance Images (MRI). This paper critically reviews modern de-noising algorithms (Gaussian filter, anisotropic diffusion, wavelet, and non-local mean) in terms of their efficiency, statistical assumptions, and their ability to improve brain tumor segmentation results. We will show that although different techniques do...
This paper proposes a new noise filtering method inspired by Bilateral filter (BF) and non-local means (NLM) filter. The main idea here is to perform the BF in a multidimensional patch-space using an anisotropic kernel. The filtered multidimensional signal is then transformed back onto the image spatial domain to yield the desired enhanced image. The proposed method is compared to the state-of-art...
This is an embedded tutorial. It consists of two sections. The first section reviews several basic background topics for understanding the practical application examples presented in the second section. Most mixed signal tests employ the FFT-based processing. Firstly the relationship of the sampled waveform and the frequency spectrum is discussed by reviewing the DFT and IDFT equations. In the second...
Understanding the genotype-phenotype association is a fundamental problem in genetics. A major open problem in mapping complex traits is identifying a set of interacting genetic variants (such as single nucleotide polymorphisms or SNPs) that influence disease susceptibility. Logic regression (LR) is a statistical approach that has been proposed to model interactions of SNPs. Several LR-based association...
This paper discusses the vibration characteristic of an object, the generation mechanism of noise and noise reduction methods. Based on the theory of Statistical Energy Analysis, taking the vibration noise simulation software Auto SEA as a platform and the stiffened plate as an example, we carried out a qualitative numerical simulation research, through which, the relationship between different forms...
Hybrid video coding algorithms, e.g. H.264/MPEG-4 AVC [1], apply prediction and subsequent prediction error coding introducing quantization noise. The quantized prediction error signal and the prediction signal are added for reconstruction. Deblocking filters reduce quantization noise of the reconstructed signal at block boundaries. To further reduce quantization noise, adaptive Wiener filters are...
Most denoising method can deal with Gaussian noise or some kind of colored noise. This paper presents a new method of higher order spectral denoising on phase matching noise estimation. The method can remove not only the Gaussian noise but also Non-Gaussian noise. The noise is removed by high order spectral and phase matching estimate of current noise. The experimental results clearly show that this...
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