This paper briefly describes the basic principle of wavelet packet analysis, and on this basis introduces the general principle of wavelet packet transformation for signal den-noising. The dynamic EEG data under +Gz acceleration is made a de-noising treatment by using wavelet packet transformation, and the de-noising effects with different thresholds are made a comparison. The study verifies th...

Recently the non local (NL) means algorithm was introduced in order to suppress additive Gaussian noise in images. Although its very good performances for Gaussian noise, the NL-means method has two disadvantages. Its computational complexity is very large and the impulse rejection is poor. In this paper, we propose a simplified version of the NL-means algorithm with a much smaller computationa...

Accuracy of microarray gene expression based cancer classification depends on microarray image processing techniques. Image de-noising is one of the crucial step of the microarray image processing. Better the quality of microarray image, more accurate will be the result of cancer classification. In this paper, we have implemented Median filter and wavelet transform based filters with various th...

Speech signal de-noising plays an important role in numerous applications, including speech synthesis, recognition and also a necessary step for speech feature extraction, e.g., pitch track estimation. To acquire an accurate pitch track, the speech signal should have minimum noise interruption. Noise is usually generated by environments or electronic equipments during the recording of the speec...

Image noise removal is most important pre-processing step of image processing. Filtering method is emphasized for all types of de-noising schemes used for noise removal. In this paper, we have study about the different methods based on non-linear filter to remove the impulse noise from images. Different image noise removal algorithms are studied and some parameters are compared in a wide range ...

Wavelet denoising techniques are used to remove additive Gaussian noise by thresholding the wavelet coe cients. Like other transform based lters, wavelet shrinkage methods provide blur or visual artifacts that are exhibited in the neighborhood of image edges. The motive for implementing the Hybrid Wavelet Transform Filter (HWTF) is to provide discriminate smoothing operator for noise removal. T...

In this paper de-noising techniques are investigated in connection with secure wideband chaotic communication systems. An alternate version of the recently proposed Ueda chaotic communication system based on the initial condition modulation (ICM) of the chaotic carrier by the binary message to be transmitted is proposed and evaluated in the presence of noise, demonstrating a significant improve...

The aim of this paper is to investigate the effect of noises on performance of speech signal de-noising using the method based on wavelets, wiener filtering and ICA. Determination of voiced and unvoiced speech, low and high pitch, and methods for selecting appropriate wavelets for speech compression are discussed. Discrete wavelet transform (DWT) has been applied for suppression of additive noi...

Autonomous underwater vehicles (AUV) are usually equipped with vision sensors. However, the underwater images captured by AUV often suffer from effects such as diffusion, scatter and caustics. So image enhancement methods are necessary to increase visual quality. A Median filter de-noising approach based on multi-wavelet transform was proposed to remove the impulse noise viewed as random noise ...