Data pre-processing is challenging as it involves extensive manual effort and time, includes the process of noise removal referred as signal denoising or simply denoising. Noises present in signals are difficult to recover using the traditional methods. Now Wavelet Transform is used for denoising techniques. The implementation results reveal that the proposed technique achieves a state-of-the-a...

ECG signal is a biomedical signal that gives electrical activity of heart. This ECG signal may corrupted by different noises like channel noise, power line interference (PLI), baseline wandering, muscle artifacts etc. So denoising and smoothening is done before peak detection. In this paper study of different ECG denoising and peak detection techniques are presented. Index Terms – ECG signal, D...

We present a method for learning a low-dimensional manifold for speech from clean speech samples in high-dimensional space. Using this manifold, we perform speech denoising by projecting noisy speech onto the manifold to remove nonspeech components. This method of denoising classifies our algorithm as a signal subspace denoising method, where highdimensional noisy data is projected onto the sig...

As the sound signal of ships obtained by sensors contains other many significant characteristics of ships and called ship-radiated noise (SN), research into a denoising algorithm and its application has obtained great significance. Using the advantage of variational mode decomposition (VMD) combined with the correlation coefficient for denoising, a hybrid secondary denoising algorithm is propos...

Background: Electromyographic (EMG) signals obtained from a contracted muscle contain valuable information on its activity and health status. Much of this information lies in motor unit potentials (MUPs) of its motor units (MUs), collected during the muscle contraction. Hence, accurate estimation of a MUP template for each MU is crucial. Objective: To investigate the possibility of improv...

Image denoising by block matching and threedimensionaltransform filtering (BM3D) is a two steps state-ofthe-art algorithm that uses the redundancy of similar blocks innoisy image for removing noise. Similar blocks which can havesome overlap are found by a block matching method and groupedto make 3-D blocks for 3-D transform filtering. In this paper wepropose a new block grouping algorithm in th...

Based on the wavelet transform principle of nonlinear signal denoising , a design of fault signal denoising of permanent magnet linear synchronous motor vertical elevating system is presented using Digital Signal Processor(DSP) chip as its detecting and processing core . The experimental results show that the wavelet transform fault signal denoising applied to this system can not only preserve ...

The ECG signal is an important parameter for the diagnosis of heart disease. In the process of collection and transportation, ECG signals easily mixed with human body noise or the noise generated by the instrument. Therefore, the noise greatly affects the accuracy of the measurement. Wavelet threshold denoising method is widely used in denoising of ECG signal. Based on soft threshold and hard t...

based on the convolutional model, a seismic trace is the convolution of seismic source wavelet and reflection coefficient series of the earth. seismic source wavelet estimation is one of the most important stages in processing and interpretation of seismic data. accurate estimation of wavelet increases the efficiency of the deconvolution and temporal resolution of seismic data. on the other han...