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This paper develops an algorithm for finding sparse signals from limited observations of a linear system. We assume an adaptive Gaussian model for sparse signals. This model results in a least square problem with an iteratively reweighted L2 penalty that approximates the L0-norm. We propose a fast algorithm to solve the problem within a continuation framework. In our examples, we show that the correct...
Most biomedical signals are low frequency signals and usually submerged by stronger noises. It is not easy to extract their features using the normal filter methods. Independent component analysis (ICA) in signal processing has the ability of recovering independent source signals after they are linearly mixed by an unknown medium. In this article we first discuss the ICA model and the principle of...
Many sensing scenarios involve tradeoff between diverse sets of constraints that involve measuring and parameterizing some high dimensional sensing environment trade-space to give minimal estimation risk. Integrating and simplifying these tradeoffs is a daunting task, particularly in the context where the underlying assumptions of signal and noise distributions can result from complex statistical...
In this paper, we propose novel adaptive function expansion recursive least square (RLS) algorithms, which can dynamically choose filter channels for coefficient updates for nonlinear active noise control while still maintaining the compromised performance degradation for nonlinear active noise control. The algorithms are developed based on a multi-channel structure using a channel selection scheme...
A novel method for detection and diagnosis the bearing inner and outer race fault according to bi-spectrum analysis technique is presented. The bi-spectrum analysis is widely recognized as an effective technique for machinery fault diagnosis using vibration signals since it can be used to eliminate the effect of strong noise. This advantage makes it very suitable for extracting useful features from...
A novel adaptive time delay estimation algorithm based on SCOT weighted and minimum dispersion criterion is proposed in this paper. It is the estimator independent of priori knowledge and has the dynamic tracking ability. Theoretic analysis and the results of computer simulation indicate that the new algorithm performs robustly under both Gaussian and fractional lower order alpha stable environments.
In this paper, the multi-relays gain in the MIMO relay network is explained by the space rotation method. And in order to guarantee the multi-relays gain, a new structure of the signal processing matrix at relay nodes is pointed out. Then, a new relaying scheme, which is analogous to the SVD relaying scheme, is designed for the MIMO relay network. Numerical results show that the proposed relaying...
The feature extraction and target recognition of low-velocity targets near the port is difficult in signal processing. After the spectral characteristics of low-velocity targets are analyzed, the paper uses 1(1/2)-spectrum as the method of feature extraction. The advantages are as follow. 1(1/2)-spectrum can suppress the Gaussian white noise. It can enhance weak fundamental frequency components of...
A high frequency UWB waveform has been investigated, including application to surface wave propagation over seawater. A calculation based upon anticipated noise (approximately galactic for non-populated locations) and the computed electric field at one mile range indicates that a 13 dB signal to noise ratio is available at 31 miles. Assuming that the minimum time between pulses is equal to a pulse...
This paper introduces a reformulation of the extended Kalman Filter using the Gauss-Helmert model for least squares estimation. By proving the equivalence of both estimators it is shown how the methods of statistical analysis in least squares estimation can be applied to the prediction and update process in Kalman Filtering. Especially the efficient computation of the reliability (or redundancy) matrix...
This paper describes a novel technique to eliminate the effect of decaying direct current (DC) component on DFT based phasor estimation. This technique is based on estimating the phasor of a sinusoidal wave corrupted by a DC component at an instant of time. Another phasor is estimated after half cycle from the instant of estimating the first one. The two phasors are added and a mathematical expression...
Sparse representation in compressed sensing is a hot topic in signal processing and artificial intelligence due to its success in various applications. A general classification algorithm based on sparse representation theory named Sparse Representation Classification (SRC) was successfully applied in face recognition. In this paper, we research the issue of facial expression recognition (FER) via...
High-resolution (HR) images are in demand because they not only give the viewer a pleasing view of the scene but also offer additional details that are important for analysis. Signal processing approach can be used to improve the resolution from several sub pixel shifted low resolution images. The image to be super-resolved is estimated from a set of low resolution (LR) observations, using Least squares...
Successful detection of power line arcing requires various algorithms from frequency domain to time domain analysis. This paper explores frequency phenomenon that when analysed with a defined set of algorithms can distinguish between arcing noise and typical power line noise associated with distribution hardware and various noise-generating loads. These techniques may be applied to measuring conducted...
This paper presents the acquisition of heart sound signals and its separation from lung sounds based on the adaptive filtering technique. After signal acquisition, normal linear filtering techniques is not capable separated the two sounds, as both the sounds overlap in the spatial as well as temporal domains. Because of the signal tracking and noise elimination capability of adaptive line enhancer...
For the multisensor autoregressive moving average (ARMA) signals with unknown model parameters and noise variances, using recursive instrumental variable (RIV) algorithm, the correlation method and the Gevers-Wouters algorithm with dead band, the information fusion estimators of model parameters and noise variances are presented. They have strong consistence. Then substituting them into the optimal...
A novel micro/nano displacement based on multi-stage expansion mechanism is presented. It combines the accuracy mechanism technology and real-time fine electronic technology. The paper focuses on from the working principle electronic information acquisition, hardware design to signal processing as well as the characteristic experiment and so on. Micro/nano displacement was detected using four strain...
Consequently, DOA which had limit and did not easily adapted in array antenna system because of complex coupling mechanism is considered as adjustable to real array antenna systems through above represented method. Also, a simple way of DOA introduced in this paper, in addition to various theories researching in a field of signal processing can be applied to array antenna system. And it will be expected...
The algorithm of wavelet analysis can be used to estimate the time delay (TD) and Doppler stretch (DS) of Chirp signals, but it cannot suppress the effect of Gaussian noises. In this paper, a definition of fourth-order Wavelet-Cumulants is given by combining the wavelet and the forth-order cumulant. This method can be used in unknown Gaussian noise environment. The simulation results demonstrate the...
The theory of nonuniformly sampling can process signals with components whose frequencies exceed the Nyquist limit. The disadvantage of nonuniformly sampling is hard to realize and process the weak signal. A method for pse-nonuniform sampling to process weak signal is proposed. It combines sampling rate with amplitude of signals. It make the most of some special samples that it is help to process...
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