The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The damaged gearbox is often related to non-linear effects that may lead to non-linearity in the machine vibration signal. This paper introduces the application of modern signal processing technique based on higher order spectrum to the fault detection and diagnosis of gearbox. The bi-spectrum can effectively eliminate the effect of random noise and extract useful features from the noisy mechanical...
In this paper, a signal processing algorithm to detect eye movements is developed. The algorithm works with two kinds of inputs: derivative and amplitude level of electrooculographic signal. Derivative is used to detect signal edges and the amplitude level is used to filter noise. Depending of movement direction, different kinds of events are generated. Events are associated with a movement and its...
Near-field measurements are sometimes corrupted by ambient noise from either far- or near-field sources. Far-field noise can be removed by performing measurements in a shielded room, but this option is not always available. An adaptive noise cancellation technique is proposed for cancelling ambient electromagnetic interference from measurements taken in a noisy environment. A time-domain, non-recursive,...
This paper investigates spectral properties of conducted emissions (CE) of DC/DC converters used in space applications (e.g., onboard space vehicles). This is done in order to improve the accuracy of prediction models, recently developed, which foresee measurement of CE in the time-domain and subsequent time-to-frequency transformation. In particular, two phenomena are addressed in this work: (a)...
Classical relevance vector machine is sensitive to outliers during training and has weak robustness. In order to solve this problem, a novel robust relevance vector machine is presented in this paper. The key idea of the proposed method is to introduce individual noise variance coefficient for each training sample. In the process of model training, the noise variance coefficients of outliers gradually...
For the multisensor systems with companion form and unknown model parameters and noise variances, using recursive instrumental variable(RIV) algorithm, the local and fused model parameter estimators are obtained. Based on the fused model parameter estimators, the information fusion noise variance estimators are presented by using correlation method. They have strong consistence. Further, a self-tuning...
Signal pre-processing and post-processing are becoming two key factors that impact embedded speech recognition systems from the laboratory to practical application. Speech endpoint detection and out-of-vocabulary rejection are the most important part of the speech pre-processing and post-processing respectively. The performance of traditional speech endpoint detection based on short-term energy and...
This paper tries to create a new biologically-inspired abstract model for the sound signal processing. The abstract model also shows the memory storage for the sound signal processor. This research adapts the functions from the biologically-inspired entities, which are the human auditory system and the human brain. This research aims to provide integrated and structured database to store the sound...
This paper discusses the development of a video localization system to be used as an automatic cameraman in interactive video discussions to eliminate the need for camera operators. The system consists of microphones, multiplexing circuit, computer and PT camera. The localization algorithm is based on comparing the amplitude level of the signals from all microphones and then selects the one with higher...
Bayesian filtering appears in many signal processing problems, reason which has attracted the attention of many researchers to develop efficient algorithms, yet computationally affordable. Ranging from Kalman Filter (KF) to particle filters, there is a plethora of alternatives depending on model assumptions. We focus our interest into a recently developed algorithm known as the square-root Quadrature...
This paper has proposed an idea of designing target simulator using virtual instrument technology, points out the shortcomings in the original target simulator, uses fast look-up table method in the signal simulation algorithm, especially in the echo cosine calculation, shorts the processing time of computer, exerts software function in the instruments, while fully satisfies the requirement of simulator...
In this paper, we consider the problem of blind channel estimation for single-input, single-output (SISO) system. Our main aim is to provide a new consideration in the subspace-based blind channel estimation. Instead of utilizing the noise subspace, as usually the case, we propose a new algorithm that makes use of the signal subspace signature. The new algorithm is shown to give a comparable performance...
Weak signal detection problems can usually be met in the fields of signal processing, signal transmission, networking and security (key enabling technologies supporting electrical and control engineering applications). Modeling and simulation are very important for the design and application of weak signal detection algorithms to support electrical and control engineering applications and extensive...
A new signal process method based on discrete wavelet transform is proposed in this paper to enhance the accuracy of fiber-optic Weight-In-Motion(WIM) system. The fiber-optic WIM system setup is developed and the characteristic of the axle weight signal is analyzed. The algorithm of the discrete wavelet transformation and its implementation is discussed in detail simultaneously. Theoretical analysis...
This article describes the basic principles of the wavelet analysis technology for GPS deformation signal processing. According to the basic property of wavelet function, combined example of GPS deformation signal that contain a small amount of gross errors, this article studies the display law of characteristics of gross errors in different scales after wavelet transform and the problem how we determine...
We consider the problem of two-stage signal cancelation based on noisy observations. This problem turns out to be an extension of the Witsenhausen counterexample - a famous open problem in distributed control. Cost is imposed on the power expended by the first controller, and the residual signal after the actions of the two controllers. Along the lines of a recent approximate solution to the Witsenhausen...
We consider the problem of deciding whether a highly incomplete signal lies within a given subspace. This problem, Matched Subspace Detection, is a classical, well-studied problem when the signal is completely observed. High-dimensional testing problems in which it may be prohibitive or impossible to obtain a complete observation motivate this work. The signal is represented as a vector in ℝn, but...
In this paper, based on a matrix factorization a novel structure is proposed for digital system implementation and adaptive filtering applications. The equivalent state-space realization of such a structure is an input-balanced realization. Like the normalized lattice structure, it contains a series of Givens rotations. This proposed structure is simpler than the normalized structure and can be implemented...
For multisensor discrete time-invariant systems with the companion form, and unknown model parameters and noise variances, based on the recursive extended least square (RELS) and the correlation method, the strong consistent information fusion estimators of model parameters and noise variances are presented, and then by substituting them into the optimal weighted measurement fusion Kalman filter based...
This paper presents a new calibration method to overcome the challenges of MEMS inertial sensors for underwater navigation. The MEMS inertial sensor module is composed of an accelerometer, gyroscope and circuit of signal process. For navigation estimation, it is easy to be influenced by errors which come from MEMS inertial sensors. In general, the sources of error can be categorized into two groups,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.