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The energy detection(ED) receiver is a practical solution for time of arrival (TOA) estimation in ultra wideband (UWB) ranging,Nevertheless,this method is vulnerable to the interference of noise and other wireless systems.In the study,we propose a novel method based independent component analysis(ICA)...

Wigner-Vill distribution (WVD) will inevitably have cross-terms when it used for time-frequency representation in a multi-component signal. In order to suppress the cross-terms in Wigner-Vill distribution, this paper proposes a joint algorithm based on EMD-ICA. This algorithm resolves a multi-component...

To solve the problem of adjacent order overlap for variable speed bearings, a novel method with the fixed-point independent component analysis (ICA) and peak detection is proposed. Firstly, the mixed vibration signal is whitened by through of the singular value decomposition. Then it introduces fixed-point...

Aiming at the rapid expansion of urbanization ,This paper proposed a new independent vector analysis model, it is an extension of ICA for independent multivariate speech where the sources are mixed component-wise. Formulation that can solve the frequency-domain blind source separation problem, which...

This paper proposes a model named Independent Component Analysis with Reference Curve (ICARC) to extract and remove artifact signal from Electroencephalogram (EEG). Firstly, an additional requirement and a priori information are introduced directly into the contrast function of the traditional ICA model....

This paper proposed a retransmission scheme based on the blind separation method, named independent component analysis(ICA),to resolve the collision problem in random access wireless network and a new method to devise the Identification(ID)sequences which can resolve the problems of ICA and help to reduce...

The DOA (Direction of Arrival) estimation problem ULA (uniform linear array) was studied, and one new LS-ICA method was proposed based on ULA (uniform linear array) under Gaussian noise, which was filtered during signals separation by ICA. With strict mathematic reasoning, steps of the new DOA estimation...

This paper aims to estimate the dependence between macro-economy and stock market volatility. Firstly, we employ independent component analysis (ICA) to excavate the independent driven factors of the macro-economy and name all the independent components. Secondly, we assume that all margins are submitted...

This paper proposes a model named Independent Component Analysis with Reference Curve (ICARC) to extract and remove artifact signal from Electroencephalogram (EEG). Firstly, an additional requirement and a priori information are introduced directly into the contrast function of the traditional ICA model....

Sparse code shrinkage (SCS) has been proved to be a very promising method for natural image denoising, but it still has some drawbacks such as considerable complexity of computation and inevitable loss of image details. In this paper, we propose a new compensation operation and an improved shrinkage...

The long-term effects of low-density lipoprotein (LDL) apheresis (LA) on the progression and regression of atherosclerosis were evaluated by carotid ultrasonography in two severe heterozygous familial hypercholesterolemic patients with carotid artery stenosis. Furthermore, the lipid-lowering efficacy...

Artifacts such as eye movements, muscle, electrocardiogram (EKG) and line noise may cause severe contamination in Electroencephalogram (EEG). The independent component analysis (ICA) is the general method to remove the artifacts within electroencephalographic traces. Desired bands in specific EEG analysis,...

Introduction: Intima-media thickness (IMT) of carotid and femoral artery and plaque formation are both markers of subclinical cardiovascular risk, despite these two process are not simultaneous. Our aim was to investigate their genetic and environmental background. Methods: 54 monozygotic (MZ) and 32...

Objectives: The occlusion of the internal carotid artery (ICA) frequently leads to stroke and develops most commonly as a consequence of arterial embolism or atherosclerotic thrombosis. Following acute care, if the patient’s general condition makes it possible, the patient is emitted from the hospital...

Unmanned Aerial Vehicles (UAVs) are extensively utilized in both civilian and military sectors; yet, conventional UAV control algorithms encounter efficiency limitations in complicated situations. This research proposes a BCI-based UAV control system to enhance UAV control efficiency. This design system...

The paper discusses the time-domain blind seperation applied to communication signals, using an ICA algorithm EFICA together with a wavelet de-noising processing method. In the Blind source separation system, regardless of the mixed signals and separated signals, noise pollution occurs frequently, it...

Component extraction is wide used in biomedical signal processing. Traditional independent component analysis (ICA) techniques aim to estimate all underling components from their mixtures simultaneously. To overcome the drawbacks, a constrained separation approach is presented for extraction of one or...

In consideration of some problems including the independence and invariance of components, no noise assumption and the uncertainty of the final solution as well as the inconsistency of the features of remote sensing data in traditional independent component analysis (ICA) model, we put forward a blind...

Volcanic ash cloud can threaten the safety of aviation transportation. The current detection of the volcanic ash cloud mainly depends on the remote sensing images. Independent component analysis (ICA) and support vector machine (SVM) have very strong complementary to each other in the volcanic ash cloud...

As neuroimaging technology matures, high-dimensional biomedical data is gradually applied to research. Location of activated regions from multi subject fMRI data is the foundation for exploring functional brain tissue in neuroscience. However, most of the methods ignore the multi-way nature of the data...

The purpose of this study is to find out the influence of social media on the destination image and impact on the visit decision, the influence of word og mouth on the destination image and the impact on the decision to visit, the influence of the destination image on the decision to visit a tourist...

Cattle business is one of the profitable businesses, but its maintenance also requires extra attention. In addition to regular feeding, owning a cattle business is also required to maintain the cleanliness of the enclosure. Therefore, the owner or worker always cleans the cow dung and piles it separately....

Diagnostics of the rotating machinery can identify potential failure at its early stage and reduce severe machine damage and costly machine downtime. Rub-impact is common faults in rotating machinery and results in impact and friction between rotor and stator. The vibration signals due to impact and...

Hyperspectral image visualization is an important research aspect in hyperspectral image fusion. This paper compared four typically used hyperspectral image visualization methods: method based on bilateral filter, method based on Principal Component Analysis (PCA), method based on independent component...

Aiming at the problem that the traditional frequency hopping communication in the complex electromagnetic environment is slightly less, this paper proposes applied the Blind Extraction technique in the Frequency Hopping communication. By this way, FH communication can keep the communication in the condition...

Independent Component Analysis is a useful method to find some internal keyelement which play an important role in the development. This paper uses ICA to analyze agriculture insurance to try to find the major factorwhich has great impact. We take FastICA as analysis tool and designed parameters. According...

Artificial intelligence techniques are being used effectively in medical diagnostic tools to increase the diagnostic accuracy and provide additional knowledge. Electromyography (EMG) signals are becoming increasingly im-portant in clinical and biomedical applications. Detection, processing and classification...

In this paper, a new method is proposed to identify the parameters of fractional order chaotic system. The parameter identification is achieved by minimizing the mean square error between the states of original fractional chaotic system and those of the estimated one, in which the parameters to be identified...

The estimated enrollments of new student is required in the academic planning of a higher education institution. That can be done by forecasting using the fuzzy time series (FTS) technique. FTS method is an artificial intelligence computation technique that can capture patterns from previous data to...

In order to prevent the user name and password from being stolen, this paper puts forward the application research of improved encryption algorithm in cloud computing user information security protection. In this paper, the privacy protection method based on face recognition mainly uses Gabor filter...

Irrational financial behavior that is often found in financial markets is herding behavior. If market participants do herding, it will affect changes in stock prices and certainly will have implications for asset returns and risks owned. This study aims to determine grazing behavior based on the type...

Abstract.P300 Event Related Potential (ERP) has drawn much interest in different application of psychological background. An endogenous ERP component, P300, has been widely inspected in detecting deception. Detecting P300 from EEG signals is hard to find because P300 is overloaded with noise and other...

For the resting state functional magnetic resonance imaging (fMRI) data, it has an important significance in clinical medicine to extract the functional connectivity regions (Default Mode Network, DMN). Independent component analysis (ICA) is an excellent method to detect the DMN. It has been popularly...

Smooth Support Vector Regression (SSVR) is new modified edition of traditional support vector regression for better performance. To further improve the modeling capability of SSVR, it is necessary to take into account the feature extraction based on Independent Component Analysis (ICA) before SSVR. Simulation...

A proposed methods seeks to improve the processing of Electrocardiogram signals with the intent of reducing the impacts of power-line interference and magnetic-field defects that commonly result in uncertainties of medical diagnosis. The initial step of our proposed approach involves decomposition of...

This study aimed to identify the professional competence of chefs in traditional Indonesian restaurants in Malang city. The study was conducted in two stages involving 12 selected restaurants. The first stage was identifying the profile of chefs, while the second stage consisted of in-depth interviews...

Songket weaving craft of Palembang City has been the center of the easy ikat weaving craft since ancient times and has become the hallmark of the city of Palembang. Currently the production process used by the songket weaving craft is still very simple, most of the work process in making this woven fabric...

Fault monitoring or detection online is very important for the safe operation of power equipment. The traditional contact-type detection system based on vibration feature exist some troubles under the high voltage and strong electromagnetic field conditions. In this paper, a non-contact sound detection...

In this paper, a novel algorithm for two-dimensional angle estimation with uniform circular array (UCA) based on independent component analysis (ICA) is proposed. First the linear mixed signals are separated by ICA. Then, separated signals are used to waveform matching filter with the original mixed-signal....

The development of entrepreneur skills is one of the efforts made by educational institutions to provide provisions for their students so that after they complete their education, they are ready to face life in society, especially in the Volatility, Uncertainty, Complexity, Ambiguity (VUCA) era. These...

An improved Entropy Component Ananysis algorithm is proposed in this paper,which named as Optimized Entropy Component Analysis. The OECA algoptithm which is based on the Optimized Kernel Entropy Component Analysis algorithm develops a different data transformation method. The data transformation reveals...

In this contemporary era of technology and artificial intelligence, no business entity is inclined to engage itself in the time-consuming traditional dispute resolution system of litigation. Despite possible disputes, there is always an inclination to resolve disputes in an amicable manner in line with...

It's likely undetermined case that the observed signal is less than the number of source number, while the FSK signal of track circuit is mixed with a variety of interference signal. The traditional independent component analysis (ICA) cannot separate source signals. The article separate source signals...

In this paper, a novel hybrid approach composed of adaptive neuro-fuzzy inference system (ANFIS) and imperialist competitive algorithm is proposed. The imperialist competitive algorithm (ICA) is used in this methodology to determine the most suitable initial membership functions of the ANFIS. The proposed...

The method of multivariate statistical analysis is a branch of classical statistics, is a comprehensive analysis method, it can also have each other for multiple objects and the index of correlation analysis, parsing the statistical rule between them, at present has been widely applied to agricultural...

Acid gas removal (AGR) units are widely used to remove CO2 and H2S from sour gas streams in natural gas processing. When foaming occurs in an AGR system, the efficiency of the process extremely decreases. In this paper, a novel approach is suggested to regularly predict the gas dew point temperature...

There is enormous evidence that the initiation and growth of atherosclerosis is highly influenced by hemodynamic factors. In this study, hemodynamic factors in the following patient specific 3D carotid artery models were studied: i) normal, ii) stenosis (with plaque near to bifurcation of internal carotid...

Independent Component Analysis (ICA) is used in this paper to study the brain signals of patients with Amyotrophic Lateral Sclerosis (ALS) in the EEGLAB toolbox. Electroencephalography (EEG) signals are recorded in unipolar mode, wherein the Cz electrode is selected as the reference electrode. Therefore,...

Mu rhythm is produced in motor sensory cortex of human brain, a region associat-ed with voluntary movement. Feature extraction for imagery movement related to in this paper is based on mu rhythm. The result of the new method we put forward showed that we can separate EEG signal from power frequency noise....

The electroencephalogram (EEG) is a kind of biological signal that represents the activity of the brain which plays a key role in the diagnosis of brain. EEG signal was de-noised using butterworth filter in this paper. Based on analysis of methods of EEG signal processing, we propose to use wavelet transform...