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By using Relevance Vector Machine (RVM) to solve the problem of sparse signal recovery, Bayesian Compressive Sensing (BCS) can obtain good performance in spectral discrete spike signal detection. However, in cognitive radio (CR) system, the spectrum of primary user's signal, which is continuous in narrowband and is block sparse in wideband, cannot be exactly recovered by BCS. In this paper, a Bayesian...
Genetic Programming (GP) is an Evolutionary Algorithm commonly used to evolve computer programs in order to solve a particular task. Therefore, GP has been used to tackle different problems like classification and regression. In this work, the capabilities of GP in other types of problems are explored, particularly the feature selection problem. For this purpose, GP is applied to a set of benchmark...
Brain controlled wheelchair system is a Brain-computer interface (BCI) allowing people with severe neuromuscular disorder to control the navigation by themselves. Indeed, it replaces muscular activities by neurophysiological ones. The advantages of the Steady State Visual Evoked Potential (SSVEP) make it a favorable choice to be used in the BCI. The aim of the present study is to design a brain controlled...
The accurate estimation of ultrasonic Time-Of-Flight (TOF) is essential in ultrasonic non-destructive testing (NDT). In this paper, a new method for TOF estimation through envelope is proposed. Firstly, the Hilbert transform (HT) is used in ultrasonic signal processing in order to extract the envelope of the echo and to reduce the computational burden. Then, the wavelet denoising technique is applied...
Heart sound has an important information that can help in diagnosis of the abnormality. This paper is developed based on the previous research to improve the feature in each types of abnormal heart sound. Wavelet decomposition is used for noise removal. Features are extracted by AR-PSD and used as inputs for classification. Finally 13 types of abnormal heart sound are classified into 13 categories...
A system architecture design photon pulses heterodyne detection system, using the photon pulse photon detection heterodyne principle and statistical theory, based on the establishment of a photon pulses theoretical models ranging accuracy heterodyne detection system. The use of square-wave approximation, based on photon pulses heterodyne detection system typical parameters, mainly to study the effects...
This paper presents a computationally efficient Direction-Of-Arrival (DOA) estimation algorithm by Uniform Linear Array (ULA), which is effective for highly-correlated sources but also works for uncorrelated sources. The proposed algorithm is basically based on the relation between the elements of array covariance matrix, does not need eigendecomposition, iteration or angular peak-search, and leads...
Online handwriting recognition has many applications and the recognition with high accuracy is essential. In this paper, we introduce a method for online handwriting Farsi character and number recognition using Hidden Markov Models (HMM). First we recognize handwriting direction then we get some statistical and formatting features. The letters are classified by means of these features and then we...
Decision tree, as one of the most widely used methods in data mining, has been used in many realistic application. Incremental decision tree handles streaming data scenario that is applicable for big data analysis. However, imperfect data are unavoidable in real-world applications. Studying the state-of-art incremental decision tree induction using Hoeffding bound, we investigated the influence of...
In this paper an infrared (IR) indoor local positioning system (LPS) is presented. The most relevant low level design aspects are addressed. Using sinusoidal amplitude-modulation (AM) of an infrared carrier, differential distances between a mobile emitter, the position of which is to be obtained, and fixed receivers are measured. The system may yield accuracies at the level of a few cm and addresses...
Development of location privacy protection mechanisms is one of the most important concerns in existing and future location-based information systems, due to the important value that users' locations have for ill-intentioned organizations that could break in and obtain this data. Transformation-based location obfuscation techniques are one of the best techniques available because they substantially...
The MWR instrument builds, together with the SRAL altimeter, the Sentinel-3 (S3) topography mission in the frame of the EC Copernicus program. The MWR provides information for tropospheric path correction of SRAL measurements, and its data can also be used for determining surface emissivity and soil moisture over land, for surface energy budget investigations and ice characterization. The MWR is a...
This paper presents a novel method for ECG baseline drift removal while preserving the integrity of the ST segment. Baseline estimation is achieved by tracking 3 isoelectric points within the ECG waveform as fiducial markers used in an interpolation filter. These points are determined relative to the QRS complex, which is extracted using a known method (Pan-Tompkins algorithm). The proposed algorithm...
Pedestrian detection is an important research field in computer vision and a lot of studies have been made to enhance the accuracy rate. However, there are some limitations such as most researchers used to study pedestrian detection with analyzing individual images, instead of considering the relationship of frames in videos. For dealing with pedestrian detection in the video, we present a new method...
This paper explores how noise can improve classification accuracy of motor imagery classification using an ensemble support vector machine (ESVM) classifier. We add white Gaussian noise to the EEG signals and use them with the original signal data set for the ESVM training process. The ESVM classifier uses coefficients of the discrete wavelet transform (DWT) and coefficients of the autoregressive...
This article shows the solution to the problem of designing a neuronetwork component of industrial technical system. This solution lets to provide nominal accuracy of information processing, when technical system is working under conditions of destabilizing factors. Base of designing a neuronetwork component is algorithms of elimination of influence of external and internal noise of artificial neural...
The palmprint recognition has become a focus in biological recognition and image processing fields. In this process, the features extraction (with particular attention to palmprint principal line extraction) is especially important. Although a lot of work has been reported, the representation of palmprint is still an open issue. In this paper we propose a simple, efficient, and accurate palmprint...
Content-based image retrieval (CBIR) technique retrieves relevant images based on extracted features from image contents. Latent semantic indexing (LSI) is used as a semantic model in the CBIR field. This paper investigates the capability of LSI-based CBIR in dealing with different types of image noise, and the impact of noise on the retrieval results. To construct the feature-image matrix (FIM) in...
Self-calibration based on rotating cameras is a classical technique for recovering internal parameters which ensures that the camera motion is pure rotation and does not permit translation. In practice, however, it is hard to exactly keep the camera not to translate. Previous studies on this issue are mainly qualitative and less operable for practice applications. In this paper, we experimentally...
This paper presents a new license plate detection method based on the Canny edge detection and Sauvola binarization combine with Connected Components Analysis (CCA) and edge dilation. The proposed method was tested with 944 images in many different weather conditions and many different sizes of plates with only one configuration for all. We also build a ground-truth for each images and base on this...
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