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Recognition of human's emotion from speech has become one of the most challenging and attractive fields of research in speech processing area. The present study aimed to detect valence of emotions, using Non-Linear Dynamic features (NLDs). NLDs are extracted from the Discrete Cosine Transform (DCT) of descriptor contours computed from Phase Space Reconstruction (PSR) of speech. These features are...
Noisy network coding, which elegantly combines the conventional compress-and-forward relaying strategy and ideas from network coding, has recently drawn much attention for its simplicity and optimality in achieving to within constant gap of the capacity of the multisource multicast Gaussian network. The constant-gap result, however, applies only to Gaussian relay networks with independent noises....
A phase rotation precoding is proposed for MIMO system to reduce interference caused by transmit correlation. The optimal rotation phases are designed based on maximize the infimum of the set of effective error vectors' norm. Simulation results show the validity of the proposed scheme, which, in the same conditions, improves reliability compared to the other phase rotation precoding scheme.
OFDM is an important technology for 4G and being used of the wireless data communication, but it is very difficult to have a blind recognition method about subcarrier modulation type of OFDM. The characteristics of cyclostationarity modulation spectrum which will be not affected by noise, This paper gives out a blind recognition method about modulation types of OFDM subcarrier based on coefficient...
In this paper we describe an algorithm to automatically detect correlation identifiers from arbitrary data sources. Correlation identifiers can be useful for determining relationships between data in order to isolate instances of a running business process for the purposes of process monitoring and discovery. We have implemented our algorithm and validate our approach on a simulator that implements...
According to the needs of testing broadband ADCP, it is studied the measurement principle and the coded pulse complex correlation algorithm. Based on the characteristics of the measurement and coded pulse, it is simulated the coded pulse complex correlation algorithm of the broadband ADCP. In this paper, the complex correlation algorithm is simple and convenient. Simulation results show that the algorithm...
This paper aims to examine the relationship between climate changes and Hand-Foot-Mouth Disease (HFMD) incidences. A study to examine the relationship between the weather and the HFMD cases in Sarawak, Malaysia had been done. However, the weather data obtained from the five meteorological stations in Sarawak were too few to represent the whole Sarawak, which account for unreliable results. To reach...
Automatic testing of stationarity and detecting of its abrupt change are of primary importance in numerous applications ranging from exploratory data analysis to diagnosis or surveillance. In which case, we are interested in points where the signal stationarity is violated. We consider the problem of how to detect these change-points, which we identify by finding sharp changes in the signal characteristics...
This paper introduces a fast matching algorithm to reduce the computational cost of the matching phase in the correlation algorithm based cellular probe speed estimation. Real-time traffic speed is essential in current intelligent transportation systems for identifying traffic congestion and providing high quality navigation services. The correlation algorithm shows superior performance over the localization...
Multiple input multiple output (MIMO) communication architecture has spectral efficiencies far beyond those offered by conventional techniques, and is greatly to increase the channel capacity. In this paper, we investigate the MIMO channel capacity in correlated channels using the uniform angular distribution, numerical simulations are performed with Matlab to verify the proposed formula. We prove...
The power spectral density function and the ambiguity function(AF) properties of Combination of Chirp Modulation and Pseudonoise Phase Modulation (PN-chirp) pulse signal is analyzed. According to the AF definition of a given finite energy signal, the AF of PN-chirp signal is deduced, and the autocorrelation function of the signal is also obtained. The AF of PN-chirp signal and Pseudonoise Phase Modulation...
Recently, Template matching approach has been widely used to locate faces with various pose, illumination and clutter background. Normalized Cross-correlation (NCC) is an effective and simple measurement method to compute the similarity matching between the stored faces templates and the rectangular blocks of the input image to locate the face position. However, localization error occurs very often...
In this paper, the trend as an important component in activities of daily living is modelled and integrated to a single-occupant occupancy simulator. Therefore, in the occupancy signal generated by the simulator, both seasonality and trend are included in occupant's movements. As the result of trends integrated to the simulator, occupancy signals with different types of trends such as increasing,...
We propose a new method for modeling the temporal correlation in videos, based on local transforms realized by Lie group operators. A large class of transforms can be theoretically described by these operators, however, we propose to learn from natural movies a subset of transforms that are statistically relevant for video representation. The proposed transformation modeling is further exploited to...
This paper mainly aims to study the performance of objective assessment methods of image quality. It take into consideration the correlations between each objective assessment and the subjective assessment in order to determine objective test performance. Three objective assessment methods used in this study are the Structural Similarity (SSIM) index, the Peak Signal-to-Noise Ratio (PSNR) and the...
A simple block-based compressed-sensing reconstruction for still images is adapted to video. Incorporating reconstruction from a residual arising from motion estimation and compensation, the proposed technique alternatively reconstructs frames of the video sequence and their corresponding motion fields in an iterative fashion. Experimental results reveal that the proposed technique achieves significantly...
In this paper, we proposed an efficient statistical chip-level total power estimation method considering process variations with spatial correlation. Instead of computing dynamic power and leakage power separately, the new method compute the total power via circuit level simulation under realistic input testing vectors. To consider the process variations with spatial correlation, we first apply principle...
An improved Wiener filtering method for reducing background noise added to speech in colored noise environments like car engine is proposed in this paper. This implementation uses the crosscorrelartion between the speech and noise signals. The noise signal does not affect the speech signal uniformly over the whole spectrum. A nonlinear multi-band Bark scale frequency spacing approach was proposed...
Based on 1961-2008 day-by-day meteorological data observed by Linyi stations, using correlation analysis and wavelet analysis method, the correlation and tendency of the pan evaporation and the main influence factors (sunshine, temperature, daily temperature range, relative humidity and wind speed, etc.) of the recent 48 years are researched. The results show that, in recent 48 years, the average...
The determination of particle size distribution (PSD) deals with ill-posed problems in dynamic light scattering (DLS) technique and small perturbation in measured data will cause serious errors in recovered PSD. In this paper, we proposed a modified technique which solves the second order correlation function directly. Simulated results show that this technique significantly reduced the inversion...
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