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A new synthesis scheme is proposed to effectively generate a random vector with prescribed joint density that induces a (latent) Gaussian tree structure. The quality of synthesis is measured by total variation distance between the synthesized and desired statistics. The proposed layered and successive encoding scheme relies on the learned structure of tree to use minimal number of common random variables...
With the increasing stress in working and studying, mental health becomes a major problem in the current social research. Generally, researchers can analyze psychological health states by using social perception behavior. The speech signal is an important research direction in this domain. It objectively assesses the mental health of social groups through the extraction and fusion of speech features...
This papers reports for the first time on the measurement of the noise parameters of an active noisy 4-port network. The measurement stems from a novel analytical approach that allows the noise parameters of a noisy linear network with any number of ports to be determined. The analytical approach has been described in a previous publication and passive networks were used to confirm its correctness...
Benefiting from compressed sensing theory, sub-Nyquist spectrum sensing (SNSS) has been considered as a promising way to deal with the implementation limitations of conventional wideband spectrum sensing in cognitive radio (CR) networks. However, in most existing SNSS methods, the prior knowledge of the monitored frequency bands is needed to determine the termination condition of the iteration process...
We study the noise of a class-A dual-frequency vertical external cavity surface emitting laser at Cesium clock wavelength. Both the intensity noise and phase noise of the beatnote between the two orthogonal polarized modes are measured and modeled. The intensity noise of the two orthogonal laser modes and its correlation are well predicted by a theory based on modified rate equations. The phase noise...
The vocal mechanism and structure of ship radiated noise and marine biological noise are analyzed, and the differences of short-term inter-frame spectral similarity between the two kinds of noise are compared. On the basis of this, Pearson correlation coefficient variance of the spectral trend of the adjacent two frames in the short term of the framing signal is used as the recognition feature. A...
In this paper, as binary modulation schemes, the differential on-off keying (DOOK) system, which can achieve anti-background noise capability and high data transmission efficiency, is considered. In order to solve the synchronization slip, a visible-light framed DOOK system embedding {-1,+1}-synchronization signal pattern is proposed. Moreover, theoretical formulas of detection and false alarm probability...
Modelling of complex wave sources is an important topic in several scientific and engineering communities. In the context of electromagnetic compatibility, the complexity of field emissions from extended and broadband planar sources allows for the use of statistical methods to characterise the development of far field interferences from near field scanning at planes parallel to the source. We review...
Various works have been carried out about the Jeffrey's divergence (JD) which is the symmetric version of the Kullback-Leibler (KL) divergence. An expression of the JD for Gaussian processes can be deduced from the definition of the KL divergence and the expression of the Gaussian-multivariate distributions of k-dimensional random vectors. It depends on the k × k Toeplitz covariance matrices of the...
The recovery of periodic signals from their noisy single channel mixtures has made wide use of the adaptive line enhancer (ALE). The ALE, however, is not designed for detection of two-(2-D) or three-dimensional (3-D) periodic signals such as tremor in an unconstrained hand motion. An ALE which can perform restoration of 3-D periodic signals is therefore required for such purposes. These signals may...
Emissions from modern electronic circuitry are inherently complex and necessarily statistically characterized. The goal in this work is to characterise such emissions as they operate in a realistic environment. When the surrounding environment is electromagnetically large, or complex, the problem of simulating such emissions is further compounded by the intractability of full EM wave modeling: at...
In order to improve the signal-to-noise ratio(SNR) of the noise-contaminated signal and speed up the calculation speed. Firstly, digital average and correlation analysis two traditional methods is introduced in this paper, and then a new fusion algorithm method based on packet digital average and correlation analysis is proposed. Furthermore, simulations based on MATLAB of digital average, correlation...
In the aspect of weak signal detection, the single sensor has the limitation to detect the weak signal and carry out the cross correlation operation. Therefore, the paper proposes a multi-sensor cross-correlation fusion algorithm. The same measured point is detected using a plurality of identical sensors and the detected signal is processed using the cross-correlation fusion algorithm. Through theoretical...
Recently, a multi-frame minimum variance distortionless response (MFMVDR) filter for single-microphone noise reduction has been proposed, which exploits speech correlation across consecutive time frames. It has been shown that the MFMVDR filter achieves impressive results when the speech interframe correlation vector can be accurately estimated. In this paper, we analyze the influence of estimation...
This paper addresses the problem of joint detection and estimation fusion when sensor quantized data are correlated in the distributed system. The traditional methods to handle this joint problem tend to treat the detection and estimation tasks separately, which put more emphasis on the detection part but treat the estimation part sub-optimally. In this work, the joint detection and estimation fusion...
This paper explores a novel model to describe linear dynamic system with random delays. Compared with the existing research, the probabilities of random delays in the novel model are calculated by conditional probabilities. Therefore, the process noises and measurements noises in the new model for random delay problems are infinitely correlated. By treating the model as random parameter matrices Kalman...
In this work we consider one-dimensional blind deconvolution with prior knowledge of signal autocorrelations in the classical framework of polynomial factorization. In particular this univariate case highly suffers from several non-trivial ambiguities and therefore blind deconvolution is known to be ill-posed in general. However, if additional autocorrelation information is available and the corresponding...
This paper proposes a method for estimating the process noise covariance matrix, using multiple Kalman filters. The basic idea is to employ the difference between the expected prediction error covariance, calculated in the Kalman filters, and the measured prediction error covariance. The required estimate of the process noise covariance is obtained by solving a least squares problem. One simulated...
Passive locating by capturing radio signal strength (RSS) from mobile phone's WiFi probing messages in zerocalibrated environments is a challenging problem, because of 1) the lack of accurate RSS-distance model; 2) measurement noise, and 3) the dynamic environment factors affecting the measurements. This paper investigates the noise features of RSS signals by practical experiments, and investigates...
The Boolean multireference alignment problem consists in recovering a Boolean signal from multiple shifted and noisy observations. In this paper we obtain an expression for the error exponent of the maximum A posteriori decoder. This expression is used to characterize the number of measurements needed for signal recovery in the low SNR regime, in terms of higher order autocorrelations of the signal...
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