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The separability conditions imposed on mixing matrices and sources, which form the basis for blind source separation, are usually supposed to be satisfied when an algorithm is proposed or used. However, in practice, we only have the observations at hand, and if an algorithm fails to separate sources in a given scenario, it is especially interesting to know why this could happen. In this paper, we...
The Extended Kalman Filter (EKF) algorithm is easy to be affected by the initial state value and the pseudo linear equation based algorithm will result in biased solution. A new asymptotically unbiased location and tracking algorithm with bearings-only measurements by two stations is proposed to solve these problems. The proposed algorithm introduces the correlation matrix of the observation error...
The paper describes that for a uniform linear array (ULA), discrete Time Fourier transform (DTFT) based direction of arrival (DOA) estimation relies on knowledge of the power spectral density (PSD). Discrete Fourier transform (DFT) with zero padding follows DTFT algorithm, which finally reaches resolution of space frequency. We present a novel approach for signal tracking, which updates the signal...
Aliases discovered in Thai articles are challenging. We apply a standard vector space model to explore and match aliases with formal names or each others. On first construct a term-by-document matrix (TDM), which contains term frequency of term occurring in document collection assuming that all terms exist in the typed named entity dictionary. Normalization techniques are used instead of standard...
In this paper, the signal model and expression in time domain of DS-UWB signal are introduced, and an approach using eigen-analysis of correlation matrix for DS-UWB signal is proposed to blindly estimate the PN sequence and several parameters in low SNR DS-UWB signal. Compared with the previous methods, both synchronization and PN sequence estimation can be realized simultaneously by the approach...
Multiple hypothesis testing in biomedical signal analysis and genomic signal processing has been facing a difficult dilemma regarding the adjustment of significance values. Studies that report unadjusted values may fail to control false positives. On the other hand, classical correction methods may be too conservative while handling high-dimensional variable spaces, yielding a high type II error rate...
In this paper, coherent detection for multilevel correlated signaling sets in additive white Gaussian noise is addressed. From the decision rule, a general analytical expression for the symbol error probability (SEP) is derived, which is in the form of a single integral. Our new result is not only in agreement with a known equivalent expression, but it also has a much simpler analytical form. The...
Among all blind channel estimation problems, subspace-based algorithms are attractive due to its fast- converging nature. It primarily exploits the orthogonality structure of the noise and signal subspaces by applying a signal-noise space decomposition to the correlation matrix of the received signal. In practice, the correlation matrix is unknown and must be estimated through time averaging over...
In this paper, two-step separation technique based on subband QR factorization is introduces. The first step is the sphering step and the second step is the rotation step. The sphering matrix is estimated from the time representation of the mixture signals but the rotation matrix is estimated in the wavelet domain of the whitened mixture-signal. The conventional sphering method is used while the rotation...
To achieve the highest capacity for MIMO system under Rician fading channel, the certain statistical values of transmitted signals represented by correlation matrix have to be met. In practice, the transmitted signals assigned by users provide an uncertain correlation matrix which is not optimal for Rician case. To solve this problem, the method to transform the user's signals into the transmitted...
An improved interpolator based on QR-decomposition is proposed to suppress narrow-band interference (NBI) in direct-sequence spread-spectrum (DS/SS) systems. This interpolator is based on the discrepancy in the predictability between NBI and the spread spectrum signal (SS), and then uses a linear interpolation of the received signal to estimate NBI. Because of QR-decomposition operation instead of...
In the following, we present a novel wideband multiple-input, multiple-output (MIMO) channel model, which we refer to as the structured model. The model is based on the eigenvalue decomposition (EVD) of the wideband channel correlation matrix. It does not assume the scatterers at the receiver fade independently of those at the transmitter. It also models correlation between delay bins in the power...
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