ESPRIT-like estimation of real-valued sinusoidal frequencies

Subspace-based estimation of multiple real-valued sine wave frequencies is considered in this paper. A novel data covariance model is proposed. In the proposed model, the dimension of the signal subspace equals the number of frequencies present in the data, which is half of the signal subspace dimension for the conventional model. Consequently, an ESPRIT-like algorithm using the proposed data model is presented. The proposed algorithm is then extended for the case of complex-valued sine waves. Performance analysis of the proposed algorithms are also carried out. The algorithms are tested in numerical simulations. When compared with ESPRIT, the newly proposed algorithm results in a significant reduction in computational burden without any compromise in the accuracy.     

An ESPRIT-like algorithm for coherent DOA estimation based on data matrix decomposition in MIMO radar

A direction-of-arrival (DOA) estimation method for coherent sources is presented for MIMO radar. It uses symmetrical array mode for both the transmit and receive arrays and reconstructs a special data matrix from the range-compressed receive data. In the reconstructed matrix, the signal term is a Toeplitz matrix with the rank only related to the DOAs of the signals and independent with their coherency. Taking the noise term into account, the average method of multiple pulses is utilized to obtain the signal and noise subspaces. And then the DOA can be resolved via the SVD-based ESPRIT algorithm. Furthermore, the presented method is also useful in spatial colored noise scenario for MIMO radar. Theoretical and numerical simulations show the effectiveness of the proposed algorithm.     

Slice spectra approach to nonlinear phase coupling estimation

A 1½-D spectrum approach, rather than a bispectrum approach, is proposed for estimating quadratic phase coupling. It is claimed that the former method has a much lower computational burden than the latter method. Where a complex signal is concerned, the 1½-D spectrum approach can be adapted to obtain the coupled and coupling components separately. A new efficient approach to cubic phase coupling estimation is also presented     

An alternative method for transistor low frequency noise estimation by measuring phase noise of test oscillator

In this paper we suggest an alternative method for the analysis of low frequency noise of transistors based on measurements of phase noise of a test oscillator. This method is demonstrated by experimental results obtained with a simple test oscillator with HEMT, and central frequency of 13.769 GHz. The main contribution to phase noise of the test oscillator comes from up conversion of transistor LF noise. This idea and the method can be used for the selection of transistors for high frequency application or for design of test circuit in RF IC manufacture.     

超宽带信号DOA的估计方法

对信号到达角(DOA)的估计是超宽带定位的关键技术之一.传统的到达角估计方法都基于窄带信号,已不能直接应用在超宽带场合,因此提出了一种基于频域模型的宽带子空间谱估计方法.仿真结果表明,该方法能准确估计超宽带信号的到达角.     

An adaptive method for combined covariance estimation andclassification

In this paper, a family of adaptive covariance estimators is proposed to mitigate the problem of limited training samples for application to hyperspectral data analysis in quadratic maximum likelihood classification. These estimators are the combination of adaptive classification procedures and regularized covariance estimators. In these proposed estimators, the semi-labeled samples (whose labels are determined by a decision rule) are incorporated in the process of determining the optimal regularized parameters and estimating those supportive covariance matrices that formulate final regularized covariance estimators. In all experiments with simulated and real remote sensing data, these proposed combined covariance estimators achieved significant improvement on statistics estimation and classification accuracy over conventional regularized covariance estimators and an adaptive maximum likelihood classifier (MLC). The degree of improvement increases with dimensions, especially for ill-posed or very ill-posed problems where the total number of training samples is smaller than the number of dimensions     

An estimation algorithm for 2-D polynomial phase signals.

We consider nonhomogeneous 2-D signals that can be represented by a constant modulus polynomial-phase model. A novel 2-D phase differencing operator is introduced and used to develop a computationally efficient estimation algorithm for the parameters of this model. The operation of the algorithm is illustrated using an example.     

An effective method for coupling single-mode fiber to thin-filmwaveguide

An effective method for coupling optical signals from single-mode fibers to thin-film waveguides is proposed. The authors show that this method provides high coupling efficiency for connecting fibers of different core diameters to thin-film waveguides of different film thicknesses or refractive indexes. The authors summarize the theoretical treatment of the coupler. Examples of couplers designed for SiO₂ -based materials as well as iron garnets are presented. Fabrication of the proposed coupler and its experimental results are described     

Detection of quadratic phase coupling from human EEG signals using higher order statistics and spectra

Interactions among neural signals in different frequency components have become a focus of strong interest in biomedical signal processing. The bispectrum is a method to detect the presence of quadratic phase coupling (QPC) between different frequency bands in a signal. The traditional way to quantify phase coupling is by means of the bicoherence index (BCI), which is essentially a normalized bispectrum. The main disadvantage of the BCI is that the determination of significant QPC becomes compromised with noise. To mitigate this problem, a statistical approach that combines the bispectrum with an improved surrogate data method to determine the statistical significance of the phase coupling is introduced. The method was first tested on two simulation examples. It was then applied to the human EEG signal that has been recorded from the scalp using international 10–20 electrodes system. The frequency domain method, based on normalized spectrum and bispectrum, describes frequency interactions associated with nonlinearities occurring in the observed EEG.     

An improved cyclic beamforming method for signal DOA estimation

Modulated signals used in telecommunication are cyclostationary. This property can be exploited to improve the direction of arrival (DOA) estimation performance. In this work, we propose an improved cyclic beamforming algorithm exploiting cyclostationarity. The proposed method exploits the information of both cyclic correlation matrix and cyclic conjugate correlation matrix with different cyclic frequencies. Compared with the existing methods, the simulation results show that proposed method improves substantially the signal selectivity; also it allows an increase in resolution power.     

Data-aided linear fitting blind phase estimation method for coherent optical OFDM system

In this paper, a novel data-aided linear fitting-based (DALF-based) blind phase estimation method for coherent optical orthogonal frequency-division multiplexing (CO-OFDM) is proposed. Similar to our previous work done in the pilot-based blind phase estimation method, the pilot subcarriers are used to transmit unknown amplitude modulation signals in order to improve spectral efficiency. But the so-called pilot subcarriers can be reduced to only two in the DALF-based method, while the conventional pilot-aided-based (PA-based) method requires almost four real pilot subcarriers. A performance comparison of the conventional PA-based and DALF-based phase estimation methods has been demonstrated through a 16-QAM CO-OFDM simulation. The results show that the performance of the proposed DALF-based method is better than the conventional one with higher SE and has the potential in the large capacity CO-OFDM systems.     

A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps

A phase map can be obtained from the real and imaginary components of a complex valued magnetic resonance (MR) image. Many applications, such as MR phase velocity mapping and susceptibility mapping, make use of the information contained in the MR phase maps. Unfortunately, noise in the complex MR signal affects the measurement of parameters related to phase (e.g, the phase velocity). In this paper, we propose a nonlocal maximum likelihood (NLML) estimation method for enhancing phase maps. The proposed method estimates the true underlying phase map from a noisy MR phase map. Experiments on both simulated and real data sets indicate that the proposed NLML method has a better performance in terms of qualitative and quantitative evaluations when compared to state-of-the-art methods.     

rried out. The Lagrange multipliers are

boundary conditions. A cell structure which is independent to the nodes is used to evaluate the integrals of EFG     

An efficient phase and object estimation scheme for phase-diversity time series data

We present a two-stage method for obtaining both phase and object estimates from phase-diversity time series data. In the first stage, the phases are estimated for each time frame using the limited memory BFGS method. In the second stage, an algorithm that incorporates a nonnegativity constraint as well as prior knowledge of data noise statistics is used to obtain an estimate of the object being observed. The approach is tested on real phase-diversity data with 32 time frames, and a comparison is made between it and a previously developed approach. Also, the image deblurring algorithm in stage two is tested against other standard methods and is shown to be the best for our problem.     

一种用于分析条纹图案的自动相位测量法

本文提出一种以离散余弦变换(DCT)为基础的自动相位测量方法并以实验和模拟运算进行验证。     

Novel bidirectional propagation method for quadratic nonlinearmultilayers

A bidirectional beam propagation method, able to describe light propagation in multilayered structures with second-order nonlinearities, is proposed. The developed numerical scheme is then applied for the modeling of second harmonic generation in periodic structures     

块匹配运动估计的一种改进方法

给出一种基于块匹配的运动估计新方案,该方案采用了相关搜索算法。实验结果表明在基于全搜索或快速搜索运算时,该方案都可获得与改进前块匹配估计方法几乎相同的估计效果,而计算复杂度却大大降低。     

An Eckart-weighted adaptive time delay estimation method

A new proposal for the Eckart-weighted adaptive time delay estimation is reported. The performance is analyzed, and the results of computer simulation are given. The theoretical analysis and computer simulation show that this method is highly precise in time delay estimation, and it does not depend on the knowledge of input signal and noises     

New coupling method for GaAs-laser?fibre coupling

A new method for coupling a diode laser to an optical fibre is described. This uses a cylindrical glass fibre as a focusing element. Optical feedback from the fibre endface has been found to have an influence on the laser output power. As a result, the light power launched into a single-mode fibre was higher than that obtainable from the laser during normal operation.