Some recent and new results on the maximum entropy distribution

This letter concerns the maximum entropy (ME) distribution proposed by Theil and Laitinen (1980); it summarizes some of the results obtained with this distribution and its explores the conditioning of the ME covariance matrix as the number of variables increases.     

矩形双脊波导特性阻抗的有限元分析

脊波导的特性阻抗是脊波导的重要参数之一。文章采用有限元法研究了双脊波导电压电流比定义的特称阻抗,计算了窄边与宽边比为0.5,脊的尺寸变化时的特性阻抗数据。分析可知,脊间距离越小时,其特性阻抗值越小,脊间距离s／d增大为0.9时,特性阻抗接近同比例的矩形波导。这些数据将为波导在工程中的设计应用提供理论基础和参考数据。     

多元协方差阵扰动模型岭估计的影响分析

本文研究了多元线性同归模型岭估计的影响分析问题.利用最小二乘估计方法,获得了多元协方差阵扰动模型与原模型参数阵之间的岭估计的一些关系式,给出了度量影响大小的基于岭估计的广义Cook距离.     

Automatic Feature Selection via Weighted Kernels and Regularization

Selecting important features in nonlinear kernel spaces is a difficult challenge in both classification and regression problems. This article proposes to achieve feature selection by optimizing a simple criterion: a feature-regularized loss function. Features within the kernel are weighted, and a lasso penalty is placed on these weights to encourage sparsity. This feature-regularized loss function is minimized by estimating the weights in conjunction with the coefficients of the original classification or regression problem, thereby automatically procuring a subset of important features. The algorithm, KerNel Iterative Feature Extraction (KNIFE), is applicable to a wide variety of kernels and high-dimensional kernel problems. In addition, a modification of KNIFE gives a computationally attractive method for graphically depicting nonlinear relationships between features by estimating their feature weights over a range of regularization parameters. The utility of KNIFE in selecting features through simulations and examples for both kernel regression and support vector machines is demonstrated. Feature path realizations also give graphical representations of important features and the nonlinear relationships among variables. Supplementary materials with computer code and an appendix on convergence analysis are available online.     

The single-longitudinal-mode operation of a ridge waveguide laser based on two-dimensional photonic crystals

An electrically driven, single-longitudinal-mode GaAs based photonic crystal (PC) ridge waveguide (RWG) laser emitting at around 850 nm is demonstrated. The single-longitudinal-mode lasing characteristic is achieved by introducing the PC to the RWG laser. The triangle PC is etched on both sides of the ridge by photolithography and inductive coupled plasma (ICP) etching. The lasing spectra of the RWG lasers with and without the PC are studied, and the result shows that the PC purifies the longitudinal mode. The power per facet versus current and current-voltage characteristics have also been studied and compared.     

Four distributed feedback laser array integrated with multimode-interference and semiconductor optical amplifier

Monolithic integration of four 1.55-μm-range InGaAsP/InP distributed feedback (DFB) lasers using varied ridge width with a 4×1-multimode-interference (MMI) optical combiner and a semiconductor optical amplifier (SOA) is demonstrated. The average output power and the threshold current are 1.8 mW and 35 mA, respectively, when the injection current of the SOA is 100 mA, with a side mode suppression ratio (SMSR) exceeding 40 dB. The four channels have a 1-nm average channel spacing and can operate separately or simultaneously.     

基于离散小波分解和频率脊线分析的CPM信号符号速率盲估计

非合作接收条件下,连续相位调制（CPM,Continuous Phase Modulation）信号多变未知的信号体制使其符号速率盲估计一直是分析该类信号的难点之一.现有的算法大多直接基于信号的瞬时频率或循环平稳性,存在抗噪性能差,不适用于多指数CPM信号等问题.针对该问题,本文通过分析小波变换在信号分解和时频分析中的优势,提出一种综合利用离散小波（DWT,Discrete Wavelet Transform）分解和频率脊线提取的CPM信号符号速率估计的新算法.算法对比分析表明,所提算法具有更好的抗噪性能且在小数据量时也能达到较好的估计性能.     

基于岭最小截平方的传感器稳健配准方法

传感器配准是多传感器数据融合系统获得性能优势的关键前提.受随机噪声、系统误差、虚警、漏报等因素的干扰,传感器配准常常工作在非理想关联环境中,依赖于理想关联假设的传统配准方法性能衰退严重.另一方面,传统传感器配准方法对目标分布场景敏感,当目标密集分布时,配准问题呈现病态性,估计结果数值不稳定.本文重点研究非理想关联及场景病态性共存时的传感器稳健配准问题,提出了系统误差的岭最小截平方（Ridge Least Trimmed Squares,RLTS）估计方法.该方法结合了岭回归（Ridge Regression,RR）与最小截平方（Least Trimmed Squares,LTS）估计的优点,能够有效应对错误关联及病态性的不良影响.仿真实验证实了所提方法的稳健性能.