BERNOULLI SAMPLING

The concepts of the Bernoulli count process of a point process and Bernoulli sampling of a discrete parameter stochastic process are introduced. The Bernoulli count process determines the stochastic structure of the point process, and a process obtained by thinning a discrete parameter stochastic process by Bernoulli sampling satisfies the same property. Stationarity and the Markov property remain invariant under Bernoulli sampling.     

一种增益可调CMOS恒带宽单片放大器

基于电流跟随器和负反馈原理，并结合电流镜像与虚地技术，得到了一种具有不依赖于闭环电压增益的１２０ｋＨｚ～８ＭＨｚ恒定带宽，增益０～６０ｄＢ可调，最高稳定工作频率５ＭＨｚ，功耗５．２ｍＷ的高性能ＣＭＯＳ放大器，其ＳＰＩＣＥ模拟表明，该放大器电气性能优越，模拟结果与理论分析比较吻合；可采用３～５μｍ硅栅ＣＭＯＳ工艺技术单片化集成实现，并可望用于宽带视频放大等模拟信号处理领域。     

小波级数变换的一种离散小波变换算法

小波文献中，离散小波变换多由于带分解或拉普拉斯塔形分解等引出。本文从连续小波变换及小波级数变换出发，通过对采样过程的分析导出了离散小波变换的定义。离散小波变换是唯一便于Ｘ数值计算的小波变换，本文提出了一种以离散小波变换计算小波级数变换的算法，该算法较之Ｏ’Ｒｌｏｕｌ的类似算法相比，可取得更好的计算精度。     

单模光纤星型熔锥耦合器的研究

利用单模光纤阵列波导耦合模理信真推导并分析了3×3、4×4星型耦合器的耦合方程。实验中采用光纤熔锥耦合技术,研制成功了性能优良的星型单模光纤耦合器,其插入损耗小于0.4dB,分光比不均匀性小于15％。     

光纤放大器中的原子介质的折射率增强

本文用三能级原子模型描述双频场中光纤放大器的原子介质，讨论介质对弱探测场透明以及折射率增强。     

一种新型医用光纤压力传感系统的研究

设计制作了一种新型医用光纤压力传感系统。首次成功地用于齿科研究中对全口托牙基座与其下组织之间压强的测量,结果令人满意。文中重点讨论系统所用光纤压力传感器的数学模型、结构与特性。     

光纤技术在灵敏结构和皮肤中的应用

简介了近几年形成的“灵敏结构和皮肤”(Smart Structures and Skins)概念,介绍光纤技术在灵敏结构中的应用,提出光纤灵敏结构今后的几个主要研究课题。     

A generalization of discrete Weibull distribution

In this paper, we introduce a new family of discrete distributions and study its properties. It is shown that the new family is a generalization of discrete Marshall-Olkin family of distributions. In particular, we study generalized discrete Weibull distribution in detail. Discrete Marshall-Olkin Weibull distribution, exponentiated discrete Weibull distribution, discrete Weibull distribution, discrete Marshall-Olkin generalized exponential distribution, exponentiated geometric distribution, generalized discrete exponential distribution, discrete Marshall-Olkin Rayleigh distribution and exponentiated discrete Rayleigh distribution are sub-models of generalized discrete Weibull distribution. We derive some basic distributional properties such as probability generating function, moments, hazard rate and quantiles of the generalized discrete Weibull distribution. We can see that the hazard rate function can be decreasing, increasing, bathtub and upside-down bathtub shape. Estimation of the parameters are done using maximum likelihood method. A real data set is analyzed to illustrate the suitability of the proposed model.     

针对影像处理的快速二维离散余弦转换算法(英文)

由于离散余弦转换在影像处理领域之重要性与日俱增,且消耗许多处理器运算时间,所以众多快速二维离散余弦转换算法不断被发表。该文提出一个应用于JPEG及MPEG图像处理的快速二维8×8离散余弦转换算法,该算法主要运用基本的累加及移位运算,快速评估8×8影像区块的复杂程度,可调整离散余弦转换参数的计算数量。该算法只需花费少量硬件成本,如比较器、加法器、移位器,便可有效降低离散余弦转换运算时间,且在模拟结果显示所提出的算法与传统及整数离散余弦转换相比,可达到较快的运算速度,且在量化系数较大的情况下,可得到更好效果。     

Euler(p,q) Processes and Their Application to Non Stationary Time Series with Time Varying Frequencies

We introduce Euler(p, q) processes as an extension of the Euler(p) processes for purposes of obtaining more parsimonious models for non stationary processes whose periodic behavior changes approximately linearly in time. The discrete Euler(p, q) models are a class of multiplicative stationary (M-stationary) processes and basic properties are derived. The relationship between continuous and discrete mixed Euler processes is shown. Fundamental to the theory and application of Euler(p, q) processes is a dual relationship between discrete Euler(p, q) processes and ARMA processes, which is established. The usefulness of Euler(p, q) processes is examined by comparing spectral estimation with that obtained by existing methods using both simulated and real data.