非线性噪声放大器频谱畸变分析

本文研究了噪声放大器非线性特性造成的频谱畸变失真,讨论了随机过程通过非线性系统前后的二阶矩特性变化及其关系,导出了通用的非线性系统的输出随机过程相关函数及功率谱的求解公式,并结合具体例子计算了不同噪声强度情况下的输出功率谱,实测结果验证了理论分析的正确性,最后是文章的结论。     

扩频信号基于FFT码捕获的计算量分析

扩频通信技术中信号的捕获是扩频体制的关键.从快速捕获的角度出发,对传统捕获方法和基于FFT的快速捕获方法的原理进行了对比,并对不同捕获方法的计算量进行了分析和比较.获得基于FFT的循环相关捕获方法其计算量比传统方法少了3个数量级以上的结果.得到该方法在硬件实现中与传统滑动相关法相比大大节省了资源,减少了耗时的结论.     

一种粘滞阻尼体系阻尼矩阵识别新方法

由不同材料组成的混合结构,其阻尼矩阵不再满足与质量矩阵、刚度矩阵的比例关系,具有非比例特性。我国设计规范中常用的振型分解反应谱法是基于比例阻尼建立的,并不严格适用于计算非比例阻尼体系的地震作用效应。该文在基于等效黏性阻尼模型的复模态叠加法基础上,结合虚拟激励法和平稳随机理论,推导了基于等效黏性阻尼模型的反应谱CCQC(Complex Complete Quadratic Combination)法实数表达式,建立了一种解决非比例阻尼混合结构的地震作用效应计算问题的理论方法。算例分析表明：与基于分块Rayleigh阻尼模型的反应谱CCQC法相比,该文建立的基于等效黏性阻尼模型的反应谱CCQC法直接依赖于结构的质量、刚度和阻尼参数,不受振型组合的影响,具有计算结果唯一的优点,且仅涉及位移相关系数的计算;与基于能量法的反应谱CQC法相比,基于等效黏性阻尼模型的反应谱CCQC法可有效考虑结构的非比例特性,适用于非比例特性较强的混合结构。     

基于神经网络的开关磁阻电动机建模

针对常规的BP算法存在收敛速度慢,容易陷入局部最小值的缺点,提出了一种提高BP网络学习速度的方法,并基于BP神经网络建立了开关磁阻电动机磁特性Ψ(θ,i)模型.神经网络的参数是经过优化选择的,训练的时间和步数都大为减少,程序运行稳定,经过训练、识别、预测三重整定,具有很强的学习泛化能力,大大增强了系统的实时性和鲁棒性.该模型有助于进一步优化能量转换,减小转矩脉动.     

速调管发射机聚焦磁场电源的设计

介绍了以电流准谐振拓扑为基础的大功率速调管聚焦磁场电源的设计思路.分析了准谐振变换器的工作原理,给出了部分工作波形.最后给出了实际聚焦磁场电源主要参数的设计和器件的选择方法.     

Two milling time regimes in the evolution of magnetic anisotropy of mechanically alloyed soft magnetic powders

The milling time evolution of magnetic anisotropy of ball milled powders can be described considering two regimes. First, for short milling times, the main factor affecting the magnetic behavior of the alloy is the accumulation of internal stresses. Second, for long milling times, magnetic anisotropy can be explained using three contributions: long-range magnetoelastic, averaged short-range magnetoelastic and averaged magnetocrystalline anisotropies.     

Epoxy Ring Opening Phase Transfer as a General Route to Water Dispersible Superparamagnetic Fe3O4 Nanoparticles and Their Application as Positive MRI Contrast Agents

A novel and efficient method to produce water dispersible superparamagnetic Fe₃O₄ nanoparticles is described. Nanoparticles prepared by non‐hydrolytic organic phase methods are subsequently functionalized with (3‐glycidyloxypropyl)trimethoxysilane, a linker that prevents aggregation and is available for subsequent coupling reactions with a wide range of polymers and biomolecules. Ring opening coupling reactions were used to coat the epoxy‐functionalized magnetite nanoparticles with aminated polymers (polyetheramines) or small molecules (arginine). The resulting nanoparticles, with hydrodynamic size of 13 nm, are found to be very stable over extended periods in water or PBS due to the presence of a dense stabilizer layer covalently anchored to the surface. Exceptionally high spin‐lattice relaxivity, r₁, values of 17 s^?1 mM^?1, and low r₂/r₁ ratios of 3.3–3.8 were exhibited in the clinical MRI frequency range, irrespective of the molecule selected for nanoparticle stabilization. As a result the dispersions are excellent candidates for incorporation into multi‐functional assemblies or for use as positive contrast agent for MRI.     

Nuclear magnetic resonance analysis of protein–DNA interactions

Recent methodological and instrumental advances in solution-state nuclear magnetic resonance have opened up the way to investigating challenging problems in structural biology such as large macromolecular complexes. This review focuses on the experimental strategies currently employed to solve structures of protein–DNA complexes and to analyse their dynamics. It highlights how these approaches can help in understanding detailed molecular mechanisms of target recognition.     

火花源原子发射光谱法在线测定电工钢中的超低碳

采用火花源原子发射光谱分析测定电工钢中超低C,研究试样制备方法、Ar纯度和压力等条件对分析结果的影响,并对工作曲线进行了优化,实现了一次分析同时测定电工钢的多种元素,满足炉前和精炼在线分析的要求。