摘要翻译：
首次对现代运算放大器ADA4898-2的交叉频率累积分布函数进行了实验研究。利用USB锁相放大器，我们测量了200个ADA4898-2运放样本的交叉频率，该放大器允许对具有显著静态放大的同相放大器的电流响应进行自动扫频。这种新方法在各运算放大器的研究精度和速度上都有明显的优势。我们使用的理论是基于时间相关的输出和输入电压之间的普遍关系。对于所有运算放大器，这种共同的关系式适用于远小于交叉频率和非主极点频率的频率。换句话说，当一个运算放大器包含在一个具有显著放大的电路中时，这种近似是足够的。
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英文标题：
《Probability distribution function of crossover frequency of operational
  amplifiers》
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作者：
Todor M. Mishonov, Vladimir G. Marinov, Victor I. Danchev, Emil G.
  Petkov, Aleksander P. Petkov, Iglika M. Dimitrova, Vassil N. Gourev, Nikola
  S. Serafimov, Aleksander A. Stefanov, and Albert M. Varonov
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最新提交年份：
2021
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Signal Processing        信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
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英文摘要：
  For the first time the cumulative distribution function of the crossover frequency of a contemporary operational amplifier ADA4898-2 is experimentally studied. Using a USB Lock-In amplifier, which allows automatic frequency sweep of the current response of a non-inverting amplifier with significant static amplification, we measure the crossover frequency of 200 samples of ADA4898-2 operational amplifiers. This new method gives a significant advantage in accuracy and speed of study of every operational amplifier. The theory we use is based on the universal relation between time dependent output and input voltages. This common relation for all operational amplifiers is applicable for frequencies much smaller than the crossover frequency and the frequencies of non-dominant poles. In other words, this approximation is adequate, when an operational amplifier is included in a circuit with significant amplification.
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PDF链接：
https://arxiv.org/pdf/1802.09342