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相关概念视频

State Space to Transfer Function01:21

State Space to Transfer Function

303
The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
303
Transfer Function to State Space01:23

Transfer Function to State Space

404
State-space representation is a powerful tool for simulating physical systems on digital computers, necessitating the conversion of the transfer function into state-space form. Consider an nth-order linear differential equation with constant coefficients, like those encountered in an RLC circuit. The state variables are selected as the output and its n−1 derivatives. Differentiating these variables and substituting them back into the original equation produces the state equations.
In an...
404
Small-Signal Analysis of MOSFET Amplifiers01:23

Small-Signal Analysis of MOSFET Amplifiers

735
In small-signal analysis, a MOSFET transistor amplifier acts as a linear amplifier when operating in its saturation region. The gate-to-source voltage (VGS) of the MOSFET is the sum of the DC biasing voltage and the small time-varying input signal. This combination sets up the operating point and modulates the drain current (ID) that flows from the drain to the source. When a small AC signal is superimposed on the DC bias voltage at the gate, the instantaneous drain current comprises three...
735
Properties of Fourier Transform I01:21

Properties of Fourier Transform I

233
The application of Fourier Transform properties in radio broadcasting is multifaceted, enabling significant advancements in the way signals are transmitted and received. Key areas where these properties are utilized include simultaneous multi-channel transmission, audio clip speed adjustments, live broadcast delays for different time zones, audio frequency adjustments, and signal demodulation.
In radio broadcasting, multiple audio signals often need to be transmitted simultaneously. The Fourier...
233
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

131
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
131
Propagation Speed of Electromagnetic Waves01:30

Propagation Speed of Electromagnetic Waves

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Electromagnetic waves are consistent with Ampere's law. Assuming there is no conduction current Ampere's law is given as:
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相关实验视频

Updated: Sep 11, 2025

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
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基于FSO-MIMO系统的完全通用空间调制的性能分析.

Yuanyuan Gan, Minghong Wu, Yongkang Xiong

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    此摘要是机器生成的。

    本研究介绍了自由空间光学 (FSO) 系统的完全通用空间调制 (FGSM),改善了流道中的比特误差率 (BER) 和空间效率. 提出的索伦森相似性算法优化了天线的使用,提高了复杂的FSO环境中的性能.

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    相关实验视频

    Last Updated: Sep 11, 2025

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    科学领域:

    • 光学通信系统 光学通信系统
    • 无线通信技术无线通信技术
    • 信号处理 信号处理

    背景情况:

    • 光学空间调制 (OSM) 增强了自由空间光学 (FSO) 系统,但在复杂的通道中面临限制.
    • 比特错误率 (BER) 和空间资源利用率是FSO系统中关键的性能指标.

    研究的目的:

    • 提出一个完全通用的空间调制 (FGSM) -FSO系统,适应联合通道效应.
    • 分析系统参数对BER和空间效率的影响.
    • 在FGSM-FSO系统中引入一种优化天线利用的算法.

    主要方法:

    • 在联合通道效应下BER上限的导出 (大气动荡,指点错误,减弱).
    • 分析关键因素:天线数,调制顺序,流和指向错误强度.
    • 为自适应天线组合开发索伦森相似系数选择算法.

    主要成果:

    • 分析了FGSM-FSO系统的BER性能,考虑了联合通道损害.
    • 索伦森相似性算法有效地优化了天线选择,减少了复杂性,提高了BER和空间效率.
    • 优化发射机/接收机天线数和调制顺序进一步提高了FGSM-FSO的性能.

    结论:

    • 拟议的FGSM-FSO系统在具有挑战性的FSO环境中提供了增强的BER和空间资源利用.
    • 索伦森相似系数算法为自适应天线选择提供了一种有效的方法.
    • 与传统的FGSM相比,FGSM-FSO方案在各种流条件下表现出优越的性能.