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相关概念视频

Properties of Fourier Transform I01:21

Properties of Fourier Transform I

170
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...
170
Properties of Fourier Transform II01:24

Properties of Fourier Transform II

212
The Fourier Transform (FT) is an essential mathematical tool in signal processing, transforming a time-domain signal into its frequency-domain representation. This transformation elucidates the relationship between time and frequency domains through several properties, each revealing unique aspects of signal behavior.
The Frequency Shifting property of Fourier Transforms highlights that a shift in the frequency domain corresponds to a phase shift in the time domain. Mathematically, if x(t) has...
212
Time and frequency -Domain Interpretation of Phase-lag Control01:21

Time and frequency -Domain Interpretation of Phase-lag Control

90
Phase-lag controllers are widely used in control systems to improve stability and reduce steady-state errors. A dimmer switch controlling the brightness of a light bulb serves as a practical example of phase-lag control, gradually adjusting the bulb's brightness. Mathematically, phase-lag control or low-pass filtering is represented when the factor 'a' is less than 1.
Phase-lag controllers do not place a pole at zero, but instead influence the steady-state error by amplifying any...
90
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

81
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
81
Discrete-Time Fourier Series01:20

Discrete-Time Fourier Series

259
The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
259
Time and frequency -Domain Interpretation of Phase-lead Control01:24

Time and frequency -Domain Interpretation of Phase-lead Control

82
Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
82

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相关实验视频

Updated: Jun 28, 2025

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
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Published on: January 28, 2019

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在时间域中反光束形成.

Zvi Aharon Herscovici1, Israel Cohen1

  • 1Andrew and Erna Viterbi Faculty of Electrical & Computer Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel.

Sensors (Basel, Switzerland)
|April 13, 2024
PubMed
概括

这项研究引入了一种新的时间域反光束转换器,用于准确的实时源定位,通过改善到达方向和信号范围估计,提高自动化和人工智能,即使信号噪声比率低.

科学领域:

  • 信号处理 信号处理
  • 声学 声学 在声学上
  • 人工智能的人工智能

背景情况:

  • 实时源本地化对于先进的自动化和AI应用程序至关重要.
  • 低信号噪声比 (SNR) 和处理时间限制挑战了定位准确性.
  • 现有的方法可能无法满足高端系统的苛刻要求.

研究的目的:

  • 为实时源定位提出一个新的基于时间域反的光束转换器架构.
  • 为了估计反射源的到达方向 (DOA) 和信号范围.
  • 通过集成的反机制来提高定位精度.

主要方法:

  • 开发一种基于时间域反的新型光束转换器架构.
  • 对反射源的到达方向 (DOA) 和信号范围的估计.
  • 对拟议方法与传统时间域技术进行比较分析.

主要成果:

  • 拟议的架构有效地解决了实时处理需求.
  • 反机制显著提高了定位精度.
  • 使用峰值与侧叶比率,主叶宽度和导向因子的性能评估显示,光束变频器的有效性得到了改善.

结论:

关键词:
梁成型 梁成型 梁成型 梁成型源代码本地化 源代码本地化时间域处理时间域处理.统一的线性数组是一个统一的线性数组.

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  • 开发的时间域反束变频器为实时应用程序的定位精度提供了显著的改进.
  • 这种方法通过克服SNR和处理时间限制来提高自动化和AI系统的性能.
  • 反集成是光束成型的关键进步,用于精确定位源.