相关实验视频
Updated: Jan 11, 2026

06:42
Generation and Coherent Control of Pulsed Quantum Frequency Combs
Published on: June 8, 2018
9.6K
可编程的光子处理器用于离散的分数里叶变换,分辨率为π/8级
Optics express
|November 11, 2025
概括
我们开发了一种可编程的处理器,用于使用可重新配置的光子电路进行离散分数里叶变换 (DFrFT). 这项创新使得可扩展的光信号处理能够用于时间频率分析等先进应用.
科学领域:
- 光子学是指光子学的使用方法.
- 光学信号处理 视觉信号处理
- 集成光学 集成光学 集成光学
背景情况:
- 分数里叶变换 (FrFT) 对于信号处理至关重要,但传统方法缺乏重新配置和整合性.
- 使用镜头系统或光纤阵列的现有实现是庞大而难以适应的.
研究的目的:
- 介绍一款新型可编程离散分数里叶变换 (DFrFT) 处理器.
- 通过实现动态重新配置和集成,克服传统FrFT实现的局限性.
主要方法:
- 设计了一个使用固定数组基本转换单元 (BTU) 的处理器,具有动态重新配置的架构.
- 杆 DFrFT 顺序加值来合成任意的 DFrFT 矩阵.
- 采用反向设计来创建四个BTU (π/8, π/4, π/2, π) 的高模拟保真率 (>0.995).
主要成果:
- 在数值分析中,通过16个转换序实现了组装的DFrFT矩阵的高保真性 (>0.989).
- 在光子平台上的实验结果显示了单个BTU保真度 (>0.85) 和组装的DFrFT保真度 (>0.8).
- 通过订单映射和制造耐受性分析确认了模块化,可重新配置和强度.
结论:
- 开发的处理器提供了一个可扩展和可编程的平台,用于集成光信号处理.
- 这种技术特别适用于光学计算中的时间频率转换和非静止信号分析.
- 该系统显示了未来光学计算系统的发展的巨大潜力.
相关概念视频
Time and frequency -Domain Interpretation of PI Control
386
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
386
Discrete-time Fourier transform
1.0K
The Discrete-Time Fourier Transform (DTFT) is an essential mathematical tool for analyzing discrete-time signals, converting them from the time domain to the frequency domain. This transformation allows for examining the frequency components of discrete signals, providing insights into their spectral characteristics. In the DTFT, the continuous integral used in the continuous-time Fourier transform is replaced by a summation to accommodate the discrete nature of the signal.
One of the notable...
One of the notable...
1.0K
Discrete Fourier Transform
835
The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
835
Fast Fourier Transform
867
The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
The computational efficiency of the FFT becomes...
867
Discrete-Time Fourier Series
642
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]...
For a discrete-time periodic signal x[n]...
642
Trigonometric Fourier series
724
Fourier series is a foundational mathematical technique that decomposes periodic functions into an infinite series of sinusoidal harmonics. This method enables the representation of complex periodic signals as sums of simple sine and cosine functions, facilitating their analysis and interpretation in various fields, including signal processing, acoustics, and electrical engineering.
The trigonometric Fourier series specifically expresses a periodic function with a defined period T using sine...
The trigonometric Fourier series specifically expresses a periodic function with a defined period T using sine...
724

