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相关概念视频

Aliasing01:18

Aliasing

136
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
136
Upsampling01:22

Upsampling

236
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
236
Sampling Theorem01:15

Sampling Theorem

337
In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
337
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

195
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
195
Downsampling01:20

Downsampling

157
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
157
NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

695
When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
695

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增强速度的分散补偿方法与亚尼奎斯特采样.

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    本研究介绍了一种使用子尼奎斯特采样的快速散射补偿方法,以提高在动态组织中发光光线的波纹成形速度. 该技术显著减少了测量,提高了成像速度和精度.

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    科学领域:

    • 生物医学光学 生物医学光学
    • 光学工程是指光学工程.
    • 组织光学 组织光学

    背景情况:

    • 在的,动态的组织中,精确的光传递需要快速的散射补偿.
    • 目前的方法受到缓慢调制速度的限制,原因是信号频率通道未得到充分利用,以及过度的测量.

    研究的目的:

    • 开发一种使用亚尼奎斯特采样的快速散射补偿方法.
    • 为了提高通道利用率,提高光输送的波面成形速度.

    主要方法:

    • 实施了波面成形的亚尼奎斯特采样策略.
    • 减少了分散补偿所需的测量次数.
    • 利用基于反的系统进行快速补偿.

    主要成果:

    • 在32x32自由度的测量中实现了显著的测量减少到大约1500个.
    • 展示了焦点的高PBR (点对背景比率),达到大约200.
    • 通过不同厚度的大脑组织切片成功聚焦光线.

    结论:

    • 开发的亚尼奎斯特采样方法可以快速塑造波面和分散补偿.
    • 这种技术提高了调制速度和通道利用率,用于在生物组织中输送光.
    • 该系统显示了需要精确光聚焦在动态散射介质中的应用的潜力.