相关实验视频
Updated: Jan 14, 2026

06:48
A Multimodal Wide-Field Fourier-Transform Raman Microscope
Published on: December 30, 2025
47
没有零填充的直接FFT过量采样.
Codrin Donciu1, Marinel Costel Temneanu1, Elena Serea2
1Faculty of Electrical Engineering, Technical University Gheorghe Asachi of Iasi, Iași, Iași, Romania.
Scientific reports
|October 24, 2025
概括
本研究引入了用于快速里埃转换 (FFT) 的直接过量采样方法,提高了光谱分析的准确性. 新技术实现了高分辨率,与传统的零填充相比,计算成本大大降低.
科学领域:
- 信号处理 信号处理
- 计算数学 计算数学 计算数学
背景情况:
- 快速里埃转换 (FFT) 对于时间变频域信号转换至关重要.
- 高精度的FT通常需要通过零填充进行频率过量采样,从而增加计算负载.
- 现有的方法面临着计算挑战,需要提高精度要求.
研究的目的:
- 为FT提出直接过量抽样方法.
- 为了实现高光谱分辨率,降低计算复杂度.
- 为零填充提供一个计算效率高的替代方案.
主要方法:
- 开发了一种针对FT的直接过量抽样技术.
- 在FFT内核中实现了非整数数量的循环.
- 通过直接计算过量采样的光谱点,避免了零填充.
主要成果:
- 直接过量抽样方法产生了数学上相当于零填充的FT的结果.
- 实现了计算复杂性的显著降低,从O (((Mlog2M) 到O (((Mlog2N).
- 证明了对高光谱分辨率分析的更有效的方法.
结论:
- 拟议的直接过量抽样方法提供了一个计算效率高的替代传统的FT过量抽样.
- 这种技术提供了相同的光谱分析准确度,而没有零填充的高计算成本.
- 能够实现需要高光谱分辨率且资源需求较低的高级信号处理应用.
相关概念视频
Upsampling
575
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...
575
Downsampling
598
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...
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
598
Sampling Theorem
1.3K
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.
1.3K
Fast Fourier Transform
886
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...
886
Aliasing
562
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...
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
562
Bandpass Sampling
470
In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
470

