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相关概念视频

Rectangular and Triangular Pulse Function01:19

Rectangular and Triangular Pulse Function

686
The unit rectangular pulse function is mathematically represented by a rectangular function centered at the origin with a height of one unit. This function is defined by two parameters: T, which specifies the center location of the pulse along the time axis, and τ, which determines the pulse duration.
For example, consider a rectangular pulse with a 5V amplitude, a 3-second duration, and centered at t=2 seconds. This pulse can be expressed using the rectangular function, written as,
686
Basic Discrete Time Signals01:16

Basic Discrete Time Signals

204
The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is...
204
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

243
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
243
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
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

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相关实验视频

Updated: Jul 2, 2025

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
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Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

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一个基于一般化的沃尔什变换的序列匹配过算法,用于处理矩形波信号.

Bin Li1, Sheng-Nan Zhang1, Jie Chen1

  • 1School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, People's Republic of China.

The Review of scientific instruments
|February 26, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了对多值矩形波信号的通用沃尔什变换,改善了超越传统沃尔什函数的信号频率匹配和频谱分析.

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Last Updated: Jul 2, 2025

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
11:00

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Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice
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科学领域:

  • 信号处理 信号处理
  • 应用数学 应用数学 应用数学

背景情况:

  • 传统的沃尔什函数仅限于二进制值 (+1, -1),限制它们分析复杂信号的能力.
  • 沃尔什函数具有适合捕获方形波信号频率的特性.

研究的目的:

  • 为处理多值矩形波信号提出一个通用的沃尔什变换算法.
  • 扩展传统沃尔什函数的功能,以进行增强的信号分析.

主要方法:

  • 在时间和序列领域推断了不变位移理论,以集中信号序列能量.
  • 通过结合周期矩形波的特征,构建了两种类型的通用沃尔什函数.
  • 推导直角性和完整性属性以验证频率匹配和能量提取.

主要成果:

  • 一般化的沃尔什函数展示了优越的信号频率匹配能力.
  • 拟议的方法有效地提取序列频谱振幅,用于有价值的信号表示.
  • 通过与多种过方法进行比较,证明了可靠性.

结论:

  • 一般化的沃尔什变换算法为分析多值矩形波信号提供了一个强大的方法.
  • 开发的通用Walsh函数在信号频率匹配和能量提取方面提供了增强的性能.
  • 这种方法推进了用于复杂波形分析的信号处理技术.