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相关概念视频

State Space Representation01:27

State Space Representation

523
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
523
State Space to Transfer Function01:21

State Space to Transfer Function

556
The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
556
Transfer Function to State Space01:23

Transfer Function to State Space

751
State-space representation is a powerful tool for simulating physical systems on digital computers, necessitating the conversion of the transfer function into state-space form. Consider an nth-order linear differential equation with constant coefficients, like those encountered in an RLC circuit. The state variables are selected as the output and its n−1 derivatives. Differentiating these variables and substituting them back into the original equation produces the state equations.
In an RLC...
751
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

682
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...
682
¹³C NMR: ¹H–¹³C Decoupling01:04

¹³C NMR: ¹H–¹³C Decoupling

1.7K
The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
1.7K
Time and frequency -Domain Interpretation of Phase-lag Control01:21

Time and frequency -Domain Interpretation of Phase-lag Control

385
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...
385

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相关实验视频

Updated: Jan 14, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

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一种音乐源分离方法,集成时间频率脱和基于mamba的状态空间建模.

Chongbin Zhang1, Jiaxiang Zheng2,3, Moxi Cao2,3

  • 1Department, Nanjing University of the Arts, Beijing West Road, Nanjing, 210008, Jiangsu, China. profchongbin@gmail.com.

Scientific reports
|October 16, 2025
PubMed
概括
此摘要是机器生成的。

这项研究介绍了MSNet,这是一个新的双路径状态空间模型,用于音乐源分离. 它以高效率实现了最先进的结果,在复杂的音频任务中超越现有方法.

关键词:
曼巴建筑 曼巴建筑音乐 音乐 音乐 音乐音乐源分离 音乐源分离国家空间建模.时间频率脱时间频率脱

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Infant Auditory Processing and Event-related Brain Oscillations
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相关实验视频

Last Updated: Jan 14, 2026

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Published on: May 8, 2021

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Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
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科学领域:

  • 智能音频处理 智能音频处理
  • 机器学习用于音乐信息检索

背景情况:

  • 现有的音乐源分离模型在结构适应性和平衡远程依赖与推理效率方面存在局限性.
  • 不同质的声音源和纠的时间频率表示对当前的分离技术构成重大挑战.

研究的目的:

  • 提出一种新的双路径状态空间建模架构,MSNet,用于先进的音乐源分离.
  • 为了解决当前音乐分离模型中的结构限制和效率挑战.

主要方法:

  • 开发了一种双路径状态空间架构 (MSNet),其时间和频率路径脱.
  • 集成基于Mamba的状态空间单元,用于多维结构分析音频信号.
  • 在时间频率建模中增强选择性控制和结构表示.

主要成果:

  • 在MUSDB18数据集上,MSNet在多个指标上实现了最先进的性能.
  • 对于复杂的声音源,如声乐和鼓声,表现出卓越的稳定性和稳定性.
  • 实现了低于0.1的实时系数 (RTF),表明实际适用性.

结论:

  • 状态空间模型可用于复杂的音频建模任务,如音乐源分离.
  • MSNet引入了一个新的架构范式,在音乐源分离中平衡准确性和效率.
  • 拟议的模型为实时音乐源分离应用提供了一个实用的解决方案.