关于未确定振动声源识别数据的数据选择和规范化
Laixu Jiang1, Jingqiao Liu1, Xin Jiang1
1Marine Design and Research Institute of China, Shanghai 200011, China.
Sensors (Basel, Switzerland)
|June 27, 2025
概括
近场声学全息 (NAH) 精度通过选择最佳全息点并使用压缩传感规范化来提高. 这种方法增强了振动声学系统分析,即使数据不确定.
科学领域:
- 声学和振动 声学和振动
- 信号处理 信号处理
- 计算力学 计算力学 计算力学
背景情况:
- 近场声学全息 (NAH) 对于振动声学系统分析至关重要.
- 在NAH中高精度往往需要过度确定全息图数据,限制实际应用.
- 过度确定数据可能会导致排名缺陷问题,损害准确性和稳定性.
研究的目的:
- 为了确定最佳的全息图点选择和规范化方法,以获得准确的NAH与未确定数据.
- 为了比较不同的数据排序和规范化技术在NAH的反向条件化.
- 通过模拟和实验验证一个用于逆转未确定NAH数据的最佳实践.
主要方法:
- 我们比较了三种数据选择方法:代丢弃,单数值监控和零填充.
- 评估了提霍诺夫规范化,贝叶斯规范化和数据压缩用于反向条件.
- 使用反向等效源方法与点激发的薄板进行数值测试.
主要成果:
- 对全息图点选择的有效独立性方法与压缩传感规范化相结合,显著减少了重建错误.
- 综合方法提高了模式保证标准 (MAC) 的值,表明改进了模式识别.
- 模拟和实验结果证实了建议的最佳实践的有效性.
结论:
- 有效的独立性数据选择和压缩传感规范化的结合对于未确定的NAH是最佳的.
- 这种综合技术提高了振动声学系统分析的准确性和稳定性.
- 这些发现为应用有限测量点的NAH提供了实际指南.
相关概念视频
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations
1.2K
Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
1.2K
Sinusoidal Sources
675
Direct current (DC) refers to an electric current that flows in a single direction, maintaining a constant polarity. This is in contrast to alternating current (AC), which periodically changes its direction and magnitude. AC forms the backbone of modern electricity transmission and distribution systems due to its efficient long-distance transmission capabilities.
In homes, the power supplies use sinusoidal sources to provide electricity. These sources generate a voltage that varies sinusoidally...
In homes, the power supplies use sinusoidal sources to provide electricity. These sources generate a voltage that varies sinusoidally...
675
Determination of Expected Frequency
2.3K
Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
2.3K
Classification of Signals
915
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
915
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
729
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
On...
729
Instrument Calibration
277
Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
277


