相关实验视频
Updated: Jun 23, 2025

07:36
Studying Cavitation Enhanced Therapy
Published on: April 9, 2021
5.2K
降噪算法可能无法弥补由宽动态范围压缩引起的输出信号噪声比的退化
Donghyeon Yun1, Jennifer Lentz1, Yi Shen2
1Department of Speech, Language and Hearing Sciences, Indiana University Bloomington.
American journal of audiology
|June 14, 2024
概括
助听器中的广动态范围压缩 (WDRC) 显著影响非线性效应,特别是在低输入信号噪声比 (SNR) 时. 联合WDRC和降噪 (NR) 的有效性取决于WDRC参数和输入条件.
科学领域:
- 听力学 听力学是指听力学.
- 信号处理 信号处理
- 助听器技术 助听器技术
背景情况:
- 现代助听器 (HA) 使用宽动态范围压缩 (WDRC) 和降噪 (NR) 算法.
- 已知但尚未完全理解WDRC和NR对输出信号噪声比 (SNR) 的非线性影响.
- 对于WDRC和NR对这些非线性效应的相对贡献需要进一步研究.
研究的目的:
- 确定WDRC或NR算法是否对数字助听器的非线性效应产生更大的影响.
- 评估NR的电声效率在不同的输入SNR和噪声条件下是否受到WDRC参数的调制.
主要方法:
- 连接语音测试句子在多语者喋喋不休的噪音中被用于各种输入SNR (-10到+10 dB).
- 听力助听器被编程为国家声学实验室的非线性HA适配公式2 (NL2) 规范性适配,具有NR启用或禁用.
- 使用相位逆转技术测量了输出SNR;计算了助听器语音可理解性指数 (HASpI) 和助听器语音质量指数 (HASpQI).
主要成果:
- 发现WDRC在低输入SNR时主导非线性效应;在高输入SNR时,联合非线性效应下降.
- NR的有效性受到WDRC压缩参数的影响.
- HASpI和HASpQI趋势部分解释了NR的有效性,这表明这些指标捕捉了超出输出SNR的因素.
结论:
- 听力助听器中的单个信号处理阶段不应单独分析.
- 独立对WDRC和NR算法的电声学评估不足以理解它们的联合非线性影响.
相关概念视频
Upsampling
225
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...
225
Downsampling
149
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...
149
Reconstruction of Signal using Interpolation
191
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...
191
Reducing Line Loss
150
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
150
Difference from Background: Limit of Detection
6.3K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
The LOD indicates the presence or absence...
6.3K
Aliasing
128
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...
128

