peaklet formation
峰斑形成
peaklets emerge
峰斑出现
peaklets appear
峰斑显现
peaklets fade
峰斑消退
peaking peaklet
正在形成峰斑
peaklet cluster
峰斑簇
peaklets multiply
峰斑增殖
peaklet growth
峰斑生长
peaked peaklet
已形成峰斑
peaklets merge
峰斑合并
the software analyzes the distribution of peaklets in the time domain.
该软件分析峰点在时域中的分布。
we observed several minor peaklets on the left side of the main spectrum.
我们在主谱的左侧观察到几个较小的峰点。
each peaklet corresponds to a specific resonance frequency in the sample.
每个峰点对应样品中的特定共振频率。
the algorithm automatically detects and filters out unwanted noise peaklets.
该算法自动检测并过滤掉不需要的噪声峰点。
overlapping peaklets must be resolved using deconvolution techniques.
重叠的峰点必须使用反卷积技术进行解析。
the height of these peaklets indicates the relative concentration of elements.
这些峰点的高度表明了元素的相对浓度。
researchers identified five distinct peaklets in the spectrogram data.
研究人员在频谱图数据中识别出五个不同的峰点。
narrow peaklets suggest a high-resolution measurement capability.
狭窄的峰点表明具有高分辨率的测量能力。
the baseline correction significantly improved the visibility of small peaklets.
基线校正显著提高了小峰点的可见性。
these peaklets usually appear during the initial phase of the reaction.
这些峰点通常在反应的初始阶段出现。
our model successfully predicted the position of hidden peaklets.
我们的模型成功预测了隐藏峰点的位置。
peaklet formation
峰斑形成
peaklets emerge
峰斑出现
peaklets appear
峰斑显现
peaklets fade
峰斑消退
peaking peaklet
正在形成峰斑
peaklet cluster
峰斑簇
peaklets multiply
峰斑增殖
peaklet growth
峰斑生长
peaked peaklet
已形成峰斑
peaklets merge
峰斑合并
the software analyzes the distribution of peaklets in the time domain.
该软件分析峰点在时域中的分布。
we observed several minor peaklets on the left side of the main spectrum.
我们在主谱的左侧观察到几个较小的峰点。
each peaklet corresponds to a specific resonance frequency in the sample.
每个峰点对应样品中的特定共振频率。
the algorithm automatically detects and filters out unwanted noise peaklets.
该算法自动检测并过滤掉不需要的噪声峰点。
overlapping peaklets must be resolved using deconvolution techniques.
重叠的峰点必须使用反卷积技术进行解析。
the height of these peaklets indicates the relative concentration of elements.
这些峰点的高度表明了元素的相对浓度。
researchers identified five distinct peaklets in the spectrogram data.
研究人员在频谱图数据中识别出五个不同的峰点。
narrow peaklets suggest a high-resolution measurement capability.
狭窄的峰点表明具有高分辨率的测量能力。
the baseline correction significantly improved the visibility of small peaklets.
基线校正显著提高了小峰点的可见性。
these peaklets usually appear during the initial phase of the reaction.
这些峰点通常在反应的初始阶段出现。
our model successfully predicted the position of hidden peaklets.
我们的模型成功预测了隐藏峰点的位置。
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