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Statements

Subject Item
dbr:Generalized_spectrogram
rdfs:label
Generalized spectrogram 廣義頻譜圖
rdfs:comment
廣義頻譜圖（Generalized spectrogram），為頻譜圖的通用型。為了得知信號隨著時間的頻率分布狀態，以頻譜圖觀察時，其解析度受到測不準原理影響，頻率解析度與時間解析度相乘為定值。為解決此問題，於是將頻譜圖推廣至廣義頻譜圖。 一段隨時間變化的信號，同時具有時域和頻域的特徵，若想要了解一個信號在某段時間內的頻率特徵，最好的方式就是使用時頻分析，觀察一段信號的時頻分布圖。頻譜圖(Spectrogram)就是其中一種同時表示時間和頻率特徵的分布圖。 In order to view a signal (taken to be a function of time) represented over both time and frequency axis, time–frequency representation is used. Spectrogram is one of the most popular time-frequency representation, and generalized spectrogram, also called "two-window spectrogram", is the generalized application of spectrogram.
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dbc:Time–frequency_analysis
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1027304743
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dbr:Wigner_distribution_function dbr:Gabor_transform dbr:Spectrogram dbr:Dirac_delta_function dbc:Time–frequency_analysis dbr:Time–frequency_representation
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dbo:abstract
廣義頻譜圖（Generalized spectrogram），為頻譜圖的通用型。為了得知信號隨著時間的頻率分布狀態，以頻譜圖觀察時，其解析度受到測不準原理影響，頻率解析度與時間解析度相乘為定值。為解決此問題，於是將頻譜圖推廣至廣義頻譜圖。 一段隨時間變化的信號，同時具有時域和頻域的特徵，若想要了解一個信號在某段時間內的頻率特徵，最好的方式就是使用時頻分析，觀察一段信號的時頻分布圖。頻譜圖(Spectrogram)就是其中一種同時表示時間和頻率特徵的分布圖。 In order to view a signal (taken to be a function of time) represented over both time and frequency axis, time–frequency representation is used. Spectrogram is one of the most popular time-frequency representation, and generalized spectrogram, also called "two-window spectrogram", is the generalized application of spectrogram.
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wikipedia-en:Generalized_spectrogram