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MATLAB短时傅里叶变换和morlet小波变换-short-time Fourier transform and morlet wavelet transform based on matlab
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短时傅里叶变化，有结果运行截图，适合初学者-Short-time Fourier transform, the results of running screenshots
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对语音信号预加重、分帧、加汉明窗处理，然后进行短时傅里叶变换，得出频谱-The speech signal pre emphasis framing, Hamming window, and then the short time Fourier transform, spectrum obtained
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小波变换（wavelettransform，WT）是一种新的变换分析方法，它继承和发展了短时傅立叶变换局部化的思想，同时又克服了窗口大小不随频率变化等缺点，能够提供一个随频率改变的“时间-频率”窗口，是进行信号时频分析和处理的理想工具。-Wavelet transform (WT) is a new transform analysis method, which inherits and develops the idea of localized short-time Fourier tra
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不同信噪比下LMF信号的短时傅里叶变换仿真-Short- time Fourier Transform Simulation of LMF Signal with Different Signal- to- Noise Ratio
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短时傅里叶变换，信号处理，轴承故障,时频分析工具-Short-time Fourier transform, signal processing, bearing failure，
Time-frequency analysis tool
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xiaobo.m小波变换方法处理时频信号
duanshifuliye.m短时傅里叶变换方法处理时频信号
three.m三次样条插值
newton.m牛顿迭代法
stokes.c斯托克斯波的生成-xiaobo.m（Wavelet transform method for processing time- frequency signals）
duanshifuliye.m（The short- time Fourier transform method deals with t
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短时傅立叶变换及其逆变换源程序，英文详细注释，希望对大家有所帮助。-source program of Short-time Fourier Transform and iSTFT，detailed notes in English. Hope will help you.
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一种短时傅里叶算法，对研究短时傅里叶和其他相关算法很有帮助-A short-time Fourier algorithm is useful for studying short-time Fourier and other related algorithms
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数字信号处理的视频分析中短时傅立叶变化STFT和连续小波变化-Digital signal processing of short time Fourier transform in video analysis STFT and continuous wavelet change
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数字信号处理的视频分析中短时傅立叶变化STFT和连续小波变化-Digital signal processing of short time Fourier transform in video analysis STFT and continuous wavelet change
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数字信号处理的视频分析中短时傅立叶变化STFT和连续小波变化-Digital signal processing of short time Fourier transform in video analysis STFT and continuous wavelet change
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Digital signal processing of short time Fourier transform in video analysis STFT and continuous wavelet change
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Short Time Fourier Transform
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利用工具箱实现短时傅里叶变换，并画出等高线图(program for short time Fourier transform using toolbox)
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采用MATLAB 2015b综合运用各种函数调用等来实现语音信号时域的短时能量，短时过零以及短时自相关函数分析和频域的傅里叶变换，功率谱估计，短时傅里叶变换，小波分析，语音信号的短时综合，语谱图各种分析，充分了解熟悉语音信号的相关分析方法。(This experiment uses the MATLAB 2015 b, the integrated use of various kinds of function call to realize speech signal in time dom
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对非平稳信号进行分段、截取，再做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征。(The non-stationary signals are segmented and intercepted, and then the short-time Fourier transform is used to analyze their frequency spectrum characteristics, and the frequency charact
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对非平稳信号进行分段、截取，将非平稳信号转化为平稳信号，再做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征。(The non-stationary signals are segmented and intercepted, and then the short-time Fourier transform is used to analyze their frequency spectrum characteristics, and the fre
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对非平稳信号进行分段、截取，再对处理过后的短时信号做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征。(The nonstationary signals are segmented, and then the interception, the short-time signal after processing the short-time Fourier transform, the analysis of the spectrum charac
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对非平稳信号进行分段、截取，再对处理过后的短时信号做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征，达到区分不同声音的目的。(The nonstationary signals are segmented, and then the interception, the short-time signal after processing the short-time Fourier transform, the analysis of the spe
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