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2下载：
Matlab 时频分析工具箱，含短时傅立叶变换、Cohen类双线性时频处理函数、Affine类双线性时频处理函数、模糊函数和其他处理函数等源码，应该很有用。从6.5以后版本的matlab不自带，大家可以下载下来使用。-Matlab Toolbox time-frequency analysis, with short-time Fourier transform, Cohen category bilinear time-frequency processing function, Affine
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短时傅立叶变换(STFT)源代码,用语非稳态信号的时频联合描述,可直接用于matlab程序之中.无解压密码.-short-time Fourier transform (STFT) source code, the language of non-stationary signals to the joint time-frequency descr iption, Matlab can be used directly in procedures. No extract passwords.
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STFT 实现短时加窗 傅里叶 变换 分析
可用于跳频时频分析-STFT to achieve short time Fourier transform of windowed time-frequency analysis can be used for frequency hopping
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This code implements automatic gain control for audio signals, which attempts to apply a smoothly-varying gain to an audio waveform in order to keep its energy close to some target level. This version also tries to balance the energy in individual fr
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这是一个基于matlab的短时傅里叶变换时频分析工具箱2-This is a matlab-based short-time Fourier transform time-frequency analysis toolbox
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matlab 短时傅立叶变换的实现，用于学习，采用mesh画图-Matlab short-time Fourier transform to achieve for learning, the use of mesh drawing
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短时傅立叶变换matlab仿真程序（谐波信号）-Short-time Fourier transform matlab simulation program (harmonic signal)
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“Progressive Image Denoising”文章的matlab代码，通过双边滤波器逐次降低图像尺度，在不同尺度上进度去噪滤波。
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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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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，一图像的形式表达出，最终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 analysi
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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，以图像的形式表达出，最终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 analysi
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小波变换(wavelet transform，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。它的主要特点是通过变换能够充分突出问题某些方面的特征，能对时间(空间)频率的局部化分析，通过伸缩平移运算对信号(函数)逐步进行多尺度细化，最终达到高频处时间细分，低频处频率细分，能自动适应时频信号分析的要求，从而可聚焦到信号的任意细节，解决了
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内含详细中文说明的短时傅里叶变换程序，便于初学者应用(The short time Fourier transform program with detailed Chinese instructions is convenient for beginners.)
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处理肌电信号，得到短时傅里叶变化下的中值频率和肌肉激活度进行下一步的分析(The electromyography signal is processed, and the median frequency and muscle activation degree under the condition of short time Fourier transform are analyzed)
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滑动DFT实现短时傅里叶变换的matlab代码，包括正变换和逆变换，可极大提高时频分析的计算效率(Sliding DFT to realize short-time Fourier transform matlab code, including positive and inverse transforms, can greatly improve the efficiency of time-frequency analysis.)
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生成一个线性调频信号起始频率20mhz到60mhz'带宽为40mhz'的lfm
并进行短时傅里叶变换(Generate a LFM with a starting frequency of 20 MHz to 60 mhz'bandwidth of 40 mhz' for LFM signal
Short-time Fourier transform is performed.)
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短时傅里叶变换的MATLAB实现代码，有效完成时频分析(matlab implementation code of short-time Fourier transform to effectively complete time-frequency analysis)
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对信号进行短时傅里叶变换和小波变换，观察其时频特性，压缩包中含有需要用到的测试信号文件，可以直接运行，供参考(Carry out short-time Fourier transform and wavelet transform on the signal, observe its time-frequency characteristics, and the compression package contains the test signal files needed, which ca
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