搜索资源列表
stft
- 时频分析，一个频率为100的正弦信号做WVD时频分析,做出图后有两个频率(100Hz和400Hz)-Time-frequency analysis, a sinusoidal signal with a frequency of 100 do WVD time-frequency analysis, make a diagram after the two frequencies (100Hz and 400Hz)
d3d2587f5741
- matlab 压缩包文件,基于时频分析的isar回波处理历程,基于时频分析的多分量现形调频信号处理- -matlab compressed package file, based on time-frequency analysis isar the echo processing history, based on time-frequency analysis of multi-component betray oneself FM signal processing-
time-frequency-matlab-toolbox
- matlab的时频分析工具箱，希望在对信号的分析上可以帮助到大家。-the time-frequency analysis matlab toolbox, hope that the analysis of the signal can help to everyone.
exam_fourier
- 用傅里叶变换对地震信号进行时频分析，通过修改参数可以深刻的认识傅里叶变换在时频分析中的意义，适合地震信号研究的初学者。-Fourier transform of the seismic signal frequency analysis, parameter changes can be profound understanding of Fourier transform in the time-frequency analysis of significance for the seismi
tftb2002toolbox
- matlab时频分析数据包，用于信号分析处理-matlab time-frequency analysis data packets for signal analysis and processing
tfrwv
- 能够实现信号的魏格纳分布变换，对信号进行时频分析-Signal Wigner transform, time-frequency analysis of the signal
tfrstft
- 计算信号的短时傅里叶变换，对信号进行时频分析-Calculate signal short-time Fourier transform, the signal time-frequency analysis
package_emd
- 经验模态分解emd，HIlbert变换工具箱，用以处理非线性非平稳信号，时频分析。-Empirical mode decomposition emd Hilbert transform toolbox for nonlinear and non-stationary signals, time-frequency analysis.
chapter1
- 张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。 -Zhang Defeng matlab wavelet analysis source code
chapter2
- 张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。-Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction o
chapter3
- 张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。-Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction o
chapter4
- 张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。-Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction o
chapter5
- 张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。-Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction o
chapter6
- 张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。-Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction o
HHTaWT
- HHT变换对爆破信号的处理，可用于信号滤波，时频分析，简单易懂-HHT transform blasting signal processing, can be used for signal filtering, time-frequency analysis, easy to understand
Time-Frequency-Analysis
- 时频分析 包括常用几种信号的信号仿真 以及常用的时频分析算法-Time-Frequency Analysis
shipinfenxi
- 时频分析方法提供了时间域与频率域的联合分布信息，清楚地描述了信号频率随时间变化的关系。-Time-frequency analysis method provides a time-domain and frequency domain, the joint distribution of information that clearly describes the signal frequency versus time relationships.
wave-time-frequency
- 普通信号都是非线性信号，一般的傅里叶变换无法有效分析，这是利用小波变换方法进行的有效时频分析方法-Common signals are non-linear signal, generally can not be effectively Fourier transform analysis, which is carried out using wavelet transform time-frequency analysis method for the effective
signaltoolbox-0.2
- matlab时频分析工具箱 time-frequency analysis toolbox 第二代，比第一代增加了许多信号处理的函数，有些函数进行了功能的增进。使用的时候，解压到MATLAB安装目录的toolbox目录下，并在matlab中将其添加到搜索路径中使用。-time-frequency analysis toolbox matlab second generation than the first generation adds many signal processing funct
LFMdetection
- LFM信号及回波的生成，时域及频谱分析，模糊度函数分析，时频分析，匹配滤波器能量检测、循环相关检测、及fmusic参数估计-LFM signal and the echo generation, time domain and spectral analysis, ambiguity function analysis, time-frequency analysis, the matched filter energy detection, loop correlation detection