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FSSTn-master

于 2018-05-09 发布 文件大小:4231KB
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  一种新的瞬时频率估计方法，用到了同步压缩短时傅里叶变换的高阶形式(This MATLAB package is a collection of scripts allowing to generate figures in the paper [1]. This paper puts forward a generalization of the short-time Fourier-based Synchrosqueezing Transform using a new local estimate of instantaneous frequency. Such a technique enables not only to achieve a highly concentrated time-frequency representation for a wide variety of AM-FM multicomponent signals but also to reconstruct their modes with a high accuracy.)

文件列表：

FSSTn-master, 0 , 2017-06-29
FSSTn-master\LIGO_file, 0 , 2017-06-29
FSSTn-master\LIGO_file\fig1-observed-Hanford.txt, 173791 , 2017-06-29
FSSTn-master\LIGO_file\fig1-observed-Livingston.txt, 173932 , 2017-06-29
FSSTn-master\LIGO_file\fig1-residual-H.txt, 173766 , 2017-06-29
FSSTn-master\LIGO_file\fig1-residual-L.txt, 173900 , 2017-06-29
FSSTn-master\LIGO_file\fig1-waveform-H.txt, 173785 , 2017-06-29
FSSTn-master\LIGO_file\fig1-waveform-L.txt, 173724 , 2017-06-29
FSSTn-master\LIGO_file\fig2-unfiltered-waveform-H.txt, 173738 , 2017-06-29
FSSTn-master\README.md, 1078 , 2017-06-29
FSSTn-master\SST_compare-master, 0 , 2017-06-29
FSSTn-master\SST_compare-master\.directory, 60 , 2017-06-29
FSSTn-master\SST_compare-master\ConceFT, 0 , 2017-06-29
FSSTn-master\SST_compare-master\ConceFT\Conceft, 0 , 2017-06-29
FSSTn-master\SST_compare-master\ConceFT\Conceft\.gitignore, 31 , 2017-06-29
FSSTn-master\SST_compare-master\ConceFT\Conceft\CWTv5.m, 5552 , 2017-06-29
FSSTn-master\SST_compare-master\ConceFT\Conceft\ConceFT_CWT.m, 939 , 2017-06-29
FSSTn-master\SST_compare-master\ConceFT\Conceft\ConceFT_STFT.m, 1541 , 2017-06-29
FSSTn-master\SST_compare-master\ConceFT\Conceft\Morse, 0 , 2017-06-29
FSSTn-master\SST_compare-master\ConceFT\Conceft\Morse\analyt6.m, 603 , 2017-06-29
FSSTn-master\SST_compare-master\ConceFT\Conceft\Morse\laggen.m, 242 , 2017-06-29
FSSTn-master\SST_compare-master\ConceFT\Conceft\Morse\nyttcoh544.m, 5101 , 2017-06-29
FSSTn-master\SST_compare-master\ConceFT\Conceft\Morse\wscal55b.m, 846 , 2017-06-29
FSSTn-master\SST_compare-master\ConceFT\Conceft\Morse\wwhat.m, 475 , 2017-06-29
FSSTn-master\SST_compare-master\ConceFT\Conceft\dwindow.m, 1315 , 2017-06-29
FSSTn-master\SST_compare-master\ConceFT\Conceft\hermf.m, 850 , 2017-06-29
FSSTn-master\SST_compare-master\ConceFT\Conceft\imageSQ.m, 723 , 2017-06-29
FSSTn-master\SST_compare-master\ConceFT\Conceft\initstate.m, 299 , 2017-06-29
FSSTn-master\SST_compare-master\ConceFT\Conceft\sqCWTbase.m, 3920 , 2017-06-29
FSSTn-master\SST_compare-master\ConceFT\Conceft\sqSTFTbase.m, 5247 , 2017-06-29
FSSTn-master\SST_compare-master\ConceFT\Conceft\sqSTFTmultitaper.m, 1282 , 2017-06-29
FSSTn-master\SST_compare-master\ConceFT\Conceft\tftb_window.m, 4857 , 2017-06-29
FSSTn-master\SST_compare-master\ConceFT\README.md, 219 , 2017-06-29
FSSTn-master\SST_compare-master\ConceFT\slicedOT.m, 1809 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD, 0 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\.directory, 61 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\CHANGES.txt, 1070 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\DIRECTORY_LISTING.txt, 2179 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\EMD_DEFS.hpp, 1952 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\LICENSE.txt, 2011 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\Makefile, 2685 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\README.txt, 2513 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\cameraman.txt, 3791 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\compile_FastEMD.m, 1647 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\demo_FastEMD, 49042 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\demo_FastEMD.cpp, 8762 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\demo_FastEMD.o, 59368 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\demo_FastEMD1.m, 2399 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\demo_FastEMD2.m, 3410 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\demo_FastEMD3.m, 3712 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\demo_FastEMD4, 0 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\demo_FastEMD4\1.jpg, 75581 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\demo_FastEMD4\2.jpg, 154759 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\demo_FastEMD4\3.jpg, 73556 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\demo_FastEMD4\color_spatial_EMD_ground_distance.cxx, 10143 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\demo_FastEMD4\color_spatial_EMD_ground_distance.m, 3009 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\demo_FastEMD4\color_spatial_EMD_ground_distance.mexa64, 19065 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\demo_FastEMD4\color_spatial_EMD_ground_distance.mexglx, 12119 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\demo_FastEMD4\color_spatial_EMD_ground_distance.mexw32, 7680 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\demo_FastEMD4\color_spatial_EMD_ground_distance.mexw64, 12800 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\demo_FastEMD4\deltaE2000.hpp, 5179 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\demo_FastEMD4\demo_FastEMD4.m, 4786 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\demo_FastEMD_compute.m, 4039 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\demo_FastEMD_non_equal_size_histograms.m, 2190 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\demo_FastEMD_non_symmetric.m, 2352 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\emd_hat.hpp, 4478 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\emd_hat_check_mex.hxx, 4263 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\emd_hat_compute_mex.hxx, 6722 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\emd_hat_gd_metric_mex.cxx, 1958 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\emd_hat_gd_metric_mex.m, 3115 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\emd_hat_gd_metric_mex.mexa64, 112644 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\emd_hat_gd_metric_mex.mexglx, 0 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\emd_hat_gd_metric_mex.mexmaci64, 111260 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\emd_hat_gd_metric_mex.o, 152720 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\emd_hat_impl.hpp, 19167 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\emd_hat_mex.cxx, 1963 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\emd_hat_mex.m, 1781 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\emd_hat_mex.mexa64, 112634 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\emd_hat_mex.mexglx, 96020 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\emd_hat_mex.mexmaci64, 111260 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\emd_hat_mex.o, 152712 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\emd_hat_mex_nes.m, 2469 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\emd_hat_signatures_interface.hpp, 5648 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\flow_utils.hpp, 4294 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\java, 0 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\java\Makefile, 3610 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\java\compiled_emd_hat_native_libs, 0 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\java\compiled_emd_hat_native_libs\32, 0 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\java\compiled_emd_hat_native_libs\32\libemd_hat_native.so, 49689 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\java\compiled_emd_hat_native_libs\64, 0 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\java\compiled_emd_hat_native_libs\64\libemd_hat_native.so, 56037 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\java\compiled_emd_hat_native_libs\64\libemd_hat_native_win64.so, 1270471 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\java\demo_FastEMD.class, 1058 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\java\demo_FastEMD.java, 3614 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\java\emd_hat.class, 1850 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\java\emd_hat.java, 6973 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\java\emd_hat_native.cpp, 4063 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\java\emd_hat_native.hpp, 1976 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\java\javadoc, 0 , 2017-06-29
FSSTn-master\SST_compare-master\FastEMD\java\javadoc\allclasses-frame.html, 755 , 2017-06-29

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  • matlab
    阵列信号的处理，在阵列天线阵列中的DOA估计的经典算法(Array signal processing, antenna array in an array of classic DOA estimation algorithm)
    2011-08-25 20:04:22下载
    积分：1
  • NSCT融合
    说明：  主要用于图像融合。 NSCT融合有利于更好的保持图像的边缘信息和轮廓结构，增强图像的平移不变性。(It is mainly used for image fusion. NSCT fusion is conducive to better preserve the edge information and contour structure of the image, and enhance the translation invariance of the image.)
    2021-04-22 15:28:48下载
    积分：1
  • wavepage
    小波包分析提取振动信号中的分解，系数重构特征频率，以及能量谱分析计算(Wavelet packet analysis to extract the vibration signal decomposition coefficient reconstruction of the characteristic frequency, and calculate the energy spectrum analysis)
    2011-11-01 16:08:34下载
    积分：1
  • 全局阈值去噪
    比较了选取统一阈值和自己选取阈值，可以看出选取同一阈值去噪效果更好(You can see the benefits of a uniform threshold.)
    2021-04-26 15:18:45下载
    积分：1
  • 线性褶积
    说明：  可以将目标矩阵进行线性褶积运算，用于数字信号处理(The target matrix can be linearly convoluted for digital signal processing)
    2020-03-17 14:20:01下载
    积分：1
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    实现盲源信号的分离，在一个信号源中提取出有用的信号。(Blind source signal separation, in a signal source to extract useful signals.)
    2012-12-03 11:30:08下载
    积分：1
  • tztqzheng1
    EEG采集脑电波，然后用小波变换分析睁眼时产生脑电波的频率及各项数据(EEG brain waves collected and then analyzed using wavelet transform eyes when the frequency of brain waves generated and the data)
    2010-05-12 18:47:13下载
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    用卷积深度置信网络CDBN的方法来处理睡眠EEG;(use Convolutional deep belief networks to sleep EEG)
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    积分：1
  • ConstructWaveBaseFunction
    说明：  紧支撑小波基的构造。 以Daubechies小波滤波器系数为例，推导出小波函数及尺度函数，并画出其图像. void Convolution(double* pShortData, int nShort, double* pLongData, int nLong) int CalcScaleFunction(double* pOutData) int CalcWaveletFunction(double* pOutData) Convolution()不是通用的离散卷积代码，而是简单地实现了后面两个函数需要的离散卷积，它要求输入的前一个数组长度小于后一数组长度，而且卷积结果就直接覆盖存储在后一数组中。CalcScaleFunction()计算尺度函数，CalcWaveletFunction()计算小波函数。 (Compactly supported wavelet bases constructed. To Daubechies wavelet filter coefficients as an example, the derived wavelet function and scaling function, and draw their images. Void Convolution (double* pShortData, int nShort, double* pLongData, int nLong) int CalcScaleFunction (double* pOutData) int CalcWaveletFunction ( double* pOutData) Convolution () instead of generic discrete convolution code, but simply the realization of a function behind the need for two discrete convolution, which requires input before an array length is less than the array length of the latter, but the result of convolution directly covered by the latter is stored in the array. CalcScaleFunction () calculated scaling function, CalcWaveletFunction () calculation of wavelet function.)
    2020-11-10 20:19:45下载
    积分：1
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