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信号预处理，提取PCG特征 sameple2016

于 2020-07-28 发布
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代码说明：

说明：  信号预处理，提取PCG特征，利用机器学习进行分类（含数据）(Signal preprocessing, PCG feature extraction, machine learning for classification (including data))

文件列表：

a0001.wav, 142708 , 2016-03-05
answers.txt, 2964 , 2020-06-13
AUTHORS.txt, 0 , 2016-02-20
butterworth_high_pass_filter.m, 2906 , 2016-02-06
butterworth_low_pass_filter.m, 2910 , 2016-02-06
challenge.m, 2400 , 2020-06-16
classifyFromHsIntervals.m, 2719 , 2016-03-01
default_Springer_HSMM_options.m, 1639 , 2016-02-27
expand_qt.m, 2231 , 2016-02-06
extractFeaturesFromHsIntervals.m, 5168 , 2020-06-15
generateValidationSet.m, 3070 , 2016-03-08
get_duration_distributions.m, 3838 , 2016-02-06
get_PSD_feature_Springer_HMM.m, 2514 , 2016-01-27
getDWT.m, 2523 , 2016-01-27
getHeartRateSchmidt.m, 3744 , 2016-02-27
getSpringerPCGFeatures.m, 2633 , 2020-06-15
Hilbert_Envelope.m, 1915 , 2016-01-27
Homomorphic_Envelope_with_Hilbert.m, 3501 , 2016-02-06
LICENSE.txt, 35147 , 2015-02-12
next.sh, 1040 , 2016-03-03
normalise_signal.m, 1457 , 2016-02-06
prepare-entry.sh, 794 , 2016-03-12
runSpringerSegmentationAlgorithm.m, 848 , 2020-06-15
schmidt_spike_removal.m, 4383 , 2016-02-06
score2016Challenge.m, 2521 , 2016-03-29
setup.sh, 445 , 2016-02-27
Springer_B_matrix.mat, 384 , 2016-02-24
Springer_pi_vector.mat, 197 , 2016-02-24
Springer_total_obs_distribution.mat, 347 , 2016-02-24
validation, 0 , 2016-03-19
validation\a0001.wav, 142708 , 2016-03-05
validation\a0002.wav, 83358 , 2016-03-05
validation\a0003.wav, 122924 , 2016-03-05
validation\a0004.wav, 142430 , 2016-03-05
validation\a0005.wav, 142708 , 2016-03-05
validation\a0006.wav, 83080 , 2016-03-05
validation\a0007.wav, 142708 , 2016-03-05
validation\a0008.wav, 143266 , 2016-03-05
validation\a0009.wav, 143266 , 2016-03-05
validation\a0010.wav, 142988 , 2016-03-05
validation\a0011.wav, 142430 , 2016-03-05
validation\a0012.wav, 123482 , 2016-03-05
validation\a0013.wav, 142708 , 2016-03-05
validation\a0014.wav, 142988 , 2016-03-05
validation\a0015.wav, 142988 , 2016-03-05
validation\a0016.wav, 123204 , 2016-03-05
validation\a0017.wav, 142708 , 2016-03-05
validation\a0018.wav, 83636 , 2016-03-05
validation\a0019.wav, 123482 , 2016-03-05
validation\a0020.wav, 142708 , 2016-03-05
validation\a0021.wav, 142430 , 2016-03-05
validation\a0022.wav, 144658 , 2016-03-05
validation\a0023.wav, 122368 , 2016-03-05
validation\a0024.wav, 82800 , 2016-03-05
validation\a0025.wav, 124596 , 2016-03-05
validation\a0026.wav, 142430 , 2016-03-05
validation\a0027.wav, 124596 , 2016-03-05
validation\a0028.wav, 123482 , 2016-03-05
validation\a0029.wav, 122924 , 2016-03-05
validation\a0030.wav, 144938 , 2016-03-05
validation\a0031.wav, 142430 , 2016-03-05
validation\a0032.wav, 142708 , 2016-03-05
validation\a0033.wav, 142708 , 2016-03-05
validation\a0034.wav, 122368 , 2016-03-05
validation\a0035.wav, 115974 , 2016-03-05
validation\a0036.wav, 143822 , 2016-03-05
validation\a0037.wav, 142988 , 2016-03-05
validation\a0038.wav, 138564 , 2016-03-05
validation\a0039.wav, 122924 , 2016-03-05
validation\a0040.wav, 142708 , 2016-03-05
validation\a0041.wav, 140480 , 2016-03-05
validation\a0042.wav, 144658 , 2016-03-05
validation\a0043.wav, 142430 , 2016-03-05
validation\a0044.wav, 122646 , 2016-03-05
validation\a0045.wav, 143544 , 2016-03-05
validation\a0046.wav, 142988 , 2016-03-05
validation\a0047.wav, 142430 , 2016-03-05
validation\a0048.wav, 144938 , 2016-03-05
validation\a0049.wav, 123482 , 2016-03-05
validation\a0050.wav, 122646 , 2016-03-05
validation\a0051.wav, 142430 , 2016-03-05
validation\a0052.wav, 142988 , 2016-03-05
validation\a0053.wav, 143544 , 2016-03-05
validation\a0054.wav, 142708 , 2016-03-05
validation\a0055.wav, 142708 , 2016-03-05
validation\a0056.wav, 123204 , 2016-03-05
validation\a0057.wav, 143822 , 2016-03-05
validation\a0068.wav, 142988 , 2016-03-05
validation\a0069.wav, 124040 , 2016-03-05
validation\a0070.wav, 123204 , 2016-03-05
validation\a0071.wav, 118562 , 2016-03-05
validation\a0080.wav, 124040 , 2016-03-05
validation\a0081.wav, 142708 , 2016-03-05
validation\a0085.wav, 123482 , 2016-03-05
validation\a0086.wav, 144938 , 2016-03-05
validation\a0088.wav, 144102 , 2016-03-05
validation\a0091.wav, 122646 , 2016-03-05
validation\a0093.wav, 122924 , 2016-03-05
validation\a0094.wav, 142708 , 2016-03-05
validation\a0102.wav, 142430 , 2016-03-05

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发表评论

0 个回复

  • lawmask
    statistical methods in order to extract image texture descriptors. In particular, we will focus on the Co-occurrence matrices and the Energy filters (Laws filters). They are well-known texture descriptors, fast and easy to implement and provide good results that could be used in a posterior step to perform image segmentation and object recognition.(statistical methods in order to extract image texture descriptors. In particular, we will focus on the Co-occurrence matrices and the Energyfilters (Laws filters). They are well-known texture descriptors, fast and easy to implement and provide good results that could be used in aposterior step to perform image segmentation and object recognition.)
    2008-01-26 23:28:29下载
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  • signal_processing
    用matlab编写的信号处理之QPSK调制与解调程序,均衡,OFDM仿真,小波变换,卡尔曼滤波等等14个程序源代码(Written by matlab signal processing of the QPSK modulation and demodulation process, a balanced, OFDM simulation, wavelet transform, Kalman filtering, etc. 14 source code)
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  • matlablvbo
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    2007-09-26 21:49:14下载
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