用卷积滤波器matlab代码-NEU-Spring-2019:2019年Spring现代神经科学的程序设计和数据分析
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2021-05-21
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NEU-Spring-2019-master.zip （96个子文件） 
NEU-Spring-2019-master lecture_10_review 
review.pptx 831KB
.gitignore 1KB lecture_27_hmm single_channel.dat 1.62MB
hmm.png 94KB hmm.ipynb 2.18MB lecture_24_clustering 
mean-shift_single_window.gif 233KB mean-shift_many_windows.gif 690KB overlapping_gaussians.png 157KB
F3.large.jpg 179KB overlapping_gaussians2.png 566KB clustering.ipynb 2.07MB kmeans_EM.png 152KB 1D-Gaussian.png 18KB gmm.gif 114KB 2D-Gaussian.png 57KB sphx_glr_plot_cluster_comparison_0011.png 842KB hac.gif 209KB dbscan.gif 3.73MB sphx_glr_plot_kmeans_digits_0011.png 49KB lecture_17_multiple_linear_regression diabetes_nonstandardized.csv 18KB multiple_linear_regression.ipynb 1.71MB lecture_25_time_series acf_formula.jpg 44KB Convolution_of_spiky_function_with_box2.gif 76KB kernel_2of3.png 137KB time_series.ipynb 1.36MB convolution-equation1-2c.jpg 20KB Convolution_of_box_signal_with_itself2.gif 83KB convolution.png 34KB Comparison_convolution_correlation.png 60KB kernel_3of3.png 142KB Gimp-Edge.png 268KB RiverTrain-ImageConvDiagram.png 14KB sampleEEGdata.mat 14.36MB eeg_data.dat 8KB kernel_1of3.png 132KB Gimp-Blur.png 384KB lecture_18_regularization ridge_regression.ipynb 1.24MB lecture_21_python_oop python_oop.ipynb 20KB single_channel_nonactivated.dat 1.53MB LICENSE 1KB single_channel_activated.dat 1.53MB lecture_11_review review_ttest.pptx 785KB permutation_testing.ipynb 33KB permutation.pptx 283KB lecture_15_midterm_review midterm_review.pptx 290KB lecture_19_cross_validation cross_validation.ipynb 102KB cross_validation.pptx 3.45MB lecture_23_pca EEG_data.csv 4.59MB pca.ipynb 973KB lecture_07_hypothesis_testing hypothesis_testing.ipynb 103KB hypothesis_testing.pptx 20.64MB homework_04_hypothesis_testing_and_optimization.ipynb 24KB lecture_02_random_walk_lab img random_walk_2d.gif 5KB random_walk_1d.gif 4KB lecture_08_optimization optimization.ipynb 321KB README.md 10KB lecture_05_mle_bootstrap homework_03_problem_2_data.ipynb 2KB maximum_likelihood_and_bootstrap.ipynb 119KB MLE and Bootstrap Confidence Intervals.pptx 16.34MB homework_03_mle_bootstrap.ipynb 11KB lecture_01_intro matlab matlab_basics.m 8KB getSumAndProduct.m 92B Animal.m 400B Cat.m 450B numpy_basics.ipynb 121KB my_data.dat 235B python_basics.ipynb 34KB Intro to Programming.pptx 36.76MB img numpy_fancy_indexing.png 34KB numpy_broadcasting.png 105KB numpy_indexing.png 75KB ~$Intro to Programming.pptx 165B lecture_04_probability_distributions probability_distributions.ipynb 126KB ~$Probability Distributions.pptx 165B homework_02_probability_distributions.ipynb 3KB Probability Distributions.pptx 25.02MB lecture_12_linear_regression simple_linear_regression.pptx 3.63MB simple_linear_regression.ipynb 59KB lecture_22_more_python more_python.ipynb 34KB mymodule.py 746B xyz.py 323B myothermodule.py 197B heart.csv 11KB avg_eegs_uV.dat 325KB eeg.dat 8KB lecture_26_fourier square_sine_comps.png 11KB spectrogram.png 644KB fourier_comps_2d_2.png 439KB image_aliasing.png 4.4MB fourier.ipynb 2.54MB fourier_comps_2d.png 29KB lecture_20_nonparametric_regression knn_regression.pptx 2.7MB knn_regression.ipynb 32KB lecture_03_numpy_and_matplotlib basic_and_plotting_examples.ipynb 265KB homework_00_python_basics.ipynb 124KB lecture_06_review review.ipynb 16KB资源评论
