当前位置: 首页>>代码示例>>Python>>正文


Python RawArray.filter方法代码示例

本文整理汇总了Python中mne.io.RawArray.filter方法的典型用法代码示例。如果您正苦于以下问题:Python RawArray.filter方法的具体用法?Python RawArray.filter怎么用?Python RawArray.filter使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在mne.io.RawArray的用法示例。


在下文中一共展示了RawArray.filter方法的1个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: preprocess_ts

# 需要导入模块: from mne.io import RawArray [as 别名]
# 或者: from mne.io.RawArray import filter [as 别名]
def preprocess_ts(ts_file,orig_channel_names_file,orig_channel_coords_file, h_freq, orig_sfreq, down_sfreq ,prefiltered = False):
    
    from mne.io import RawArray	
	
    from mne import create_info
	
    import os
    import numpy as np

    #### load electrode names
    elec_names = [line.strip() for line in open(orig_channel_names_file)]
	#print elec_names

	### save electrode locations
    elec_loc = np.loadtxt(orig_channel_coords_file)
	#print elec_loc

    ### no modification on electrode names and locations
    correct_elec_loc = elec_loc
    correct_elec_names = elec_names
    
    print len(correct_elec_names)
    print len(correct_elec_loc)
        
        
    ### save electrode locations	
    channel_coords_file = os.path.abspath("correct_channel_coords.txt")
    np.savetxt(channel_coords_file ,correct_elec_loc , fmt = '%s')
    
    	#### save electrode names
    channel_names_file = os.path.abspath("correct_channel_names.txt")
    np.savetxt(channel_names_file,correct_elec_names , fmt = '%s')

        

        ##### downsampling on data
    if orig_sfreq != down_sfreq:
    	
        ts = np.load(ts_file)
        
        print ts.shape
        
        
        raw = RawArray(ts, info = create_info(ch_names = elec_names, sfreq = orig_sfreq))
        
        indexes_good_elec = np.arange(len(elec_names))
        
        print indexes_good_elec
        
        if prefiltered == False:
            raw.filter(l_freq = None, h_freq = down_sfreq, picks = indexes_good_elec)

        raw.resample(sfreq = down_sfreq,npad = 100)
	
        downsampled_ts,times = raw[:,:]


        print downsampled_ts.shape
        
        
        downsampled_ts_file = os.path.abspath("downsampled_ts.npy")

        np.save(downsampled_ts_file,downsampled_ts)

        print raw.info['sfreq']
       
        return downsampled_ts_file,channel_coords_file,channel_names_file,raw.info['sfreq']
    
    else:
        print "No downsampling was applied as orig_sfreq and down_sfreq are identical"
        return ts_file,channel_coords_file,channel_names_file,orig_sfreq
开发者ID:davidmeunier79,项目名称:neuropype_ephy,代码行数:73,代码来源:preproc.py


注:本文中的mne.io.RawArray.filter方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。