@verbose
def tfr_multitaper(inst, freqs, n_cycles, time_bandwidth=4.0, use_fft=True, return_itc=True, decim=1, n_jobs=1, picks=None, average=True, verbose=None):
 tfr_params = dict(n_cycles=n_cycles, n_jobs=n_jobs, use_fft=use_fft, zero_mean=True, time_bandwidth=time_bandwidth)
 return _tfr_aux('multitaper', inst, freqs, decim, return_itc, picks, average, **tfr_params)

@ verbose def tfr_multitaper ( inst , freqs , n_cycles , time_bandwidth = 4.0 , use_fft = True , return_itc = True , decim = 1 , n_jobs = 1 , picks = None , average = True , verbose = None ) : tfr_params = dict ( n_cycles = n_cycles , n_jobs = n_jobs , use_fft = use_fft , zero_mean = True , time_bandwidth = time_bandwidth ) return _tfr_aux ( 'multitaper' , inst , freqs , decim , return_itc , picks , average , ** tfr_params )
compute time-frequency representation using dpss tapers .