def _setup_specest(self):
"""Select the chosen estimator and configure it, add it into the flow
graph.
"""
options = self.options
specest_selector = {
'welch': lambda: specest.welch(options.fft_len, options.overlap,
options.ma_length, options.shift_fft,
options.window_type, options.window_param),
'welchsp': lambda: specest.welchsp(options.fft_len, options.overlap,
options.alpha, options.shift_fft,
options.window_type, options.window_param),
'burg': lambda: specest.burg(options.samples, options.fft_len,
options.order, options.shift_fft),
'fcov': lambda: specest.fcov(options.samples, options.fft_len,
options.order, options.shift_fft),
'fmcov': lambda: specest.fmcov(options.samples, options.fft_len,
options.order, options.shift_fft),
'esprit': lambda: specest.esprit(options.order, options.correlation_size,
options.samples, options.fft_len, 1),
'music': lambda: specest.music(options.order, options.correlation_size,
options.samples, options.fft_len, 1),
'mtm': lambda: specest.mtm(options.fft_len, options.timebandwidthproduct,
options.n_tapers, options.weight_method,
options.shift_fft)}
self.specest = specest_selector[options.method]()
if self.options.verbose:
verbose_output_estimator(options)
def _setup_specest(self):
options = self.options
specest_selector = {
'welch': lambda: specest.welch(options.fft_len, options.overlap, options.ma_length, options.shift_fft,
options.window_type, options.window_param),
'burg': lambda: specest.burg(options.samples, options.fft_len, options.order, options.shift_fft),
'fcov': lambda: specest.fcov(options.samples, options.fft_len, options.order, options.shift_fft),
'fmcov': lambda: specest.fmcov(options.samples, options.fft_len, options.order, options.shift_fft),
'esprit': lambda: specest.esprit(options.sinusoids_count, options.correlation_size, options.samples, options.fft_len, 1),
'music': lambda: specest.music(options.sinusoids_count, options.correlation_size, options.samples, options.fft_len, 1),
'mtm': lambda: specest.mtm(options.fft_len, options.timebandwidthproduct, options.n_tapers,
options.weight_method, options.shift_fft)}
self.specest = specest_selector[options.method]()
def _setup_specest(self):
"""Select the chosen estimator and configure it, add it into the flow
graph.
"""
options = self.options
specest_selector = {
'welch':
lambda: specest.
welch(options.fft_len, options.overlap, options.ma_length, options.
shift_fft, options.window_type, options.window_param),
'welchsp':
lambda: specest.welchsp(options.fft_len, options.overlap, options.
alpha, options.shift_fft, options.
window_type, options.window_param),
'burg':
lambda: specest.burg(options.samples, options.fft_len, options.
order, options.shift_fft),
'fcov':
lambda: specest.fcov(options.samples, options.fft_len, options.
order, options.shift_fft),
'fmcov':
lambda: specest.fmcov(options.samples, options.fft_len, options.
order, options.shift_fft),
'esprit':
lambda: specest.esprit(options.order, options.correlation_size,
options.samples, options.fft_len, 1),
'music':
lambda: specest.music(options.order, options.correlation_size,
options.samples, options.fft_len, 1),
'mtm':
lambda: specest.mtm(options.fft_len, options.timebandwidthproduct,
options.n_tapers, options.weight_method,
options.shift_fft)
}
self.specest = specest_selector[options.method]()
if self.options.verbose:
verbose_output_estimator(options)
def setup_block(self, shift_fft):
# FIXME 2x fft_size?
self.block = specest.esprit(self.sin_cnt, self.cor_size,
self.fft_size, self.fft_size, 1)
return (self.fft_size, self.fft_size)
