186 def noised_sine_wave(frequency, rate, noise_level):  argument
190     @param rate: Sampling rate.
197     for index in range(0, rate * 2):
198         sample = 2.0 * math.pi * frequency * float(index) / float(rate)
226 def noise_level(amplitude, frequency, rate, teager_value_of_input):  argument
237     @param rate: Sampling rate.
250     standard_wave = noised_sine_wave(frequency, rate, standard_noise)
270 def hilbert_analysis(signal, rate, block_size):  argument
274     @param rate: Sampling rate.
311     frequency = numpy.diff(phase) / (2.0 * numpy.pi) * rate
415                     rate, noise_amplitude_threshold):  argument
427     @param rate: Sampling rate
439     same_event_samples = rate * DEFAULT_SAME_EVENT_SECS
449         if ((start_index - rate * NEAR_SINE_START_OR_END_SECS) <= index and
450             (index < end_index + rate * NEAR_SINE_START_OR_END_SECS)):
455         if (float(index) / rate <=
458         if (float(length - index) / rate <=
466                 index_start_sec = float(index) / rate - APPEND_ZEROS_SECS
467                 index_end_sec = float(index + 1) / rate - APPEND_ZEROS_SECS
471             index_end_sec = float(index + 1) / rate - APPEND_ZEROS_SECS
478         if noise_time_point[i] < float(start_index) / rate - APPEND_ZEROS_SECS:
489                     rate,  argument
509     @param rate: Sampling rate
532     same_event_samples = rate * DEFAULT_SAME_EVENT_SECS
533     start_time = float(start_index) / rate - APPEND_ZEROS_SECS
534     end_time = float(end_index) / rate - APPEND_ZEROS_SECS
538         now_time = float(index) / rate - APPEND_ZEROS_SECS
561                 index_start_sec = float(index) / rate - APPEND_ZEROS_SECS
562                 index_end_sec = float(index + 1) / rate - APPEND_ZEROS_SECS
567             index_end_sec = float(index + 1) / rate - APPEND_ZEROS_SECS
580                     rate,  argument
600     @param rate: Sampling rate
619     same_event_samples = rate * DEFAULT_SAME_EVENT_SECS
625         if abs(index - start_index) < rate * NEAR_START_OR_END_SECS:
627         if abs(index - end_index) < rate * NEAR_START_OR_END_SECS:
645                 burst_time_points.append(float(index) / rate - APPEND_ZEROS_SECS)
653                               rate,  argument
669     @param rate: Sampling rate
693     same_event_samples = rate * DEFAULT_SAME_EVENT_SECS
701         if float(abs(start_index - index)) / rate < NEAR_START_OR_END_SECS:
703         if float(abs(end_index   - index)) / rate < NEAR_START_OR_END_SECS:
718                 changing_time.append(float(index) / rate - APPEND_ZEROS_SECS)
726                 changing_time.append(float(index) / rate - APPEND_ZEROS_SECS)
741         signal, rate,  argument
758     @param rate: Sampling rate
818     block_size = int(block_size_secs * rate)
820     signal = numpy.concatenate((numpy.zeros(int(rate * APPEND_ZEROS_SECS)),
822                                 numpy.zeros(int(rate * APPEND_ZEROS_SECS))))
827     amplitude, frequency = hilbert_analysis(signal, rate, block_size)
831         dominant_frequency = audio_analysis.spectral_analysis(signal, rate)[0][0]
857                   float(start_index) / rate - APPEND_ZEROS_SECS,
858                   float(end_index) / rate - APPEND_ZEROS_SECS)
868             rate,
875                              rate,
886                                         rate,
897             rate,
908                         rate,