Abstract: A method includes performing blind spectrum sensing of a frequency band to determine whether a primary user is using the frequency band. The blind spectrum sensing is based at least in part on a comparison between a detection statistic based on a maximum correlation coefficient and a detection threshold based on theoretical computation of a distribution of the detection statistic. The maximum correlation coefficient is for correlations between a plurality of signals corresponding to a plurality of snapshots taken by a cognitive radio of the frequency band and corresponding to a plurality of antennas used by the cognitive radio for taking the snapshots. The method includes determining whether to communicate using the frequency band based on whether the blind spectrum sensing indicates the frequency band is or is not used by the primary user. Apparatus and program products are disclosed.

Abstract: The invention belongs to the technical field of rapid solidification of amorphous alloy and concretely relates to an iron-based amorphous alloy broad ribbon, wherein the width is 220-1000 mm, the thickness is 0.02-0.03 mm, the transversal thickness deviation is smaller than +/?0.002 mm, the lamination factor is larger than 0.84, the saturation magnetic-flux density is larger than 1.5 T, the iron loss is smaller than 0.20 W/kg under the conditions that the frequency is 50 Hz and the maximum magnetic-flux density is 1.3 T, and the exciting power is smaller than 0.50 VA/kg. The invention also relates to a manufacturing method of the broad ribbon, and a single-roll quenching method is adopted, wherein the width of a nozzle slot is 0.4-0.7 mm, the transversal width deviation of the nozzle slot is smaller than +/?0.05 mm, the transversal flatness deviation of a cooling roll (4) is smaller than 0.02 mm, and the surface roughness Ra is smaller than 0.0005 mm.

Abstract: Pronunciation issues for synthesized speech are automatically detected using human recordings as a reference within a Speech Recognition Assisted Evaluation (SRAE) framework including a Text-To-Speech flow and a Speech Recognition (SR) flow. A pronunciation issue detector evaluates results obtained at multiple levels of the TTS flow and the SR flow (e.g. phone, word, and signal level) by using the corresponding human recordings as the reference for the synthesized speech, and outputs possible pronunciation issues. A signal level may be used to determine similarities/differences between the recordings and the TTS output. A model level checker may provide results to the pronunciation issue detector to check the similarities of the TTS and the SR phone set including mapping relations. Results from a comparison of the SR output and the recordings may also be evaluation by the pronunciation issue detector. The pronunciation issue detector outputs a list that lists potential pronunciation issue candidates.

Abstract: A method using drive test data for propagation model calibration includes: step 1, obtaining original drive test data; step 2, selecting the data from the drive test data according to predefined conditions as effective drive test data; and step 3, extracting the effective drive test data to form a data file used for propagation model calibration. An apparatus using drive test data for propagation model calibration includes: a drive test data obtaining module, configured to obtain the drive test data in the regions to be calibrated; an effective drive test data generation module, configured to generate effective drive test data from the drive test data according to predefined conditions; and a data file generation module, configured to extract the effective drive test data to form a data file used for propagation model calibration. The present invention utilizes drive test data of existing networks to largely decrease the CW test work and reduce the network building cost.