Previous studies on idiom comprehension of patients with aphasia(PWAs)mainly focused on Indo-European speakers,examining whether PWAs could correctly extract the target meaning of idioms,while among Chinese PWAs,idiom...Previous studies on idiom comprehension of patients with aphasia(PWAs)mainly focused on Indo-European speakers,examining whether PWAs could correctly extract the target meaning of idioms,while among Chinese PWAs,idiom familiarity,context and other variables affecting idiom comprehension were rarely studied.Hence,this study aims to explore whether Chinese PWAs can correctly comprehend the target meaning of idioms,and further investigate the role of familiarity and context.For three Chinese PWAs,this study adopted the string-to-word matching task,taking Chinese four-character idioms as the experimental stimuli,and provided decoy words containing target meaning,literal meaning,unrelated abstract meaning and unrelated concrete meaning as the matching words of idiom items by manipulating the familiarity and contextual presence of idiom items.The results suggested that the PWAs could not correctly extract the target meaning of idioms and presented both the literal meaning tendency and the weak abstract meaning tendency,and the influence of familiarity on the comprehension of idioms was stronger than that of context.These results support the Graded Salience Hypothesis.展开更多
In order to reduce the pilot number and improve spectral efficiency, recently emerged compressive sensing （CS） is applied to the digital broadcast channel estimation. According to the six channel profiles of the Eur...In order to reduce the pilot number and improve spectral efficiency, recently emerged compressive sensing （CS） is applied to the digital broadcast channel estimation. According to the six channel profiles of the European Telecommunication Standards Institute（ETSI） digital radio mondiale （DRM） standard, the subspace pursuit （SP） algorithm is employed for delay spread and attenuation estimation of each path in the case where the channel profile is identified and the multipath number is known. The stop condition for SP is that the sparsity of the estimation equals the multipath number. For the case where the multipath number is unknown, the orthogonal matching pursuit （OMP） algorithm is employed for channel estimation, while the stop condition is that the estimation achieves the noise variance. Simulation results show that with the same number of pilots, CS algorithms outperform the traditional cubic-spline-interpolation-based least squares （LS） channel estimation. SP is also demonstrated to be better than OMP when the multipath number is known as a priori.展开更多
文摘Previous studies on idiom comprehension of patients with aphasia(PWAs)mainly focused on Indo-European speakers,examining whether PWAs could correctly extract the target meaning of idioms,while among Chinese PWAs,idiom familiarity,context and other variables affecting idiom comprehension were rarely studied.Hence,this study aims to explore whether Chinese PWAs can correctly comprehend the target meaning of idioms,and further investigate the role of familiarity and context.For three Chinese PWAs,this study adopted the string-to-word matching task,taking Chinese four-character idioms as the experimental stimuli,and provided decoy words containing target meaning,literal meaning,unrelated abstract meaning and unrelated concrete meaning as the matching words of idiom items by manipulating the familiarity and contextual presence of idiom items.The results suggested that the PWAs could not correctly extract the target meaning of idioms and presented both the literal meaning tendency and the weak abstract meaning tendency,and the influence of familiarity on the comprehension of idioms was stronger than that of context.These results support the Graded Salience Hypothesis.
基金The National Natural Science Foundation of China (No.60872075)the National High Technology Research and Development Program of China (863 Program) (No.2008AA01Z227)
文摘In order to reduce the pilot number and improve spectral efficiency, recently emerged compressive sensing （CS） is applied to the digital broadcast channel estimation. According to the six channel profiles of the European Telecommunication Standards Institute（ETSI） digital radio mondiale （DRM） standard, the subspace pursuit （SP） algorithm is employed for delay spread and attenuation estimation of each path in the case where the channel profile is identified and the multipath number is known. The stop condition for SP is that the sparsity of the estimation equals the multipath number. For the case where the multipath number is unknown, the orthogonal matching pursuit （OMP） algorithm is employed for channel estimation, while the stop condition is that the estimation achieves the noise variance. Simulation results show that with the same number of pilots, CS algorithms outperform the traditional cubic-spline-interpolation-based least squares （LS） channel estimation. SP is also demonstrated to be better than OMP when the multipath number is known as a priori.
