Many studies revealed unconscious effects on conscious processing. However, in this study, we tried to investigate whether unconscious processes could interact with each other by using simultaneously presented face pi...Many studies revealed unconscious effects on conscious processing. However, in this study, we tried to investigate whether unconscious processes could interact with each other by using simultaneously presented face pictures with the same or a different unconscious valence (SUV versus DUV). In the first event-related potential (ERP) study, DUV elicited a smaller N2 as compared with SUV. In the second functional magnetic resonance imaging (fMRI) experiment, the left middle frontal gyrus (MFG) was activated under DUV condition in comparison to SUV condition. These results support the idea of interactions between unconscious processes (unconscious mismatch detection). The theoretical implications are discussed in the light of the global neuronal workspace theory.展开更多
Event-related potential (ERP) studies demonstrated that emotional state immediately affects the processing of different linguistic mismatches (e.g., semantic and syntactic mismatches) in sentences. Furthermore, mood h...Event-related potential (ERP) studies demonstrated that emotional state immediately affects the processing of different linguistic mismatches (e.g., semantic and syntactic mismatches) in sentences. Furthermore, mood has been shown to impact discourse processing. In these studies, a strong expectancy was evoked by a linguistic context. In the present study, a strong expectancy was induced by a visual (non-linguistic) context paired with a sentence. A spatial array was followed by a sentence that matched (□○—The square stands in front of the circle) or mismatched the picture (intra-dimensional mismatch: □○—The square stands behind the circle;extra-dimensional mismatch: □○—The square stands above the circle). The main question was whether mood effects on the processing of visually induced expectancies are similar or different from mood effects on the processing of linguistically induced expectancies. To this aim, we presented conceptual (mis)matches that differed in saliency: intra-dimensional vs. extra-dimensional mismatches which are both reported to elicit an N2b/N400 and P600, reflecting reanalysis. EEG was recorded while participants read for comprehension. Mood (happy vs. sad) was effectively induced by film clips. Neither for N2b/N400 nor for P600, an interaction between mood and match was observed. Thus, in contrast with studies investigating the effects of pure linguistic mismatches (linguistic context paired with unexpected lexical item), mood did not modulate the processing of conceptual mismatches. However, a main effect of match revealed different ERP patterns for the two mismatches. While an increase in N2b/ N400 occurred for the intra-dimensional and extra-dimensional mismatches, a P600 only occurred to the extra-dimensional (more salient) mismatches. This finding is taken as support that being in an emotional state (positive or negative mood) influences processes of reanalysis. That is, when being in an emotional state, a reanalysis (monitoring) process is exclusively triggered by salient mismatches.展开更多
为提高零中频接收机中正交(in-phase quadrature,IQ)失配信号校正的收敛速度与鲁棒性,本文将Kalman滤波算法与盲源分离结构结合,提出了一种基于双通道Kalman滤波的校正算法。该算法通过状态空间建模与协方差自适应更新,能够在动态环境...为提高零中频接收机中正交(in-phase quadrature,IQ)失配信号校正的收敛速度与鲁棒性,本文将Kalman滤波算法与盲源分离结构结合,提出了一种基于双通道Kalman滤波的校正算法。该算法通过状态空间建模与协方差自适应更新,能够在动态环境下实现更高效、稳定的参数估计,从而实现对IQ失配信号的有效补偿。将本文算法与最小均方算法(least mean square,LMS)、归一化最小均方算法(normalized least mean square,NLMS)和仿射投影算法(affine projection algorithm,APA)进行对比仿真,结果显示,校正后信号的镜像抑制比(image rejection ratio,IRR)均达到约45 dB,但双通道Kalman滤波算法对应的IRR曲面图更加平滑,同时,16QAM和16PSK调制方式下该算法的误符号率最低,表明本文算法能够有效实现IQ失配校正,具有较好的稳定性。本文算法迭代约50次时,均方误差收敛趋近于0,而LMS、NLMS和APA算法则分别需要迭代约500次、400次和200次才能够收敛,表明该算法具有较好的收敛性。通过参数的敏感性仿真分析,在较大的参数范围内本文算法达到的IRR差别甚微,具有良好的鲁棒性。展开更多
文摘Many studies revealed unconscious effects on conscious processing. However, in this study, we tried to investigate whether unconscious processes could interact with each other by using simultaneously presented face pictures with the same or a different unconscious valence (SUV versus DUV). In the first event-related potential (ERP) study, DUV elicited a smaller N2 as compared with SUV. In the second functional magnetic resonance imaging (fMRI) experiment, the left middle frontal gyrus (MFG) was activated under DUV condition in comparison to SUV condition. These results support the idea of interactions between unconscious processes (unconscious mismatch detection). The theoretical implications are discussed in the light of the global neuronal workspace theory.
文摘Event-related potential (ERP) studies demonstrated that emotional state immediately affects the processing of different linguistic mismatches (e.g., semantic and syntactic mismatches) in sentences. Furthermore, mood has been shown to impact discourse processing. In these studies, a strong expectancy was evoked by a linguistic context. In the present study, a strong expectancy was induced by a visual (non-linguistic) context paired with a sentence. A spatial array was followed by a sentence that matched (□○—The square stands in front of the circle) or mismatched the picture (intra-dimensional mismatch: □○—The square stands behind the circle;extra-dimensional mismatch: □○—The square stands above the circle). The main question was whether mood effects on the processing of visually induced expectancies are similar or different from mood effects on the processing of linguistically induced expectancies. To this aim, we presented conceptual (mis)matches that differed in saliency: intra-dimensional vs. extra-dimensional mismatches which are both reported to elicit an N2b/N400 and P600, reflecting reanalysis. EEG was recorded while participants read for comprehension. Mood (happy vs. sad) was effectively induced by film clips. Neither for N2b/N400 nor for P600, an interaction between mood and match was observed. Thus, in contrast with studies investigating the effects of pure linguistic mismatches (linguistic context paired with unexpected lexical item), mood did not modulate the processing of conceptual mismatches. However, a main effect of match revealed different ERP patterns for the two mismatches. While an increase in N2b/ N400 occurred for the intra-dimensional and extra-dimensional mismatches, a P600 only occurred to the extra-dimensional (more salient) mismatches. This finding is taken as support that being in an emotional state (positive or negative mood) influences processes of reanalysis. That is, when being in an emotional state, a reanalysis (monitoring) process is exclusively triggered by salient mismatches.
文摘为提高零中频接收机中正交(in-phase quadrature,IQ)失配信号校正的收敛速度与鲁棒性,本文将Kalman滤波算法与盲源分离结构结合,提出了一种基于双通道Kalman滤波的校正算法。该算法通过状态空间建模与协方差自适应更新,能够在动态环境下实现更高效、稳定的参数估计,从而实现对IQ失配信号的有效补偿。将本文算法与最小均方算法(least mean square,LMS)、归一化最小均方算法(normalized least mean square,NLMS)和仿射投影算法(affine projection algorithm,APA)进行对比仿真,结果显示,校正后信号的镜像抑制比(image rejection ratio,IRR)均达到约45 dB,但双通道Kalman滤波算法对应的IRR曲面图更加平滑,同时,16QAM和16PSK调制方式下该算法的误符号率最低,表明本文算法能够有效实现IQ失配校正,具有较好的稳定性。本文算法迭代约50次时,均方误差收敛趋近于0,而LMS、NLMS和APA算法则分别需要迭代约500次、400次和200次才能够收敛,表明该算法具有较好的收敛性。通过参数的敏感性仿真分析,在较大的参数范围内本文算法达到的IRR差别甚微,具有良好的鲁棒性。
