In order to classify the alertness status, 19 channels of electroencephalogram(EEG) signals from 5 subjects were acquired during daytime nap. Ten different types of features(including time domain features, frequency d...In order to classify the alertness status, 19 channels of electroencephalogram(EEG) signals from 5 subjects were acquired during daytime nap. Ten different types of features(including time domain features, frequency domain features and nonlinear features) were extracted from EEG signals, and an improved self-organizing map(ISOM) neuron network was proposed, which successfully identify three different brain status of the subjects: awareness, drowsiness and sleep. Compared with traditional SOM, the experiment results show that the ISOM generates much better classification accuracy, reaching as high as 89.59%.展开更多
This paper presents a 10bit 100MS/s CMOS pipelined analog-to-digital converter （ADC） based on an improved 1.5bit/stage architecture. The ADC achieves a peak signal-to-noise-and-distortion ratio （SNDR） of 57dB and ...This paper presents a 10bit 100MS/s CMOS pipelined analog-to-digital converter （ADC） based on an improved 1.5bit/stage architecture. The ADC achieves a peak signal-to-noise-and-distortion ratio （SNDR） of 57dB and maintains 51dB up to 57MHz, the Nyquist frequency for a clock rate of 100Msample/s. The differential non-linearity （DNL） and integral non-linearity （INL） are typically measured as 0.3LSB and 1.0LSB, respectively. The ADC is implemented in a 0.18μm mixed-signal CMOS technology and occupies 0.76mm^2.展开更多
基金Supported by National Natural Science Foundation of China(No.51007063)
文摘In order to classify the alertness status, 19 channels of electroencephalogram(EEG) signals from 5 subjects were acquired during daytime nap. Ten different types of features(including time domain features, frequency domain features and nonlinear features) were extracted from EEG signals, and an improved self-organizing map(ISOM) neuron network was proposed, which successfully identify three different brain status of the subjects: awareness, drowsiness and sleep. Compared with traditional SOM, the experiment results show that the ISOM generates much better classification accuracy, reaching as high as 89.59%.
基金supported by the Research and Development Fund for the Applied Materials of Shanghai City(No.07SA16)~~
文摘This paper presents a 10bit 100MS/s CMOS pipelined analog-to-digital converter （ADC） based on an improved 1.5bit/stage architecture. The ADC achieves a peak signal-to-noise-and-distortion ratio （SNDR） of 57dB and maintains 51dB up to 57MHz, the Nyquist frequency for a clock rate of 100Msample/s. The differential non-linearity （DNL） and integral non-linearity （INL） are typically measured as 0.3LSB and 1.0LSB, respectively. The ADC is implemented in a 0.18μm mixed-signal CMOS technology and occupies 0.76mm^2.
