We analyzed the effect of colored noise on the negativity dynamics of a hybrid system consisting of a qubit-qutrit and not interacting,prepared from the start in an entangled one-parameter state and acting with noise ...We analyzed the effect of colored noise on the negativity dynamics of a hybrid system consisting of a qubit-qutrit and not interacting,prepared from the start in an entangled one-parameter state and acting with noise in local and non-local environments.In this pink and brown noise we investigated two different situations:in the first situation,the noise is produced by a bistable oscillator with an unknown exchange rate;however,in the second situation,the noise is generated by a set of bistable oscillators.We found that entanglement decreases with time to zero,and undergoes the phenomenon of sudden death and rebirth.The pink noise is more prone to entanglement than the brown noise and the non-local environment is more prone to entanglement than the local one.When the number of fluctuators is increased,entanglement decays faster and finally,for certain parameters of the initial state,the subsystems are not affected by the noise.展开更多
在电力系统中,准确有效地确定信号中的间谐波分量,对于改善电能质量有重要意义。研究了一种间谐波幅值和频率的估计算法--基于互高阶累积量的多信号分类法MUSIC(Multiple Signal Classification)方法,该方法可以有效地抑制非相关噪声和...在电力系统中,准确有效地确定信号中的间谐波分量,对于改善电能质量有重要意义。研究了一种间谐波幅值和频率的估计算法--基于互高阶累积量的多信号分类法MUSIC(Multiple Signal Classification)方法,该方法可以有效地抑制非相关噪声和高斯噪声,在混合噪声和低信噪比的条件下,仍具有很高的谱分辨率和谱估计性能。为了证明其有效性,采用一具体的电力系统谐波模型进行仿真。仿真结果表明:在色噪声背景下,信噪比为-20dB时,且不需要对分析数据进行整周期采样,仍可以有效地估计出间谐波的频率和幅值,谱估计性能稳定,具有一定的工程应用前景。展开更多
文摘We analyzed the effect of colored noise on the negativity dynamics of a hybrid system consisting of a qubit-qutrit and not interacting,prepared from the start in an entangled one-parameter state and acting with noise in local and non-local environments.In this pink and brown noise we investigated two different situations:in the first situation,the noise is produced by a bistable oscillator with an unknown exchange rate;however,in the second situation,the noise is generated by a set of bistable oscillators.We found that entanglement decreases with time to zero,and undergoes the phenomenon of sudden death and rebirth.The pink noise is more prone to entanglement than the brown noise and the non-local environment is more prone to entanglement than the local one.When the number of fluctuators is increased,entanglement decays faster and finally,for certain parameters of the initial state,the subsystems are not affected by the noise.
文摘在电力系统中,准确有效地确定信号中的间谐波分量,对于改善电能质量有重要意义。研究了一种间谐波幅值和频率的估计算法--基于互高阶累积量的多信号分类法MUSIC(Multiple Signal Classification)方法,该方法可以有效地抑制非相关噪声和高斯噪声,在混合噪声和低信噪比的条件下,仍具有很高的谱分辨率和谱估计性能。为了证明其有效性,采用一具体的电力系统谐波模型进行仿真。仿真结果表明:在色噪声背景下,信噪比为-20dB时,且不需要对分析数据进行整周期采样,仍可以有效地估计出间谐波的频率和幅值,谱估计性能稳定,具有一定的工程应用前景。
