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Time domain analysis of low frequency noise in giant magneto-resistive recording heads

机译:巨磁阻记录头中低频噪声的时域分析

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摘要

The low frequency noise observed in giant magneto-resistive recording heads was studied in the time domain. Time series data was collected on bottom spin-valve sensors while varying the bias current (I/sub b/) about a nominal operating point. An optimal time delay of 5 ns was chosen based on a 80% reduction in mutual information. Two dimensional embedding of the data revealed a progression from one stable state for low I/sub b/ to two metastable states and finally a second stable state at high I/sub b/. The metastable states manifest themselves as random telegraphic noise in the time series. The average time between noise spikes was obtained by calculating the time between consecutive points on a Poincare section and was estimated as 0.37 /spl mu/s. The Renyi entropy was used to quantify the stability of the system both with and without an isolated pulse pattern.
机译:在时域中研究了巨磁阻记录头中观察到的低频噪声。在底部旋转阀传感器上收集时间序列数据,同时在正常工作点附近改变偏置电流(I / sub b /)。基于互信息减少80%,选择了5 ns的最佳时间延迟。数据的二维嵌入揭示了从低I / sub b /的一个稳定状态到两个亚稳态的变化,最后是高I / sub b /的第二稳定状态的变化。亚稳定状态在时间序列中表现为随机电报噪声。噪声尖峰之间的平均时间是通过计算Poincare截面上连续点之间的时间获得的,估计为0.37 / spl mu / s。 Renyi熵用于量化有无隔离脉冲模式时系统的稳定性。

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