您正在处理仅包含随机噪声的信号,并且您知道其抖动值(以秒 RMS 为单位)。对于此计算器,数据信号适用的抖动类型是时间间隔误差 (TIE)。对于时钟信号,适用的抖动类型可以是任何类型(TIE、周期抖动、周期抖动等)。无论如何,如果抖动分布是高斯分布,则其特征在于标准偏差 σ,如下所示。
假设只有随机噪声,您已将信号中的时间间隔误差抖动 (TIE Jitter) 量化为 RMS 值。如果要针对该信号测量误码率 (BER) 浴缸图,您想要确定该图在指定 BER(即 BERS)下的眼图闭合情况。特色:闭合计算器、RMS 计算器、闭合计算器、眼图抖动、上升时间计算器。
You're working with a signal containing only random noise, and you know its jitter value in seconds RMS. For this calculator, the applicable type of jitter for data signals is time-interval error (TIE). For clock signals, the applicable type of jitter ma
Assuming only random noise, you've quantified the time-interval error Jitter (TIE Jitter) in a signal as an RMS value. You want to determine, if a bit-error ratio (BER) bathtub plot were to be measured for this signal, what the plot's eye closure is at a