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Adaptive Frequency Evaluation Method

机译:自适应频率评估方法

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摘要

The main task of the periodical signal frequency evaluation problem is characteristic signal point detection. Nature of a signal often could be changed by some digital operators [1,2]. Evaluation the length in time between two the same characteristic extremum points is frequent choice for frequency determination. There are a lot of applications there the frequency evaluation task must be done in a portable monitoring units. The example is physiological parameters monitoring system. Respiratory rate or heart rate evaluation is one of the tasks in the system. Low power consumption is one of the main requirements for portable systems [3] or devices. Therefore low computational load of the method is big advantage for such applications. It is also desirable the method could be easily implemented in a processors operating in fixed point arithmetic. There is presented a method which could be applied for frequency of the periodical signal evaluation based on relatively long adaptive difference window. The length of the window takes significant part of the signal period.
机译:周期性信号频率评估问题的主要任务是特征信号点检测。信号的性质通常可以由一些数字运营商来改变[1,2]。评估两个相同特征极值点之间的时间长度是频率确定的常见选择。频率评估任务很多,必须在便携式监控单元中完成。例子是生理参数监测系统。呼吸频率或心率评估是系统中的任务之一。低功耗是便携式系统[3]或设备的主要要求之一。因此,该方法的低计算量对于此类应用具有很大的优势。还希望该方法可以容易地在以定点算术操作的处理器中实现。提出了一种基于较长的自适应差异窗口的周期信号评估频率方法。窗口的长度占信号周期的很大一部分。

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