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出 处:《电光与控制》2010年第12期68-70,共3页Electronics Optics & Control
基 金:湖北省自然科学基金项目资助(CGZ0696)
摘 要:采用高效的数据处理算法提高测量精度为主要的研究内容。归一化加权平均值算法在解算过程中首先求得各数据的归一化加权值,并利用该值来计算平均值,相比于其他的平均值解算方法,精度有了很大的提高。通过Mat-lab仿真试验比较了归一化加权平均值算法与一般平均值计算方法的效果,验证了该算法能够提高测量精度。最后将算法应用于一个简单的电压测量实验,结果表明测量精度得到提高。归一化加权平均值算法以其灵活性和可靠性将得到广泛的应用。Improving the measurement accuracy by using effective data processing method has become the main direction of current research on electronic measurement. The algorithm of normalized weighted average was studied. In the algorithm, the normalized weight of each datum was calculated at first, which was then used for calculating the average value. Compared with the other average algorithms, this method has much higher accuracy. Simulation was made by using Matlab, and the feasibility of this algorithm in improving accuracy was validated. A practical application in voltage measurement proved the actual effect of it. The normalized weighted average algorithm will 'surely find a wide application due to its flexibility and reliability.
分 类 号:V271.4[航空宇航科学与技术—飞行器设计] TN30[电子电信—物理电子学]
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