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均方误差

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The simulation results demonstrate that the proposed algorithm can effectively reduce the location estimation error and variance of the MS, and has favorable performance in both root mean square error and mean error cumulative distribution function.

仿真结果表明,该算法能有效降低移动台位置估计的误差和方差,具有良好的均方根误差和均值误差CDF性能。

It is important to suitably estimate the root mean square of observation error in a given assimilation system.

在观测资料同化系统中,观测误差均方差与背景场误差均方差共同决定着观测信息与背景场信息的相对重要性以及这些信息在空间及不同变量间的扩展方式,故在资料同化系统中起到决定性作用。

Prediction results of indepe ndent and dependent samples show that the RMS errors of SSTA predicted in 10~12 months ahead are smaller than SSTA mean square deviation and that the relative e rrors in 5 months ahead are less than 50%.

经检验,对于非独立和独立样本,预报的均方根误差分别在12个月和1 0个月预报时效内小于SSTA的均方差,相对误差在5个月预报时效内都小于50%。

The Mean Square Error of Neutral Network dropped to 0.001 after 242 training epochs.The maximum relative error of simulated value...

在均方差为0.001的条件下,网络于242次训练后收敛,模型训练的最大相对误差为2.58%,预测值的最大相对误差为10.08%,表明该模型具有良好的预测和仿真能力。

The maximum error of regional anomaly separation is 3.101×10^(-6)m/s^2 the mean square error is 0.989×10^(-6)m/s^2 and the maximum percentage error is 7.76% for several data on the boundary and is lower than 4.1% for the other points.

分离出的区域异常最大误差为3.101×10^(-6)m/s^2,均方差为0.989×10^(-6)m/s^2,最大百分比误差仅在边部的几个数据上,为7.76%,其余各点的误差均小于4.1%。

A filtered transformation and a stochastic control Lyapunov design method are applied to Marino-Tomei systems driven by Wiener noises of unknown covariance. A parameter adaptive law and a control law are obtained to ensure that the closed-up systems are noise-to-state stable and the tracking error can converge to a small residual set around the origin in the sense of mean quartic value in average.

通过滤波变换,采用随机控制Lyapunov设计方法,对于受方差未知的Wiener噪声干扰的Marino-Tomei非线性系统,给出了参数自适应律和控制律,使得闭环系统成为噪声--状态稳定的,并且跟踪误差的4次均方值在时间平均意义下收敛到一个足够小的区域内。

The author briefly introduces the channel estimation methods and decision criterions of both SISO-OFDM system and MIMO-OFDM system, and gets the compared figures about performance of mean square error and bit error ratio.

作者简要介绍了传统SISO-OFDM系统和MIMO-OFDM系统信道估计的方法和判决准则,并给出了这些算法之间的均方误差和比特误码率的性能比较曲线。

We analyze the BER performance of PMBT with zero forcing, minimum mean square error receiver and optimum bit allocation and also compare the performance with Generalized MRT.

我们将使用零强制、最小均方误差接收器和最佳位元分配的PMBT系统来做位元误差率的分析并且和广义的最大传输率系统的效率做比较。

The quantizer can perform dynamic quantization for wavelet coefficients after the determination of the best quantization steps {qi} that minimize the average mean square error at a given bit rate.

在为DWT 系数确定好一组使给定码率下均方误差最小化的最佳量化步长{qi}后,该量化器将能够实现小波系数的动态量化。

Based on the oversampling of OFDM frequency response, this paper proposes a method called LS+LPF.

利用在OFDM系统中信道的频域响应是过采样的特性,提出了LS+低通滤波器的方法,将其与带低通滤波器的sisin(x/x插值法、cubic插值法和Winner插值法进行了信道估计的均方误差和无编码的误比特率的仿真结果进行了比较。

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