A novel electrocardiogram compression algorithm based on minimum root-mean-square error prediction utilizing the correlation of adjacent QRS wave is proposed.
本文提出了一种利用相邻QRS波的相关性进行最小均方差预测的心电图压缩算法。
So an efficient search method by using populating code book are developed, and search procedures for determining the minimum mean-square error excitation code word are discussed.
为此研究了一种用繁殖码本作为激励源的有效搜索方法，同时讨论了决定最小均方误差激励码字的全搜索过程。
We introduce an optimally-modified log spectral amplitude estimator, which minimizes the mean-square error of the log spectra for speech signals under signal presence uncertainty.
引入了最佳修正短时对数谱估计，能在信号存在的不确定性下最小化语音信号对数谱的均方误差。
We suggest "error of closure" asa criterion of measuring accuracy and use transient root-mean-square error to ex-press repeatability and reliability of measurement of the instrument.
我们提出了闭合误差的概念，作为仪器测量精度的判据，测量仪器的瞬时均方差，以表征测量的重复性和可靠性。
However, two-stage estimates of regression coefficients corresponding to these two estimates have approximate equal mean square error.
对应于方差参数这两种估计的回归系数的两种两步估计，它们的均方误差大致相当。
The results of the test data indicate that the prediction system is reliable and the root of mean square error is about 15%.
对测试数据的预测结果表明，该预测系统能够可靠工作，预测结果的均方根误差在15%左右。
There are many kinds of image fusion methods, such as information entropy, mutual information, mean square error, peak signal to noise ratio and mean grads.
医学图像融合的效果评价方法有很多，如信息熵、互信息、均方值、峰值信噪比和平均梯度等。
It is noted that the minimum mean square error (MMSE) detector often loses phase to lock a desired signal when the desired signal dips into a deep fade.
在实际通信系统中当信号处于深衰落时，最小均方误差(MMSE)检测器经常失去对信号的相位跟踪。
Computer simulation experiment, as well as theoretical research show that the amplitude mean square error of the iterative output derived from IAFC is 0.69%, and the amplitude un-uniformity is 1.01%.
理论计算和计算机模拟实验结果显示，模糊控制迭代算法的迭代结果其振幅均方误差为0.69%，振幅不均匀度为1.01%。
The minimum mean square error (MMSE) is computed for each decoding state to estimate optimal parameters and to reduce the influence of the bit error.
基于一定的解码状态，声码器通过最小均方误差（MMSE）估计的方法估计最优参数，充分降低信道误码对重建语音质量的影响。
Comparing with the Linear Minimum Mean Square Error (LMMSE) channel estimation method, the method is simple and need not know the channel correlation and signal-to-noise (SNR).
与已有线性最小均方差(LMMSE)信道估计方法相比，该算法简单并且不需要预先知道信道相关矩阵以及信噪比等信道信息。
In comparison with traditional LMS algorithm, WO-LMS algorithm can achieve both lower steady mean square error and faster convergence speed.
与传统的LMS算法相比，WO - LMS算法既提高了收敛速度又可以得到较低的稳态均方误差。
Our simulation results show that for high errors correlation case, new estimate is superior over the moment estimate appeared in literature under mean square error criterion.
若以均方误差作度量估计优劣的标准，模拟显示当误差相关程度较高时，新估计优于文献中常见的矩估计。
Finally, a successive interference cancellation (SIC) scheme is proposed combined with minimum mean square error (MMSE) detection. Its performance is superior to simple SIC or MMSE detector.
最后还提出了一种结合最小均方误差(MMSE)检测的连续干扰抵消(SIC)方案，其性能好于单一的SIC和MMSE检测器。
In the MCMA, adjusting the scale coefficients of two gradient vectors can improve the convergence rate and reduce residual mean square error.
调整该算法中两个梯度矢量的比例系数，可提高该算法收敛速度、减少收敛后的均方误差。
Aiming at solving resolution of multiple targets, a match algorithm based on mean square error is also proposed.
同时为解决多目标分辨的问题，采用一种基于目标均方误差的配对算法。
The influencing factors for errors in regression equation are discussed and the relations between mean square error of regression equation and its influence factors are deduced.
对回归方程误差的影响因素进行了分析，导出了回归方程的均方误差与其影响因素之间的关系式。
Usually, excess mean square error (MSE) and convergence speed are two criterions used to evaluate performance.
剩余均方误差(MSE)和收敛速度是衡量均衡算法性能的两个常用标准。
Kalman filtering is an optimum filtering employing the norm of minimum mean square error.
卡尔曼滤波采用最小均方误差准则，是一种最优滤波。
The fractal theory was applied to describe multipath fading channels, and a novel channel estimation scheme using fractal filter in the sense of minimum mean square error (MMSE) was presented.
本文将分形理论引入多径衰落信道的描述，提出了一种利用分形滤波进行最小均方误差意义下信道参数估计的方法。
Based on the model a grammatical pattern is constructed, and an algorithm for pattern recognition of wave peaks is designed by using mean square error norm.
本文给出描述波形波峰的数学模型，并根据数学模型构造一个文法模式，然后采用均方误差范数设计出模式识别波形波峰的算法。
The chip level linear minimum mean square error (LMMSE) equalizer in CDMA systems is introduced.
介绍了码分多址CD MA系统中码片级线性最小均方误差均衡器。
This technique is based on the suboptimal subspace blind minimum mean square error (MMSE) algorithm of multiuser detection.
该技术基于次优化子空间盲最小均方误差（MMSE）多用户检测算法。
Experiment shows that acutance function method is better than mean square error function method. The error factors are analyzed and corresponding improvement approaches are put forward.
实验结果表明在该系统中锐度函数法作判据的效果要优于均方差函数法，最后分析误差因素并提出修正途径。
The method focuses on minimizing the ensemble mean square error of the estimation.
该方法可以使估计的总体均方误差最小。
Then, the optimal weighted vector and the MMSE minimum mean square error were obtained using the MMSE principle.
利用最小均方误差（MMSE）准则求得相关干扰条件下阵列最优加权矢量和输出最小均方误差；
This paper proposes a new speech enhancement scheme based on modified Minimum Mean Square Error (MMSE) estimation of speech Short Time Spectrum Amplitude (STSA).
本文提出了一种改进型语音短时谱最小均方误差(MMSE)估计的增强方法。
This paper proposes a new speech enhancement scheme based on modified Minimum Mean Square Error (MMSE) estimation of speech Short Time Spectrum Amplitude (STSA).
本文提出了一种改进型语音短时谱最小均方误差(MMSE)估计的增强方法。
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