本文给出了在混合噪声中非线性递归最小均方误差算法的性能分析。
This paper presents the performance analysis of recursive least square algorithm with error-saturation in mixture noise.
图像处理中应用非常广泛的二维最小均方误差算法(TDLMS)。
Widely used in image processing of two-dimensional minimum mean square error algorithm (TDLMS).
自适应滤波算法采用变步长最小均方误差算法，减少了算法的运算量，提高了算法的收敛速度。
The adaptive filter is based on variable step size LMS method (VSSLMS), which can reduce the computation requirement and improve the convergence speed.
虽然判决导引最小均方误差算法(DD -LMS)剩余误差小，但是，在信道眼图闭合的情况下，该算法无法收敛，即不具备冷启动能力。
Though the decision directed least mean square error algorithm (DD-LMS) has small residual error, when the channel eye close, it can not converge. That is, it has no cold start ability.
在建立回波抵消器模型的基础上，按最小均方误差准则，导出了自适应滤波器抽头的统计梯度算法和抽头调节的收敛公式。
Based on building up a model of echo canceller, the convergence of gradient-type stochastic adjustment algorithm of an adaptive filter under the mean-squared error criterion is discussed.
该算法实现了横摆角速度的线性最小均方误差估计，且可对汽车行驶过程中的系统噪声和观测噪声统计特性进行在线估计。
This algorithm can realize linear minimum mean square error estimation of yaw rate, and on-line estimate statistical characteristic of system noise and observation noise during vehicle running.
本文讨论了一种带有参考通道的自适应环境噪声滤波器原理，该滤波器采用最小均方误差（LMS）算法。
One kind of theories of adaptive noise cancellation filter with referent channel based on Least Mean Square (LMS) algorism is discussed in this paper.
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。
This technique is based on the suboptimal subspace blind minimum mean square error (MMSE) algorithm of multiuser detection.
本文根据现有的步长调整原则，利用误差和步长关系曲线特点，提出了新的变步长最小均方算法。
The paper put forward a new improved least mean square algorithms which is on the basis of the fundamental of convergence step and the graph connection between error and step.
该算法采用协方差匹配技术，依据滤波新息，动态调整测量噪声方差，使融合系统的均方误差始终最小。
With covariance matching technique and innovation information of filtering, the noise variance is dynamically adjusted and the mean square error of the fusion system always keeps minimum.
采用常用的最小均方误差(LMS)自适应算法，研究了自适应解调方法对A SK信号的解调及其性能。
The demodulation and performance of adaptive demodulation method to ASK signals was studied by Least Mean Squares algorithm (LMS) in common use.
此算法相对于均方误差最小准则和最大误差最小化准则具有占用存储空间小和计算时间短的优点。
Compared with the minimum mean squared error principle and the minimaxs principle this one needs smaller memory space and less computation time.
仿真实验显示，本章提出的五种检测器算法的误码率均远低于已有的解相关、最小均方误差和多级多用户检测器。
Our simulation experiments show that the bit-error-ratio (BER) of these new detectors is much lower than that of decorrelation, minimum mean-squared error and multistage detectors.
给出了基于差分最小均方误差(DMMSE)准则的短扩频序列ds- CD MA自适应多用户检测算法。
Algorithms based on DMMSE (Difference minimum mean square error) criterion of adaptive multi users detector for short spreading sequences DS CDMA systems is proposed.
提出均方误差最小意义上的最佳三维子带码率分配算法，该算法在任意给定码率限制条件下都能获得最优率失真性能。
An optimal subband rate allocation algorithm in mean-squared error (MSE) minimization sense was proposed, which achieves persistent optimal rate-distortion performance under any given rate constrains.
本文指出最小均方算法并不能使均方误差最小，证明了最小均方算法实际上是一种加权最小二乘算法。
It is shown in this paper that the Least-Mean-Square algorithm cannot minimize the mean square error, and that it is actually a kind of weighted Least-Square algorithm.
通过和最小均方误差估计算法(MMSE)相比较，变门限聚类定位算法可有效消除低质量数据对定位结果的影响，从而提高了目标的定位精度。
By eliminating the possible influence produced by low quality data, the presented algorithm can improve localization precision effectively in comparison with the MMSE algorithm.
基于导频的信道估计方法已经受到广泛的研究，主要估计算法有最小二乘法(LS)、最小均方误差法(MMSE)和最大似然(ML)估计法等。
The channel estimation method based on pilots has received much research. It adopts the algorithms such as least squares (LS), minimum mean square error (MMSE), maximum likelihood (ML), and so on.
针对快跳频多址系统，提出了基于最小均方误差（MMSE）准则的多用户检测算法。
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。
This technique is based on the suboptimal subspace blind minimum mean square error (MMSE) algorithm of multiuser detection.
为了滤除这些不平衡信号，通过分析几类最小均方(LMS)误差算法，得出一种相对合适的滤波算法。
To filter the unbalance signals, one kind of relatively suitable filter algorithm was proposed through analyzing some kinds of least mean square (LMS) algorithms.
为了滤除这些不平衡信号，通过分析几类最小均方(LMS)误差算法，得出一种相对合适的滤波算法。
To filter the unbalance signals, one kind of relatively suitable filter algorithm was proposed through analyzing some kinds of least mean square (LMS) algorithms.
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