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- In this paper, we present a method of fusing based on least mean square error(LMSE) and apply it on two SAR images with different resolution effectively. 介紹了一種基于最小均方差的融合方法，并應用于兩幅不同分辨率的SAR圖象的融合，取得了良好效果。
- The convergence speed and misadjustment can be controlled separately using a complementary pair filters.And under the criterion of the least mean square error, the proportion of weight is adjusted. 該檢測器通過(guò)兩個(gè)濾波器分別控制檢測器的收斂速度和穩態(tài)性，并在最小均方誤差的準則下調整權值比例。
- principle of least mean square error 最小均方誤差準則
- least mean square error criterion 最小均方誤差準則
- least mean square error 最小均勻誤差
- A new evaluating parameter named bit error rate is proposed to analyze the performance of least mean square (LMS) algorithm for digital signal. 摘要為全面分析用于數字信號的最小均方(LMS)算法性能，提出了一種新的性能評估參數-誤碼率。
- Seeing that the ideal error of adaptive line enhancers (ALE) is not equal to zero, a novel variable step size LMS (least mean square) algorithm is presented. 摘要針對自適應譜線(xiàn)增強器(ALE)理想誤差不為零的現象，提出了一種新的變步長(cháng)LMS算法。
- The least square solution and minimum mean square error (MMSE) solution for roundness error and spindle error was derived by measurement matrix in frequency-domain. 這種方法利用頻域測量矩陣直接給出了圓度形狀誤差和回轉誤差的最小二乘解或最小均方誤差解。
- RMSE (Root mean square error), measured in percent of the peak intensity. RMSE（均方根誤差），以峰值強度的百分比為測量單位。
- The commonly used least mean square (LMS) error adaptive filtering algorithm is employed for studying the demodulating procedure and the performance of the adaptive MPAM demodulation method. 文中以常用的最小均方誤差自適應算法(LMS)為例，討論了新型的MPAM自適應解調的過(guò)程及其性能。
- least mean square errors 最小均方誤差
- Methods The criterion of mean square error (MSE) was used to determine the pool size and the number of pools. 方法 以均方誤差達到預定精度要求為準則,確定混合樣本大小與混合樣本量。
- Subsequently, the least mean square (LMS) algorithm is chosen for the adaptive parameter identification to ensure the modeling accuracy. 本課題選取最小均方根法(LMS)進(jìn)行模型參數的自適應辨識,以保證建模精度。
- The method focuses on minimizing the ensemble mean square error of the estimation. 該方法可以估計的總體均方誤差最小。
- The real-time system identification is realized by Recursive Least Square (RLS) method, while control by Least Mean Square (LMS) algorithm. 采用RLS算法處理在線(xiàn)辨識問(wèn)題，而采用LMS算法進(jìn)行控制律的更新。
- Minimum Mean Square Error (MMSE) iterative soft interference canceller is a popular SISO detector in such system. 為了進(jìn)一步改善系統性能，采用鏈路自適應方案是很好的選擇。
- One kind of theories of adaptive noise cancellation filter with referent channel based on Least Mean Square (LMS) algorism is discussed in this paper. 本文討論了一種帶有參考通道的自適應環(huán)境噪聲濾波器原理,該濾波器采用最小均方誤差(LMS)算法。
- In this paper a blind adaptive multiuser detector based on Minimum Mean Square Error (MMSE) criterion is proposed. 該文提出了一種直接基于最小均方誤差(MMSE)準則的盲多用戶(hù)檢測算法。
- Training results show that the RBF neural network can receive smaller mean square error (MSE) within shorter time. 訓練的結果表明RBF神經(jīng)網(wǎng)絡(luò )可以在更短的訓練時(shí)間內，獲得更小的均方誤差。
- Finally ，we Use linear minimum mean square error equalizer to resist ICI effect. 最后，我們用線(xiàn)性最小均方差等化器來(lái)對抗ICI效應。
