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- In CDMA system,a constrained least mean fourth(LMF) criterion is proposed to construct a multi-user detection algorithm. 基于約束最小四階矩(LeastMean Fourth;LMF)準則;提出了一種新的高階統計類(lèi)型的盲多用戶(hù)檢測方法.
- 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 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。
- 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。
- 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。
- The proposed FSE based on the least mean square (LMS) algorithm can mitigate the detrimental effects of the inter-symbol interference (ISI) caused by the multipath fading channel. 利用基于LMS算法的分數間隔均衡抑制由多徑衰落信道引起的碼間干擾并且利用最大似然算法對解調后的碼元進(jìn)行檢測。
- This paper studied the mothod of acoustic echo cancellation based on Least Mean Square (LMS) and described an improved adaptive LMS algorithm with fast convergence speed. 本文研究了基于最小均方(Least Mean Squares,LMS)準則的自適應回聲抵消算法,給出了一種具有更高收斂速度的改進(jìn)自適應聲學(xué)回聲抵消算法。
- 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。
- 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 results show that this method can eliminate the noise in the signal more effectively than the ANC method based on least mean square (LMS) criterion. 結果表明，該方法比基于最小均方誤差準則的自適應噪聲抵消方法更能有效地消除信號中的噪聲。
- By using an adaptive algorithm such as Least Mean Square (LMS), the equalizer can optimize the signal quality by modifying the coefficients on a continuous basis. 通過(guò)用自適應運算法則比如最小平均數平方(LMS),均衡器能通過(guò)連續改變系數來(lái)優(yōu)化信號質(zhì)量。
- The adaptive filter based on TDNLMS(Two Dimension Normal Least Mean Square) algorithm can suppress complex background, has high performance of detection, simple structure and easy to hardware implementation. 基于TDNLMS(Two Dimension Normal Least Mean Square)算法的自適應濾波器具有抑制強雜波背景的能力,能提供良好的小目標檢測性能,而且結構簡(jiǎn)單,易于硬件實(shí)現。
- The popular TDE algorithms mainly include the classical generalized cross correlation(GCC),the adaptive least mean square(LMS),the subspace based eigenvalue decomposition(EVD)and the acoustic transfer functions ratio(ATF-s ratio) methods,etc. 現有的TDE算法主要包括經(jīng)典的廣義互相關(guān)(GCC)方法、自適應最小均方(LMS)方法、基于子空間的特征值分解(EVD)方法和基于傳遞函數比(ATF-s ratio)的方法等。
- Simulation results showed the proposed method has preferable effectiveness for AVIS with nonlinearities,and its capacity of vibration isolation is much better than that of FLMS(filtered least mean square). 仿真結果表明,該控制方法對于存在非線(xiàn)性的主動(dòng)隔振系統具有良好的控制效果,隔振能力超過(guò)常用的濾波LMS(least mean square)方法。
- LMS (least mean square) prediction is applied to predicting the network traffic so as to weaken the adverse effect of time delay due to long satellite link on request for network resources. 將最小均方算法用于網(wǎng)絡(luò )流量的預測，以削弱衛星鏈路長(cháng)延時(shí)對網(wǎng)絡(luò )資源申請造成的負面影響。
- The Dynamic Least Mean Square(DLMS) algorithm was proposed to cancel echo under communication device.In this approach, the computation is reduced and the performance is still without decrease. 本論文針對通訊裝置之回音通道，提出一種改良式回音消除之演算法, 稱(chēng)之為動(dòng)態(tài)式最小均方演算法。
- Based on arithmetic additive generator, a kind of design-for-testability and test strategy for direct-form fine-grained pipelined delayed least mean square adaptive filter is presented. 基于加法器的測試生成，提出了直接實(shí)現形式的細粒度流水線(xiàn)延遲最小均方自適應濾波器的一種可測性設計的測試方案。
- In this paper, the general normalized least mean square (NLMS) adaptive algorithm was modified to ensure the linear phase of the FIR filter obtained in this way without the gradient noise amplifying. 它用經(jīng)過(guò)改進(jìn)的歸一化最小均方(NLMS)算法來(lái)保證所得結果具有線(xiàn)性相位，且克服了梯度噪聲放大問(wèn)題，同時(shí)也不必選擇步長(cháng)。
- Methods The noise parameter was constructed by using light beat in the pulse oximetry system and the LMS(Least Mean Square) adaptive filter was used to eliminate the effect of motion artifact. 方法通過(guò)脈搏血氧儀中的雙光束構造噪聲參考信號,利用最小均方自適應濾波法消除運動(dòng)偽差干擾的影響。
- And the relationship between constrained least square unmixed accuracy and within endmember variances was analyzed with simulation data. 然后用數值模擬的方式進(jìn)一步研究了端元內部光譜與限定性混合像元分解精度的關(guān)系。
