least mean square 中文意思是什麼

least mean square 解釋
最小均方
  • least : adj （little 的最高級，比較級為 less 或 lesser）1 最小的，最少的 （opp most）。2 最不重要的，地位...
  • mean : vt 1 意，有…的意思，意思是…。2 意指，用…意思說；意味著，就是。3 （用語言、繪畫等）表示意思，表示...
  • square : n 1 正方形，四方塊，四角；方形物。2 （方形）廣場；〈美國〉（四面都是馬路的）方陣建築；街區；（方...
  1. Kalman filter is the best estimate under the linear and unprejudiced least mean square error rule

    卡爾曼濾波是線性無偏最小方差準則下的最優估計。
  2. The improved algorithm is combined with normalized least - mean - square ( nlms ) alg orithm. computer simulations are presented detailedly to show the algorithm exhibits excellent convergence, tracking capability, as well as lower ber

    改進演算法結合了歸一化最小均方（ nlms ）演算法，模擬結果表明改進演算法具有良好的收斂性、跟蹤性能及較低的誤碼率。
  3. In addition, the beamforming techniques for cdma systems are discussed emphatically. the algorithm based on code filtering is deduced in detail theoretically, and the performances such as convergence and bit error rate ( ber ) are simulated. meanwhile, we improve a decision - projected algorithm based on least - mean - square ( lms ) error

    論文重點討論了cdma系統的波束形成技術，在理論上詳盡地推導了基於擴頻碼濾波的波束形成演算法，對其收斂性、誤碼率等進行了計算機模擬；針對基於最小均方（ lms ）誤差的一種判決映射演算法進行了改進。
  4. Among the adaptive beam - forming algorithms, the least mean square algorithm is widely used because it has a simple configuration and it is apt to come true and have nice convergence. on the other hand, it has a disadvantage that it converges slowly and there is a conflict between the fixed step and the convergence pace or the error in stabilization. so people have developed many improved least mean square algorithms which generally start from convergence, stabilization, misadjustment, and robustness and come to a formula about variational step in the end

    在自適應波束形成演算法中，最小均方（ lms ）演算法因結構簡單，易於實現，能穩定收斂而得到廣泛應用，但它也存在收斂速度受限的缺點：固定步長因子無法解決收斂速度和穩態誤差之間的矛盾。因此，人們提出了各種改進的最小均法演算法來解決這一問題。改進的最小均方演算法通常從如何改進收斂速度、穩態誤差、失調量和魯棒性等指標上出發，最後在新演算法最終表達式中的步長公式上變化。
  5. The full - rank matrix is employed to find the complex - valued weights between hidden and output layers by the least mean square algorithm

    利用這個滿秩矩陣，通過最小平方演算法就可以求得隱層和輸出層之間的復數權值。
  6. 2 both least mean - square ( lms ) and least - square ( ls ) blind space - time receivers methods based on the rosen ' s gradient projection are presented for space - time receiver that merge with the idea of smart antenna, and combined with the different data - selected schemes. the effect of these schemes on the computational complexity of two detection methods is analyzed. the simulations illustrate that those methods are effective

    2 、針對將智能天線的思想融入其中的空時接收機，提出了基於rosen梯度投影實現的最小均方（ lms ）與最小二乘盲空時接收機演算法並將提出的不同數據方案結合起來，分析了提出的方案對每次迭代運算的運算量的影響，通過模擬實驗驗證了方法的有效性。
  7. A kind of mud based on transversal equalizer is recommended, and the performance analysis of ds - cdma systems based on that mud has been done under synchronous channels. then the expression of output signal is deduced. also, the relations among sinr of output signal, snr and correlation matrix of spread code the least mean square error ( lms ) adaptive algorithm is applied to the mud

    論文引入基於橫向均衡結構的多用戶檢測器，用矩陣方法推導了awgn通道下、同異步系統中信號輸出表達式，依據最小均方差準則，討論了同步方式下檢測器的輸出信號干擾比與信噪比、擴頻碼相關陣以及用戶功率大小等因素間的關系。
  8. The initialization method to achieve different equalizer delay local minimum is proposed for btea and se. comparison study using several uwac with different zero locations is made to demonstrate the equivalent of different initialization method for least mean square ( lms ) algorithm, btea, se and cma

    盡管常數模盲均衡演算法的初始化仍然是一個公認的未能解決的問題，但本文通過幾條不同零點位置的水聲通道，對比研究了自適應最小均方誤差演算法、倒三譜演算法、超指數演算法和常數模演算法的不同權向量初始化的等效性。
  9. The fuzzy probabilistic data association of multiple targets tracking is presented in this paper, which define a target ? uzzy set on the measurement set at time k and then use fuzzy least mean square error method to estimate target states

    給出了一種多目標跟蹤的模糊概率數據關聯方法，該方法在k時刻的回波集上定義一個目標模糊集，表示回波與目標之間的模糊關系。然後基於目標模糊集，利用模糊最小均方誤差估計方法對目標狀態作出估計。
  10. 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

    本文根據現有的步長調整原則，利用誤差和步長關系曲線特點，提出了新的變步長最小均方演算法。
  11. Stable total least mean square adaptive filter algorithm

    一種穩定的總體最小二乘自適應濾波演算法
  12. Block least mean square adaptive combining for mc - cdma systems

    系統的塊最小均方自適應合併技術
  13. Since the deadbeat control property is effect by the operating system parameters, the deadbeat control parameters are corrected using the scheme, called " on line least mean square method with moving range ", in real time by stages. so the controller is adaptable to the change of operating system parame

    研究中針對無差拍控制性能受系統參數變化的影響，提出了應用「在線限定記憶最小二乘」的參數辨識方法，分期實時地修正其控制參數，使之對系統的參數變化具有自適應性。
  14. Adaptive inverse control of shock vibration based on filter - x least mean square algorithm

    濾波最小均方演算法的沖擊振動自適應逆控制
  15. The outcome of computer emluator testifies the new improved least mean square algorithms is nicer. then, author brings forward a guess which would confine other resemble algorithms

    經過計算機模擬試驗，新的變步長最小均方演算法具有良好的收斂性能，能夠解決最小均方演算法原有的缺點。
  16. Adaptive antenna array technology based on lms ( least mean square ) algorithm is discussed. and lms algorithm based on floating point format in implemented successfully using the high - performance structure and the new floating point format

    闡述了基於lms演算法的自適應天線陣技術，基於論文提出的高效結構及浮點格式在fpga上成功實現了浮點lms演算法。
  17. The transformed signal is used as the input to least mean square self - adapting filter algorithm with stage ii

    第二級將變換后的輸入信號用做最小均方自適應濾波演算法的輸入。
  18. The signal ' s energy is made unitary by whiten before detection in order to simplify the expression of kurtosis. after that we also make use of the advantage of subspace separation to reduce the rank of the signal. thirdly, in order to suppress the effect of time various channel, the adaptive signal processing techniques are studied and an improved adaptive method based on lms ( least mean square ) is proposed

    為了能更好的跟蹤通道的變化，論文還研究了自適應信號處理的方法，並針對最小均方誤差的方法進行了改進，改進后的方法在收斂速度比傳統的最小均方誤差方法有很大改進，並且和傳統方法相比它還有收斂速度對收斂步長不敏感的優點。
  19. The method of modeling and designing adaptive inverse controllers is studied, and the structure coupled with least - mean - square ( lms ) algorithm for controlling a linear plant is discussed

    首先研究了對象建模和控制器設計的方法，討論了用lms演算法實現的濾波器結構。
  20. In the end, according to the idea of inertial sensor group that comprises several same kind micromachined sensors, the fusion estimated algorithm of multisensor data is presented in this paper. it is theoretically proved that this algorithm has least mean square errors. as a result, more precise and reliable data can be obtained from the integrated output

    最後，基於將硅微慣性敏感元件構成慣性敏感器群的思想，本文應用了簡單而有效的多傳感器數據融合演算法，提高了綜合輸出的精度，得出了比單一慣性傳感器更可靠、更準確的測量結果；並在理論上證明演算法的最小方差性；計算機上的模擬結果也從實際應用上進一步說明了融合演算法的有效性。
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