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- Multiple scattering from two-dimensional rough surface with large surface root mean square (RMS) slope is studied with Kirchhoff approximation. 摘要利用基爾霍夫近似研究了表面均方根料率較大的二維粗糙面的多次散射問(wèn)題。
- Multiple scattering from two-dimensional rough surface with large surface root mean square(RMS) slope is studied with Kirchhoff approximation. 利用基爾霍夫近似研究了表面均方根斜率較大的二維粗糙面的多次散射問(wèn)題。
- To achieve such a rapid and low complexity of the distribution，and it proposes a semiregular mesh geometry coding related to the reconstruction of the mean square error of approximation. 為了實(shí)現這種快速和低復雜度的分配方法，提出了和半規則網(wǎng)格幾何編碼相關(guān)的重建均方誤差的近似方法。
- 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。
- mean square optimal approximation 均方最佳逼近
- 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。
- By using least square approximation and non-linear functional minimization, the data points of plane could be faired approximately. 利用最小二乘法和非線(xiàn)性泛函的極小值優(yōu)化計算，對平面數據點(diǎn)進(jìn)行光順逼近，達到光順的目的。
- In this paper the principle and method of testing of RMS(Root Mean Square )graininess of radiograph were described. 作者介紹了X線(xiàn)照片均方根值（rootmeansquare，rms）粒狀度的測試原理及方法。
- By using the technique of least square approximation and non-linear functional minimization，the data points of plane can be faired approximately. 通過(guò)最小二乘法和非線(xiàn)性泛函的極小值優(yōu)化計算，對平面數據點(diǎn)進(jìn)行光順逼近，達到了光順的目的。
- The best solution is to refine technique and thus reduce the size of the error mean square. 最好的解決辦法是提高技術(shù)，以降低均方誤差的大
- The stochastic Control methods to guarantee the mean square stability of the system are summarized. 并對相繼時(shí)刻的隨機延遲相互獨立或者條件相關(guān)的不同特點(diǎn)進(jìn)行了討論。
- 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。
- 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。
- moving least - square approximation 移動(dòng)最小二乘法
- 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。
- Based on feature points extraction and total least squares approximation, a new method is presented for extracting and vectorizing Street blocks on topographic maps. 摘要提出了特征點(diǎn)提取和總體最小二乘擬合相結合的新方法，對掃描地圖上的居民地街區進(jìn)行提取和矢量化。
- 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。
- moving least square approximation 移動(dòng)最小二乘近似
- 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。
- The frequency response of the Wiener filter isderived through minimisation of mean square error in the frequencydomain. 熏肉香腸過(guò)濾器的頻率特性是獲得通過(guò)均方錯誤的低估在頻率領(lǐng)域。
