最优滤波的英文

• optimal filtering

• "最优"英文翻译    optimal; optimum
• "滤波"英文翻译    filtering; filtration; smoot ...
• "最优滤波器" 英文翻译 :    optimal filter
• "最优线性滤波" 英文翻译 :    optimum linear filtering
• "最优平滑滤波器" 英文翻译 :    optimal smoother
• "最优" 英文翻译 :    optimal; optimum◇最优策略 optimal policy; optimal strategy; 最优设计 optimum design; 最优值 optimal value; optimum value
• "滤波" 英文翻译 :    filtering; filtration; smoothing
• "超最优" 英文翻译 :    superoptimal
• "最佳，最优" 英文翻译 :    optimum
• "最优道" 英文翻译 :    optimal trace
• "最优的" 英文翻译 :    most excellent; optimalizing; optimum; synergic; top
• "最优地" 英文翻译 :    excellently
• "最优点" 英文翻译 :    optimal point; optimum point
• "最优法" 英文翻译 :    optimum procedure
• "最优化" 英文翻译 :    opotimization; optimiization; optimization (mathematics); optimize; optimum theory
• "最优惠" 英文翻译 :    ttopriority
• "最优阶" 英文翻译 :    optimal order
• "最优解" 英文翻译 :    optimal solution; optimum relation; optimum solution; optimum system design
• "最优圈" 英文翻译 :    optimal cycle
• "最优权" 英文翻译 :    optimal weight
• "最优树" 英文翻译 :    optimal tree
• "最优先" 英文翻译 :    top priority
• "最优线" 英文翻译 :    best fit line
• "最优性" 英文翻译 :    optimality
• "最优秀" 英文翻译 :    out-standing

• Our aim is to in - depthly study the kalman filtering
  经典的最优滤波包括： wiener滤波和kalman滤波。
• A partitioned optimal filtering algorithm for multi - channel systems with multiplicative noise among observation channels is proposed
  摘要针对多通道观测环境下带乘性噪声系统的最优滤波问题，提出了1种状态最优滤波的分部算法。
• When the observation noise is temporal correlation , kalman filter will not be able to achieve optimization , and its covariance matrix will be wrong
  在观测噪声不满足时间不相关的假设情况下，卡尔曼滤波将达不到最优滤波效果，并且其误差协方差阵也是错误的。
• The nonlinear interpolation method is used to compensate the influence of pipe grade and pipe material property ; tool velocity effects are compensated by the fourier transformation and optimal filter theory
  研究用非线性插值技术对管道厚度和材质的影响进行补偿，实现了用傅立叶变换和最优滤波方法来消除检测仪移动速度对漏磁信号的影响，并取得了实验验证。
• While on another hand , the kalman filter ' s input , including signal and noise , should be well known in statistic mean , in fact , we often cannot get them , then we ca n ' t realize the best estimate
  另一方面，对于卡尔曼滤波，信号和噪声作为滤波的输入，在统计意义下，是已知的。而在实际中，常常无法知道其统计特性，或者它是随时间变化的，上述滤波器就无法实现最优滤波。
• The improved lms arithmetic can adaptive the minimum pulse response automatically by the guide line of minimum average square error and have the best filtering effect . the method is easy to practise and has been introduced extensively
  采用经过改进的lms （最小均方误差）算法来实现自适应滤波器，它以均方误差最小为准则，能自动调节单位的最小脉冲响应，以达到最优滤波效果，这种方法简便易行，已经被广泛采用。
• The deducing of the algorithms has very practical value in state estimation for systems under the complex environments . in the instance of complicated multi - channel system with multiplicative noise , the dissertation discusses the optimal estimation of state filtering and smoothing and the stochastic input signal with the technique of innovation and projection theorem of hilbert space . the main study of the dissertation is introduced as follows : 1 according to the practical requirement of complicated multi - channel system with multiplicative noise , the dissertation broadens rajasekaran filtering algorithm
  本文针对复杂多通道带乘性噪声系统，应用新息的方法和hilbert空间的投影定理，对状态最优滤波和平滑估计、随机输入信号的最优估计等理论与应用方面的问题，进行了进一步的探讨，着重完成了以下工作：第一，根据复杂多通道乘性噪声系统问题的实际需要，推广了rajasekaran滤波算法。
• Since the filtering vector is needed in qrd - rls and qrd - brls , the parallelism of qr decomposing will be impeded slightly . the inverse qr decomposion ( iqrd ) scheme for brls algorithm is proposed in this dissertation to enhance the parallelism , the systolic array structure for iqrd is proposed to calculate the algorithm in parallel
  鉴于码辅助最优滤波需要求解滤波权值矢量,此时qr分解的计算并行性不如逆正交三角分解( iqrd ) ,本文提出了基于iqr分解的brls算法,给出了iqrd - rls / brls的脉动阵列并行计算结构。
• Kalman filter is an optimal filter algorithm in the minimum - mean - square - error sense , meanwhile extended kalman filter is a sub - optimal filter algorithm , which derived from the linearization of nonlinear system using taylor expansion . while the non - linearity of the system is not extreme strong , ekf can achieve approximately optimal filter effect
  Kf是最小均方意义下的最优滤波算法, ekf则是利用一阶泰勒展开将非线性系统线性化而得到的一种次优滤波算法,在非线性不是特别严重的情况下, ekf有着近似最优的滤波效果。
• The output sinr limitations of mmse and constrained mmoe optimal filter are derived in the cirsumstance aforementioned . these limitations constitute the base of the code - aided optimal filtering and nbi estimate - subtract filtering . this dissertation summarize the recursive least squares ( rls ) algorithm , blind recursive least squares algorithm and the qr decomposing for these two algorithms
  为自适应实现码辅助最优滤波,本文系统总结了递归最小二乘( rls )和盲递归最小二乘( brls )算法,以及两者基于正交三角分解( qrd )的并行计算结构。