observation matrix
英 [ˌɒbzəˈveɪʃn ˈmeɪtrɪks]
美 [ˌɑːbzərˈveɪʃn ˈmeɪtrɪks]
网络 观察矩阵; 观测矩阵
双语例句
- Clinical Observation of using the acellular dermal matrix to treat the soft tissue insufficiency in the guide bone regeneration surgery
采用异种脱细胞真皮基质修复骨引导再生术后软组织不足的临床观察 - Kalman Filtering of Liner Model with Stochastic Observation Matrix
具有随机观测矩阵的线性系统的Kalman滤波 - Observation and Measurement Technology of Matrix Suction of Unsaturated Soils in Suit
非饱和土的吸力测试与现场观测技术 - To get robust algorithm of parameter estimation, the lower bound of uncertain parts generated by uncertain observation matrix in the expression of the error covariance matrix of parameter estimation is given.
参数估计采用了加权最小二乘算法，按照上界不等式对估计误差的协方差阵进行了估计，得到了鲁棒辨识的新算法。 - Radionuclide Observation on Composite Grafts of Allogeneic Bone Matrix Gelatin and Partially Deproteinized Xenogeneic Bone
同种异体骨基质明胶与部分脱蛋白异种骨复合移植的放射性核素观察 - By solving an over-determinate equation system with TLS criterion, the method here can eliminate the noisy perturbation of observation data matrix effectively to achieve much more exact results;
定方程组提取信号参数的TLS方法，可以有效地消除观测矩阵的噪声扰动，改善分。 - Result: Morphological observation showed minor lesion at the matrix of cartilage and a part of chondrocytes had hyperactive synthetic and secretary function in the group of short segmental spinal fixation, this sign accorded with the degeneration at early stage;
结果：短节段组出现了软骨基质的破坏，部分软骨细胞呈现出活跃的分泌功能，符合软骨早期退变的表现； - The system order is decided by non-zerosingular values of the observation matrix in the subspace state space systemidentification method.
子空间系统辨识方法确定系统的阶次是由可观测矩阵的非零奇异值来决定。 - Observation of Osteoinduction of Decalcified Dentin Matrix in Rabbit Muscle
脱钙牙本质基质在肌肉中诱导成骨现象的观察 - By using wavelet multiresolution function, two initial feature vector matrixes of system state observation signal, i.e.approximation approach component matrix and detailed information component matrix, are proposed.
根据小波变换的多分辨率分解特性，提出了系统状态观测信号的二初始特征向量矩阵&粗分辨逼近矩阵和边缘细节信息矩阵。 - But under the practical condition, the observation matrix is not full rank, and the;
而由于实际条件的限制，观测矩阵非满秩，最小二乘估计无效。 - From DGD embedment-free observation, the nuclear matrix, the cytoskeleton in cytoplasm, as well as in plasmodesmata and cytoplasmic channels, connected the PMCs into an entity.
DGD去包埋观察发现，花粉母细胞中核骨架与细胞质内及胞间连丝和胞质通道内胞质骨架连接成一个整体。 - The observation matrix of calibration on relative position measurement is achieved from error model.
从误差建模出发，得到基于相对位置测量的标定参数识别矩阵。 - An observation of gallstone matrix with electromicroscope
胆结石基质的扫描电镜观察 - Characteristic parameters of separating similar frequency sinusoidal signal can be identified by satisfying termination criterion of 2-norm minimum and solving overdetermined equations on observation matrix.
该算法在观测矩阵的基础上，利用2范数最小的终止准则，通过求解超定方程组，辨识频率相近信号组成的特征参数。 - A new method for sinusoidal detection is presented based on the SVD of the observation data matrix.
本文以对观测数据矩阵直接进行奇异值分解为基础提出了一种正弦检测的新方法。 - The observation covariance matrix is a important factor of influence on navigation precision in position potential navigation. An EKF algorithm is made for attitude Kalman filter, which measurement-noise covariance matrix can be weighted adaptively.
在进行位置势导航滤波时，观测值的方差阵是影响导航滤波精度的重要因素。结合姿态角子系统特点设计了量测噪声方差阵自动加权的自适应扩展卡尔曼滤波算法。 - This paper puts forward the state equation and observation equation in matrix and simple, and gives the system filtering equation when Kalman filtering is applied to the GPS monitoring system.
导出了卡尔曼滤波应用于GPS监测系统的状态方程和观测方程的纯量形式和矩阵形式，给出了系统的滤波方程。 - Research on Location of Traffic Observation Points for Origin-Destination Matrix Estimation
OD矩阵估计中交通观测点的设置问题研究 - This algorithm estimates the DLM of the observation model and the covariance matrix of prediction model as weight indicators. Comparing these indicators, the value based on observation model to amend the predictive position is adjusted dynamically to get the final robot position.
该算法估计机器人观测模型的可定位性矩阵以及预测模型协方差，将两者作为权衡指标，在机器人的预测位姿基础上，动态调节观测信息对预测位姿的修正值，得到机器人位姿。 - According to the selection of coefficient of dictionary and the observation matrix, build the original deviation signal and the relationship between the distortion coefficient, and then optimization to solve the distortion coefficient.
根据选取的稀疏字典和观测矩阵，构建原始的误差信号和畸变系数之间的关系，然后优化求解畸变系数。 - Design suitable observation matrix. 6.
设计合适的观测矩阵。 - Access to the channel gain distribution from the received pilot signal, and by this to construct the adaptive observation matrix, then combined with the distributed compressed sensing technology to build multi-channel joint estimation model, finally the correlation algorithm is used to estimate the channel.
该方法属于基于训练序列的信道估计方法，根据接收信号获取信道增益分布特点，构造自适应观测矩阵，利用Dcs理论构建虚拟信道建立多信道联合估计模型，最后利用相关算法得到估计信道。 - After the inter-frame step determines the observation number, the intra-frame adaptive step chooses the row vectors from the completely observation matrix according to the degree of the correlation between the row vector and the speech signal.
在帧间自适应确定观测个数之后，帧内自适应根据本帧语音的能量特性自适应地从全局观测矩阵中选取能量最大的行向量构成最佳观测矩阵。 - Knowing the approximate sparsity of speech signal in the DCT domain, the method first uses the optimized observation matrix algorithm to find the optimized observation matrix corresponding to the DCT matrix and then uses the acquired matrix to project the speech signals.
该方法利用了语音信号在DCT域的近似稀疏性，结合最优观测算法找出DCT基对应的最优观测矩阵，然后采用求得的最优观测矩阵对语音信号进行投影观测。 - But the application has a premise that the random error exists only in the observation vector, without considering the coefficient matrix interfered by error ( the Gauss-Markov model, G-M model).
但它应用在测量数据处理上有一个前提，假设只有观测向量包含误差，不考虑系数矩阵受误差干扰，即为高斯马尔科夫模型（G-M模型）。 - Secondly, by computing the SVD decomposition of the control location matrix and observation matrix, the orthogonal bases of state vectors can be constructed.
其次，通过对输入矩阵和量测矩阵的奇异值分解，我们可以得到两组正交基向量。 - TEM observation shows that SWNT-g-PtBMA disperse homogeneously in polymer matrix with nanometer scale.
经TEM观察得到，SWNT-g-PtBMA能够以纳米尺度的团聚体较均匀的分散在聚合物基体中。 - Describes the basic framework of the theory of Compressed Sensing, then highlights the main elements of the theory of Compressed Sensing which including signal Sparse representation, the design of observation matrix, Signal reconstruction and the applications of Compressed Sensing theory in real life.
其次对压缩感知理论的基本框架进行分析，着重阐述压缩感知理论的主要内容：信号稀疏表示、观测矩阵的设计、信号的重构以及压缩感知理论在实际生活中的应用。