Search - imm

Search - imm - List

【Linux-Unix】 imm DL : 0: Driver for the Iomega MatchMaker parallel port SCSI HBA embedded in the Iomega ZIP Plus drive.
Update : 2024-05-19 Size : 11264 Publisher : danzgpe
【matlab】 IMM_PF DL : 0: IMM Particle Filter for ballistic projectile tracking
Update : 2024-05-19 Size : 8192 Publisher : Ozan Bilgin
【Console】 IMMfacedata240 DL : 0: IMM人脸数据库（240张已经标点）正脸，侧脸的清晰照片，便于做分类器，写人脸识别的算法-IMM face data
Update : 2024-05-19 Size : 27313152 Publisher : linlin
【Other】 cgsvd DL : 0: CGSVD Compact generalized SVD of a matrix pair in regularization problems. sm = cgsvd(A,L) [U,sm,X,V] = cgsvd(A,L) , sm = [sigma,mu] Computes the generalized SVD of the matrix pair (A,L): [ A ] = [ U 0 ]*[ diag(sigma) 0 ]*inv(X) [ L ] [ 0 V ] [ 0 eye(n-p) ] [ diag(mu) 0 ] where U is m-by-n , sigma is p-by-1 V is p-by-p , mu is p-by-1 X is n-by-n . It is assumed that m >= n >= p, which is true in regularization problems. Reference: C. F. Van Loan, Computing the CS and the generalized singular value decomposition , Numer. Math. 46 (1985), 479-491. Per Christian Hansen, IMM, 12/19/97. Initialization. - CGSVD Compact generalized SVD of a matrix pair in regularization problems. sm = cgsvd(A,L) [U,sm,X,V] = cgsvd(A,L) , sm = [sigma,mu] Computes the generalized SVD of the matrix pair (A,L): [ A ] = [ U 0 ]*[ diag(sigma) 0 ]*inv(X) [ L ] [ 0 V ] [ 0 eye(n-p) ] [ diag(mu) 0 ] where U is m-by-n , sigma is p-by-1 V is p-by-p , mu is p-by-1 X is n-by-n . It is assumed that m >= n >= p, which is true in regularization problems. Reference: C. F. Van Loan, Computing the CS and the generalized singular value decomposition , Numer. Math. 46 (1985), 479-491. Per Christian Hansen, IMM, 12/19/97. Initialization.
Update : 2024-05-19 Size : 1024 Publisher : 常丁月
【Documents】 IMM-algorithm-based-target-tracking DL : 0: 文档里，给出了基于交互式多模型方法的目标跟踪原理建模的方法，并附带了分析和仿真程序，很不错的，值得下载学习-Documentation, tracking principle gives the modeling method based on the target interactive multiple model approach, and comes with analysis and simulation procedures, very good, it is worth learning download
Update : 2024-05-19 Size : 246784 Publisher : 蓝珊一
【source in ebook】 kalman-code DL : 0: 卡尔曼运动状态程序，包括CA、CV、IMM模型，可用于科学研究和工程分析。-kalman dynamic state programs, including CA\CV\IMM models, used for theoratical research and engineering analysis.
Update : 2024-05-19 Size : 15550464 Publisher : 刘杨
【matlab】 CKF-IMM DL : 1: 基于CKF的多模型滤波的英文文献及其代码，能够正确运行。是学习滤波及目标跟踪的好资料。-CKF based on Multiple Model Filtering in English literature and code, to run correctly. Learning and target tracking filter good information.
Update : 2024-05-19 Size : 83968 Publisher : 姜浩楠
【Other systems】 Air-Traffic-Control DL : 0: air traffic control，使用了扩展卡尔曼滤波，交互多模算法，量测为雷达测量值，多飞机进行跟踪。-Air traffic control. EFK and IMM are implemented
Update : 2024-05-19 Size : 701440 Publisher : Zongyuan Shen
【MultiLanguage】 anailime DL : 0: 基于TSF输入法的库,困扰在Win8下不支持IMM或研究TSF的同学可以看下-chinese input method based on tsf
Update : 2024-05-19 Size : 18432 Publisher : yh
【Other】 IMM-SRCKF DL : 1: 载机跟踪高速高机动目标时，使用交互式多模型算法，该算法中又用平方根容积卡尔曼滤波器进行滤波。-When the carrier aircraft tracking high-speed maneuvering targets, using interactive multiple model algorithm in the Kalman filter is also used to filter the square root of the volume.
Update : 2024-05-19 Size : 5120 Publisher : 梁云
【Other】 [elearnica.ir]-4b6b3e354eb48c4917d76defe9c1beea.r DL : 0: We consider the problem of tracking mu ltiple maneuvering targets in the presence of clutter u sing switch ing multiple target motion mo d els. A n ovel sub optimal fixed-lag smo othing algorithm is develop ed by applying the b asic interacting multiple mo d el (IMM) approach and joint probabilistic d ata asso ciation (JPDA) technique to a state augmented system. But unlike the standard single scan JPDA approach, we exploit a multiscan JPDA (Mscan-JPDA) approach to solve the d ata asso ciation problem. The algorithm is illustrated via a simulation example.
Update : 2024-05-19 Size : 240640 Publisher : rasool
【Other】 [elearnica.ir]-26c1f9128a265c0bb2e1e00a2c0ab73d.r DL : 0: Efficient Multi-target Tracking with Sub-event IMM-JPDA and One-point Prime Initialization
Update : 2024-05-19 Size : 323584 Publisher : rasool
【Industry research】 ctimm DL : 0: 关于使用了转弯模型的一种IMM算法，希望和大家相互学习、相互交流-ct in imm
Update : 2024-05-19 Size : 106496 Publisher : sunyongli
【AI-NN-PR】 IMM_EKF DL : 1: 应用交互多模和扩展卡尔曼滤波器对机动目标进行跟踪-Application of IMM and extended Kalman filter to track moving targets
Update : 2024-05-19 Size : 698368 Publisher : z shen
【Other】 IMM3-Kalman DL : 0: 交互式多模型卡尔曼滤波, IMM3_KF-IMM Kalman filter, IMM3_KF
Update : 2024-05-19 Size : 5120 Publisher : 123
【Software Engineering】 IMM-track DL : 0: 在滤波估计方面，针对增益矩阵计算运算量大的问题，采用并行滤波器，提出基于机动检测理论的算法。算法复杂度低，易于工程实现，算法在复杂度上有很大的降低，但过程噪声对跟踪性能影响较大。因此，引进机动检测策略，结合不同过程噪声下的算法，能有效降低运算时间，提高跟踪精度。 -Adaptive template update strategy which can adjust the reference template based on the changes of the tracking target is used to improve the stability of target tracking. The simulation results indicate that the algorithm can quickly adjust the reference template according to the changes of the shape size and position and the target is tracked stably and real-time. The target also can be tracked efficaciously， when it is occluded.
Update : 2024-05-19 Size : 6811648 Publisher : 陈想
【matlab】 ekfukf_1_3 DL : 0: Kalman 滤波和平滑工具箱，包括了 Kalman 滤波和平滑 EKF 和平滑 CKF 和平滑 UKF 和平滑 GHQF 和平滑 IMM 滤波和平滑-EKF/UKF is an optimal filtering toolbox for Matlab. Optimal filtering is a frequently used term for a process, in which the state of a dynamic system is estimated through noisy and indirect measurements. This toolbox mainly consists of Kalman filters and smoothers, which are the most common methods used in stochastic state-space estimation. The purpose of the toolbox is not to provide highly optimized software package, but instead to provide a simple framework for building proof-of-concept implementations of optimal filters and smoothers to be used in practical applications. Including: 1. Kalman filters and smoothers 2. Extended Kalman filters and smoothers 3. Unscented Kalman filters and smoothers 4. Gauss-Hermite Kalman filters and smoothers 5. Cubature Kalman filters and smoothers 6. Interacting Multiple Model (IMM) filters and smoothers
Update : 2024-05-19 Size : 150528 Publisher : yinchao
【Other】 IMM DL : 0: 基于matlab的交互多模型算法，用于目标跟踪，能够很好的跟踪高机动目标，- interactive multiple model algorithm Based on matlab using for target tracking, it can be a good method for high maneuvering target tracking,
Update : 2024-05-19 Size : 4096 Publisher : anton
【Software Engineering】 doc DL : 0: 交互多模型，该算法在机动目标跟踪的效果仿真，理论清晰简洁，初学者必选论文-IMM for applicatin
Update : 2024-05-19 Size : 1610752 Publisher : yuan
【Other】 Untitled2 DL : 0: 交互多模型KALman滤波在目标跟踪中的应用仿真程序，代码齐全，可以学习，可以直接使用-IMM KALman filtering in target tracking application simulation program, the code is complete, you can learn, can be used directly
Update : 2024-05-19 Size : 2048 Publisher : 赵丹

« 1 2 ... 7 8 9 10 11 1213 »