搜索资源列表
PS0-SVR
- ：针对发酵过程中生物参数难以实时在线测量的问题，建立了用于生物参数状态预估的 支持向量机软测量模型。考虑到该支持向量回归(SVR)模型的复杂性和冷化特征取决于其三 个参数 ，c， 能否取到最优值，采用粒子群优化(PSO)算法实现对参数 ，c， 的同时寻优。在 此基础上，以饲料用 ．甘露聚糖酶为对象，建立了基于PSO—SVR的发酵过程产物浓度状态预估 模型。发酵罐控制结果表明：该模型具有很好的学习精度和泛化能力，可实现对 ．甘露聚糖酶 产物浓度的实时在线预估。-In
BlockMatchingAlgoMPEG
- Block Matching Algorithms for Motion Estimation This project contains the project report and source code by Aroh Barjatya for Digital Image Processing Class at Utah State University. Following is a short descr iption of the m files in this
1
- bayesian sequential state estimation for mimo wireless communications
KalmanAll
- 关于卡拉曼滤波的~运动目标状态估计方法的研究-Karaman filter on ~ moving target state estimation method for
testIEEE14
- 状态估计在IEEE14网络上的加权最小二乘法计算-state estimation for IEEE14 using Weighted Least Squares method
344556775444
- 跟踪问题本质上是一个混合系统的状态估计问题[38】，即利用传感器的离散 观测来估计所感兴趣区域内目标个数和状态的过程，其中目标状态包括运动分量 (位置、速度、加速度)和属性信息(信噪比、谱特征，身份信息等)。目标跟 踪问题根据跟踪环境的不同可以分为单机动目标跟踪和多机动目标跟踪。-Tracking is essentially a hybrid system of the state estimation problem [38】, namely the use of sensors
UKF
- 从改进提议分布的成片野值容错能力入手，提出了基于残差正交判别的UPF容错滤波算法，该算 法将残差正交判别法UKF的野值自适应性和粒子滤波的“适者生存性”有机地结合起来．通过非线性状态估计 的实验，证实了这种新的自适应粒子滤波对成片野值处理的有效性，-Proposal from the improved value of the distribution of fault tolerance into the film field, put forward an identificatio
Karlmanfilter
- kalman 滤波，用于线性系统状态的估计-kalman filter, state estimation for linear systems
kalmanintroduction
- In his 1960 famous publication (“A new approach to linear filtering and prediction problems”, Trans.ASME J. Basic Engineering., vol 82, March 1960, pp 34-45), Rudolf Kalman based the construction of the state estimation filter on probability theory,
xindaoguji
- 利用卡尔曼滤波器进行信道估计 提示：信道估计的状态方程和测量方程可分别表示为 要求：给出信道均方误差随样本数增加的曲线，给出matlab程序及具体的估计过程。 -Use of Kalman filter channel estimation Tip: the state of the channel estimation and measurement equations could be specified as required: given the channe
KalmanFilter
- state estimation versus different SNR by using Kalman Filter
state_estimate_PQ
- 电力系统状态估计快速解耦法（PQ分解：有功和无功的分解；雅克比矩阵常数化）-power system state estimation （PQ）
PR_Toolbox
- PRTools is the basic software package used in the book "Classification, parameter estimation and state estimation - an engineering approach using Matlab" (2004) by Ferdi van der Heijden, Robert P.W. Duin, Dick de Ridder and David M.J. Tax.-PRTools is
Untitled333
- 基于非线性干扰观测器的直升机滑模反演控制-Based on nonlinear disturbance observer helicopter sliding inversion control
allupf_demos
- 主要用于各种的状态估计滤波，在目标跟踪和定位方面有很强的应用，在实际项目中有应用的范例-Mainly used for a variety of state estimation filter, target tracking and positioning in a strong application in practical projects are examples of applications
ukf
- An implementation of Unscented Kalman Filter for nonlinear state estimation.-Nonlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded
kf.m
- kalman filter for state space estimation. descrat time, with Monte Carlo
opt
- very good state estimation book
1299
- A Particle Filter Based Algorithm for State Estimation of Dim Moving Point Targets in IR Image Sequence
STATEEST
- State estimation sample