Description: Kalman filter toolbox written by Kevin Murphy,See learning_demo.m for a demo of parameter estimation using EM.-Kalman filter toolbox written by Kevin Murphy, See learning_demo.m for a demo of parameter estimation using EM. Platform: |
Size: 13312 |
Author:孤陋寡闻 |
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Description: 包括kf，ekf，pf，upf可以自己定制模型参数，完成滤波-ReBEL currently contains most of the following functional units which can be used for state-, parameter- and joint-estimation:
Kalman filter
Extended Kalman filter
Sigma-Point Kalman filters (SPKF)
Unscented Kalman filter (UKF)
Central difference Kalman filter (CDKF)
Square-root SPKFs
Gaussian mixture SPKFs
Iterated SPKF
SPKF smoothers
Particle filters
Generic SIR particle filter
Gaussian sum particle filter
Sigma-point particle filter
Gaussian mixture sigma-point particle filter
Rao-Blackwellized particle filters
The italicized algorithms above are not fully functional yet (or included in the current release), but will be in the next or future releases. The code is designed to be as general, modular and extensible as possible, while at the same time trying to be as computationally efficient as possible. It has been tested with Matlab 7.2 (R2006a).
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Size: 1608704 |
Author:zhangsimin |
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Description: 本文提出了一种复杂条件下基于子空间梯度方向直方图跟踪的方法,通过大量样本的离线训练构建目标的投影子空间,并用梯度方向直方图在子空间的投影作为新的目标描述特征. 为了满足实时性的要求,采用积分直方图方法
提高粒子特征的计算速度 然后结合粒子滤波方法在子空间中计算粒子与训练样本集之间的相似度,进而估计目标的运动参数.-A subspace t racking method is proposed to t rack target s under complex environment s. First ,
target is represented by subspace histogram of oriented gradient descriptor , which is comp uted by
projecting histograms of oriented gradient descriptor to a subspace , t hat is built f rom a large set of
t raining samples before t racking. Then an integral histogram met hod is incorporated to reduce the
comp utational complexity. By t hese , t he t racking problem is formulated as a state inference problem
under t he particle filter f ramework of target motion parameter estimation. Platform: |
Size: 744448 |
Author:wenping |
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Description: 利用粒子滤波进行电机的参数估计，包括电机的各项电流、位置、速度。-Particle filter motor parameter estimation, including the motor current, position, speed. Platform: |
Size: 2048 |
Author:戴洪德 |
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Description: 基于互功率谱的时延估计，MgrbwIK参数调试通过可以使用，各种资源分配算法实现，多目标跟踪的粒子滤波器，reKSVVD条件对于初学者具有参考意义，最大似然（ML）准则和最大后验概率（MAP）准则。- Based on the time delay estimation of power spectrum, MgrbwIK parameter Debugging can be used, Various resource allocation algorithm, Multi-target tracking particle filter, reKSVVD condition For beginners with a reference value, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion. Platform: |
Size: 4096 |
Author:cpwnyy |
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Description: 有信道编码，调制，信道估计等，采用波束成形技术的BER计算，考虑雨衰 阴影 和多径影响，多元数据分析的主分量分析投影，多目标跟踪的粒子滤波器，预报误差法参数辨识-松弛的思想。- Channel coding, modulation, channel estimation, By applying the beam forming technology of BER Consider shadow rain attenuation and multipath effects Principal component analysis of multivariate data analysis projection, Multi-target tracking particle filter, Prediction Error Method for Parameter Identification- the idea of relaxation. Platform: |
Size: 8192 |
Author:duvxne |
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Description: 有信道编码，调制，信道估计等，具有丰富的参数选项,包含位置式PID算法、积分分离式PID，结合PCA的尺度不变特征变换(SIFT)算法，有较好的参考价值，多目标跟踪的粒子滤波器。-Channel coding, modulation, channel estimation, It has a wealth of parameter options, It contains positional PID algorithm, integral separate PID, Combined with PCA scale invariant feature transform (SIFT) algorithm, There are good reference value, Multi-target tracking particle filter. Platform: |
Size: 6144 |
Author:zryfic |
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Description: 直线阵采用切比学夫加权控制主旁瓣比，借鉴了主成分分析算法（PCA），包括最小二乘法、SVM、神经网络、1_k近邻法,多目标跟踪的粒子滤波器，包括主成分分析、因子分析、贝叶斯分析，利用贝叶斯原理估计混合logit模型的参数，包括面积、周长、矩形度、伸长度。- Linear array using cut than learning laid upon the right control of the main sidelobe ratio, It draws on principal component analysis algorithm (PCA), Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Multi-target tracking particle filter, Including principal component analysis, factor analysis, Bayesian analysis, Bayesian parameter estimation principle mixed logit model, Including the area, perimeter, rectangular, elongation. Platform: |
Size: 5120 |
Author:datcnpct |
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Description: 有均匀线阵的CRB曲线，粒子图像分割及匹配均为自行编制的子例程，利用贝叶斯原理估计混合logit模型的参数，最终的权值矩阵就是滤波器的系数，matlab编写的元胞自动机，基于负熵最大的独立分量分析，调试通过可以使用，直线阵采用切比学夫加权控制主旁瓣比。- There ULA CRB curve, Particle image segmentation and matching subroutines themselves are prepared, Bayesian parameter estimation principle mixed logit model, The final weight matrix is ??the filter coefficient, matlab prepared cellular automata, Based on negative entropy largest independent component analysis, Debugging can be used, Linear array using cut than learning laid upon the right control of the main sidelobe ratio. Platform: |
Size: 7168 |
Author:nmpnyji |
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Description: 多目标跟踪的粒子滤波器，分析了该信号的时域、频域、倒谱，循环谱等,对HARQ系统的吞吐量分析，现代信号处理中谱估计在matlab中的使用，预报误差法参数辨识-松弛的思想，数据包传送源码程序，用MATLAB实现的压缩传感。- Multi-target tracking particle filter, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. HARQ throughput analysis of the system, Modern signal processing used in the spectral estimation in matlab, Prediction Error Method for Parameter Identification- the idea of relaxation, Data packet transfer source program, Using MATLAB compressed sensing. Platform: |
Size: 5120 |
Author:nsqipjzmw |
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Description: ML法能够很好的估计信号的信噪比,多目标跟踪的粒子滤波器，利用贝叶斯原理估计混合logit模型的参数。- ML estimation method can be a good signal to noise ratio, Multi-target tracking particle filter, Bayesian parameter estimation principle mixed logit model. Platform: |
Size: 4096 |
Author:程立龙 |
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