-
faxiangliang_code
用matlab写的产生法向量程序，简单适用，可用于求中心点(Using matlab program written in vector generation method, simple and applicable, can be used to seek center)
- 2020-07-28 21:48:39下载
- 积分：1
-
Chapter2
Biosignal and biomedical image processing书第二章的源码(Biosignal and biomedical image processing source code for the book chapter)
- 2010-10-20 18:50:33下载
- 积分：1
-
static_function_id
indentify nonlinear system online with DFNN
- 2010-06-26 16:50:39下载
- 积分：1
-
svd
奇异值分解（SVD）的MATLAB仿真性能分析(Singular value decomposition (SVD) of the MATLAB simulation performance analysis)
- 2011-07-04 16:28:06下载
- 积分：1
-
2D_MUR
的二维时域有限差分法仿
作者：厄恩斯特汉堡，十月1999。
cem833课程，大学的图片。( 2D FDTD simulater
Author: Ernst Burger, October 1999.
CEM833 course, Univ. Stellenbosch.)
- 2012-06-18 12:32:44下载
- 积分：1
-
Djuric---PF
数字信号处理中粒子滤波方法 (The Particle Filtering Methodology in Signal Processing)
- 2014-01-04 23:12:11下载
- 积分：1
-
matlab
学习matlab的完整文档．包含了全部命令，大家有兴趣积极下载．．(Matlab full document Learning. Contains all the orders, we are interested in the active download. .)
- 2009-04-20 16:40:04下载
- 积分：1
-
radar-simulation
学习雷达系统设计非常好的一本书，书中有很多例子，并附有MATLAB编写的雷达仿真程序(Learning radar system design is very good book, there are many examples in the book, along with a radar simulation program written in MATLAB)
- 2013-12-26 14:03:36下载
- 积分：1
-
mckd
分析信号谱峭度根据最相关性，提取敏感频段，进一步分析。(The kurtosis of the signal spectrum is analyzed according to the most relevance, and the sensitive frequency bands are extracted for further analysis.)
- 2018-08-30 15:29:48下载
- 积分：1
-
ANN-in-maneuvering-target-tracking
在机动目标跟踪中，机动目标模型是机动目标跟踪的基本要素之一，一般希望机动目标模型能准确表征目标机动时的各种运动状态。比较常用的模型有匀速运动(CV)模型、匀加速运动(CA) 模型、时间相关模型（Singer）和机动目标“当前”统计模型。上述模型均采用机动频率表征目标的机动情况。在应用当中，通常采用固定的机动频率，这就表示机动目标的机动时间是一定的，而实际上机动目标的机动时间是不断变化的，也就是说机动频率是不断变化的，采用固定机动频率必然会带来误差。采样周期在0.5—2S时，机动频率越小跟踪精度越高[1]，但机动频率仍然是固定值。本文提出的基于神经网络的机动频率自适应调整方法可以使机动频率随机动而变化，从而提高状态估计的准确性，提高跟踪精度。本文将小波神经网络用于机动目标跟踪中机动频率的自适应调整，该算法对机动目标“当前”统计模型中的机动频率进行实时修改, 从而自适应的改变机动频率,使跟踪算法与目标的真实状态更接近。该算法采用小波神经网络的离线训练，实时性好。(The maneuver of the maneuvering target is uncertain. The maneuvering frequency is constantly changeable, but traditionally it is beforehand determined as a constant based on the target state estimation in the state model of the maneuvering target. The maneuver of the maneuvering target makes the kinematics equation of the target model mismatch with the practical motion model and the tracking error will be increased. Based on the advantages of the self-learning, the rapid convergence rate and the nonlinear approximation ability of the wavelet neural network, it was put forward to be used in the field of target tracking in the paper. The new residual is used as the input of the wavelet neural network, the output of the network is used to adjust adaptively the maneuvering frequency of the CS model. The algorithm is more close to the real state of the target. The simulation results showed that tracking error can be reduced and the tracking accuracy can be improved.)
- 2009-12-19 07:11:54下载
- 积分：1
