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demo
在matlab环境下，用最邻近数据关联算法实现目标跟踪。(the Matlab environment, using the most neighboring data association algorithm to achieve the target track.)
- 2007-07-09 11:51:15下载
- 积分：1
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chapter03
antenna design-chapter 3
- 2009-11-25 17:42:38下载
- 积分：1
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power_sixpulses
power_sixpulses.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_sixpulses.rar,Power electronics field matlab simulation file, has already been
verified, the normal operating procedures)
- 2013-07-14 12:36:25下载
- 积分：1
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saccade
eye saccade control system simulink model
- 2010-10-20 15:22:14下载
- 积分：1
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PCA
基于PCA的人脸识别 Matlab代码 两种方法 KL 和kernel(PCA-based face recognition Matlab code)
- 2012-05-28 16:55:14下载
- 积分：1
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mutual__inc
matlab熵，联合熵和互信息的程序，亲自测试过(entropy,mutual information entropy,good matlab code,play enjoy)
- 2013-09-21 21:08:27下载
- 积分：1
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my_2bpsk
my_2bpsk.rar文件包含了一个m文件和一个低通滤波器数据文件，实现的数字通信系统的升余弦基带成型，bpsk数字调制，以及高斯白噪声、接收端相干解调系统处理的各个阶段，并用plot语句画出了相关波形,对于理解数字通信系统有很大的好处。(my_2bpsk.rar file contains an m file and a low-pass filter data file, to achieve the digital communication system raised cosine baseband shaping, bpsk digital modulation, and Gaussian white noise, the receiver coherent detection system at all stages of processing and used to draw the relevant waveform plot statement, the understanding of digital communication systems is highly desirable.)
- 2010-09-07 09:26:14下载
- 积分：1
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ofdm_paper1
Performance Evaluation of an Orthogonal Frequency Division Multiplexing based Wireless Communication System with implementation of Least Mean Square Equalization technique
- 2015-03-26 22:23:11下载
- 积分：1
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InteractiveSmoothing
Interactive smoothing for time-series
- 2009-10-03 20:49:07下载
- 积分：1
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HalfAdaptiveInteractiveMultipleModelTrackingAlgori
曲线模型的半自适应交互多模型跟踪方法
我存的一篇论文，拿来与大家共享(When using interactive multiple model (IMM) to track targets,to select smallermodel set to better cover the move-
ment property and the maneuvering level of various targets and meanwhile to reduce computation complexity are both worthwhile and
also necessary research tasks to project implementation.The main work is done through the IMM algorithm of curvilinear model,the
construction of angle velocity estimation model and the extension of it to state equations,whichmake it possible for normal acceleration
to be self-adaptively adjusted,hence it reduces the model setto associate onlywithMcurvilinearmodels selatingtotangential acceler-
ation.Computation burden is reduced and algorithm’s applying range is extended.The simulation further proves the conclusion
)
- 2009-06-01 20:15:20下载
- 积分：1
