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moPSO
基于多目标的PSO用于解决背包问题的程序，运行上比较花时间，请耐心等待。(Procedures used to solve the knapsack problem based on multi-objective PSO run more to spend time, please be patient.)
- 2012-05-19 10:29:13下载
- 积分：1
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distributed_signals_DOA_ESPRIT
基于ESPRIT算法的相干分布式多信号源的DOA估计(Distributed coherent signals DOA estimation based on the ESPRIT algorithm)
- 2021-03-25 20:19:13下载
- 积分：1
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qpsk_ber
说明： 通信系统的仿真,在现在的毕业设计和课程设计中都有要求的(communications system simulation, the current graduation design and curriculum design, have requested the)
- 2006-05-04 20:24:26下载
- 积分：1
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frequency-hopping
基于matlab 搭建的跳频系统的源代码。(Frequency hopping systems built based on matlab source code.)
- 2012-05-12 10:06:13下载
- 积分：1
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faultysignal_with_noise
1. 构造含噪音的振动信号 faultysignal_with_noise，
2. 利用小波变换 Wavelet transform去噪，小波包 Wavelet packet transform 变换去噪，
3. 把两种去噪后的信号，分别用STFT ,FFT ,小波变换三种方法进行错误诊断(1. the vibration signal faultysignal_with_noise, which contains noise, is constructed.
2. using wavelet transform Wavelet transform denoising, wavelet packet Wavelet packet transform transform de-noising,
3. the two kinds of denoising signals are diagnosed by three methods, STFT, FFT and wavelet transform respectively.)
- 2018-03-07 10:49:31下载
- 积分：1
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RLS
说明： 递归最小二乘算法完成状态观测，用于求解状态，进行状态估计等(Recursive least square algorithm for state observation. It is used to solve the state and calculate the state estimation.)
- 2020-07-15 10:14:58下载
- 积分：1
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1
说明： amuzesh matlab farsi
- 2010-07-19 17:02:17下载
- 积分：1
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disparity_SAD
The disparity map forms the basis of many computer vision techniques. A disparity map is effectively a limited 3D model
- 2010-05-17 18:47:56下载
- 积分：1
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matlab_100
用matlab 编写的100个各种小算法与代码，供大家学习参考，希望能有用。(100 using matlab small algorithm code for all to learn, can be useful.)
- 2012-11-18 09:35:41下载
- 积分：1
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JPDA
在运动的位置叠加噪声。进行JPDA概率数据关联及kalman滤波。
两运动目标在x-y平面做匀速直线运动。初始位置是（4000,1200）（300,1500）速度分别是（200,200）（400,200）传感器对量目标进行位置状态量测。
采样间隔T=1,点数n=80.检测概率为1，正确量测落入跟踪内的概率为0.99，杂波均匀分布的密度为2个/km2由RAND函数产生在[0，1]上均匀分布的随机变量，跟踪门限为9.21。
(Superimposed noise in the position of the movement. JPDA probabilistic data association and kalman filtering. Two moving targets uniform linear motion in the xy plane. The initial position (4000,1200) (300,1500) speed (200,200) (400,200) position sensor on the amount of target state measurements. Sampling interval T = 1, points n = 80. Detection probability of correctly measured fall into the tracking probability 0.99, 2/km2 clutter uniform distribution of density generated by the RAND function [0,1] uniformly distributed random variables tracking threshold of 9.21.)
- 2021-04-26 20:18:45下载
- 积分：1
