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ReadNavME
matlab写的单点定位程序，可以读取星历文件计算接收机坐标(Matlab write single point positioning program, can read the star calendar file calculation receiver coordinates)
- 2012-01-09 22:57:15下载
- 积分：1
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f_mart3
与ART算法相对应，采用乘法迭代算法MART进行层析成像反演的必备程序。(And ART algorithm corresponds iterative algorithm using multiplication MART tomography inversion essential procedures.)
- 2014-02-25 10:53:52下载
- 积分：1
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sdv
平稳性检测，关于matlab的平稳性检测源代码，时间序列多个代码(Stability testing, stability testing on matlab source code, time series, more than one code)
- 2013-07-31 08:36:25下载
- 积分：1
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sa_Ex3_2
matlab 源代码分析，适用于rf工程师学习天线设计，结合hfss的源代码分析(matlab source code analysis for engineers to learn rf antenna design, combined with source code analysis hfss)
- 2014-02-14 04:57:57下载
- 积分：1
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chronix-player-code-r13
To modify your build process, add your task inside one of the targets below and uncomment it
- 2018-12-22 05:24:25下载
- 积分：1
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ant-colony-algorithm-
使用网格离散化的方法对带有障碍物的环境建模，使用邻接矩阵存储该环境，使得问题转化为蚁群算法寻找最短路径。(Using a grid discretization method modeling environment with obstacles, the environment, the adjacency matrix storage problem into the ant colony algorithm to find the shortest path.)
- 2013-03-06 11:18:28下载
- 积分：1
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mpu9250DMP
mpu9250DMP 陀螺仪代码 测试通过，可以直接使用(mpu9250DMP gyroscope Source Code)
- 2016-11-24 19:13:17下载
- 积分：1
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QPSK-I-Q
matlab仿真程序，产生QPSK调制的信号，严格按照QPSK的调制步骤分I路Q路产生信号，最后两路相加，产生已调信号，调制信号随机产生，载波信号是余弦信号。(matlab simulation program to produce the QPSK modulation signal, in strict accordance with the QPSK modulation of the sub-step road Q road I have a signal, the sum of the last two, have been transferred signal, randomly generated modulated signal, carrier signal is a cosine signal.)
- 2009-04-02 15:14:23下载
- 积分：1
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circonv
是一个完成循环卷积的MATLAB程序
实现方法实在时域完成的，不同于简单的频域实现，有较好的注释，一看就能懂，用的是矩阵的方法实现的(Is a cyclic convolution achieve implementation of the MATLAB program with it, the finish time domain, frequency domain is different from the simple implementation, there is a good note, one can look to understand, are used in the implementation matrix)
- 2009-03-30 10:59:06下载
- 积分：1
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ELM
In theory, this algorithm tends to provide good generalization performance at extremely fast learning
speed.(The experimental results based on a few artificial and real benchmark function approximation and classification problems
including very large complex applications show that the new algorithm can produce good generalization performance in most cases and
can learn thousands of times faster than conventional popular learning algorithms for feedforward neural networks)
- 2013-03-15 10:21:39下载
- 积分：1
