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main
说明: 绘制升余弦滚降波形的眼图并功率图
xtuanna(Drawing Cosine waveforms and eye diagram xtuanna power)
- 2010-04-22 11:03:48下载
- 积分:1
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ASSINGMENTB_RafalMajorczyk_-Sharp8
Goal of the project was to implement numerical methods for solving systems of nonlinear algebraic equations using MATLAB software. As in previous assignment first of all I need to research for functions, which would be helpful during evaluation of each task, later on I was able to implement and test numerical algorithms for solving given problems. Each student got three different equations to solve, and create another one with use of them for finding its zero place with various methods. Each method, result, comment and conclusion is placed in this report. At the end of the report one can find my MATLAB programs, and all references which were used as a help for me during evaluation.
- 2011-05-11 20:47:37下载
- 积分:1
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segyoutput
Writes seismic data from Matlab workspace to a segy format file on disk.
- 2011-10-23 19:07:05下载
- 积分:1
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MLS3DShape
用于三维拟合曲线的型函数构造源代码文件,可用于三维matlab编程。(Fitting curves for three-dimensional structure of the source code file type function, can be used for three-dimensional matlab programming.)
- 2013-11-02 18:58:37下载
- 积分:1
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tiaozhibianma
研究无线通信中的调制编码的性能,分析编码调制在信道中的性能。(Study of wireless communication in the modulation coding performance, analyzing the performance of coded modulation in the channel.)
- 2009-11-15 11:31:52下载
- 积分:1
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matlab code
无线传感器网络技术仿真算法,包括aoa,doa,tdoa等matlab代码仿真(Wireless sensor network technology simulation algorithm, including AOA, DOA, TDOA and other matlab code simulation.)
- 2018-04-03 15:18:40下载
- 积分:1
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TSPM
说明: tabu search scheduling problem using matlab
- 2020-06-23 06:20:02下载
- 积分:1
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Release
LTE Simulation made by xxxxxxxxxxx
- 2013-12-05 11:05:32下载
- 积分:1
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dingjie
prony算法的定阶程序,很有用的,适合搞prony拟合相关算法的研究人员参考(a precess of order deceside of prony)
- 2011-06-24 20:51:56下载
- 积分:1
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Multi-objective-genetic-algorithm
Real world problems often present multiple, frequently conflicting, objectives.
The research for optimal solutions of multi-objective problems
can be achieved through means of genetic algorithms, which are inspired
by the natural process of evolution: an initial population of solutions is
randomly generated, then pairs of solutions are selected and combined in
order to create new solutions slightly different the initial solutions.
The fittest solutions are kept in the population and are used to generate
new solutions
- 2015-02-10 21:55:32下载
- 积分:1