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matlabcalendar
使用matlab做出显示在屏幕上的精美日历(Using matlab to display beautifully on the screen calendar)
- 2007-12-20 18:07:32下载
- 积分:1
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1152G
LDPC 64QAM 仿真的matlab源代码(Simulation of LDPC 64QAM)
- 2010-03-11 14:55:59下载
- 积分:1
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SeismicLab
说明: 基于MATLAB的地震数据处理工具箱,包含对地震数据的读取、绘图、滤波、变换功能(semistic data processing toolbox based on matlab.It will help you to read su style semistic data and show to the screen,as well as do some transform and filtering.)
- 2010-04-04 23:51:32下载
- 积分:1
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OOK_NonCoherent_ThresholdChoice
Threshold choice of non-coherent detection of on=-off keying (OOK) signal
- 2013-07-26 19:20:49下载
- 积分:1
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muller
this code is written to solve non linear equation using muller method.
- 2011-11-21 18:58:02下载
- 积分:1
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FCM-sugeno
fuzzy logic program for sugeno
- 2011-11-29 05:49:27下载
- 积分:1
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MATLAB Code
基于matlab的雷达系统分析与设计书例程(Radar Systems Analysis and Design Using MATLAB)
- 2018-06-03 22:41:00下载
- 积分:1
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pronyprogram
说明: 适用于电力系统仿真曲线的振荡频率分析的PRONY 分析程序(Prony analysis program for oscillation frequency analysis of power system simulation curve)
- 2021-04-16 10:18:53下载
- 积分:1
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noTHtransmitPAM
此函数用于产生脉冲超宽带系统的训练序列的波形。输出参数有三个:bits--发送的数据,stx--发送的信号,ref--参考信号
发送端调制方式为TH-PAM(The emerging ultra-wideband (UWB) system offers a great potential
for high data rate wireless multimedia applications of the home
entertainment and industry, as well as for low data rate sensor
networks involving low power devices~cite{paragraph1}. One of the
most acute challenges in realizing these potentials of the UWB
systems is the timing acquisition. Timing errors as small as
fractions of a nanosecond could seriously degrade the system
performance~cite{paragraph21}. The difficulty in UWB
synchronization arises from UWB signals being the ultrashort
low-duty-cycle pulses operating at very low power density.)
- 2010-06-15 11:28:02下载
- 积分:1
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LNCPSO
希望给辛苦科研的人带来一点点帮助--学习因子可以变化的PSO算法,不再是c1=c2=2,粒子进化更加灵活,下面是学习因子同步变化的pso,调用形式为[xm,fv]=LNCPSO(fitness,N,cmax,cmin,w,M,D)(People who want to work hard to bring a little bit of research to help- learning factor can vary PSO algorithm is no longer c1 = c2 = 2, particle evolution is more flexible, learning factor is below synchronous changes pso, calling in the form of [xm, fv] = LNCPSO (fitness, N, cmax, cmin, w, M, D))
- 2013-09-23 19:15:32下载
- 积分:1