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spec2rgb
光谱信息转换为色彩信息的MATLAB程序代码，很方便实用(good one)
- 2010-09-14 18:05:47下载
- 积分：1
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APFC
单相Boost升压结构的有源功率因数校正电路仿真设计实例(The structure of single-phase Boost Boost Active Power Factor Correction Circuit Simulation Design Example)
- 2011-06-08 20:48:18下载
- 积分：1
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truetime
Truetime2.0 使用说明和文献资料(Truetime2.0 use)
- 2020-07-27 09:38:40下载
- 积分：1
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filter-deniose
matlab下实现降噪，功率谱计算。％程序中设定采样点数为256个，采样频率为10000hz，
％输入信号为随机噪声和两个正弦的合成信号
％设定的滤波器的截止频率为3500hz
％通过挈比雪肤滤波器，运行程序，比较滤波前后的频域波形
％滤波去除了高频信号(matlab achieve noise reduction, power spectrum calculation. Sampling procedure set for 256 points, the sampling frequency of 10000hz, input signal for the random noise and the two sinusoidal signals synthetic filter set a cut-off frequency 3500hz manner than through the filter雪肤, run procedures, compared before and after filtering in frequency domain waveforms filtering in addition to high-frequency signals)
- 2008-12-25 21:22:12下载
- 积分：1
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06
说明： matlab 仿真实例：六自由度机器人源程序(matlab source robot simulation six degrees of freedom. rar)
- 2011-06-03 18:38:23下载
- 积分：1
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fn_scramble
To do scrambling and inverser scrambling of array using a key (seed)
- 2010-01-05 15:00:08下载
- 积分：1
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SSDnRTE3D
求解辐射传递方程SSDN离散matlab程序(Solving the radiative transfer equation SSDN discrete matlab program)
- 2021-04-13 12:38:56下载
- 积分：1
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forwardbackward
forward backward power flow for DSLF
the codes are from matwork
- 2011-12-10 03:46:29下载
- 积分：1
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chap8_2_ga
说明： 遗传算法（Genetic Algorithm，GA）最早是由美国的 John holland于20世纪70年代提出,该算法是根据大自然中生物体进化规律而设计提出的。是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法。该算法通过数学的方式,利用计算机仿真运算,将问题的求解过程转换成类似生物进化中的染色体基因的交叉、变异等过程。在求解较为复杂的组合优化问题时,相对一些常规的优化算法,通常能够较快地获得较好的优化结果。遗传算法已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。(Genetic algorithm (GA) was first proposed by John Holland of the United States in the 1970s. It is designed and proposed according to the evolution law of organisms in nature. It is a computational model of biological evolution process simulating natural selection and genetic mechanism of Darwin's biological evolution theory. It is a method to search the optimal solution by simulating natural evolution process. The algorithm transforms the solving process of the problem into a process similar to the crossover and mutation of chromosome genes in biological evolution by means of mathematical method and computer simulation. When solving complex combinatorial optimization problems, compared with some conventional optimization algorithms, it usually can get better optimization results quickly. Genetic algorithm has been widely used in combinatorial optimization, machine learning, signal processing, adaptive control and artificial life.)
- 2020-12-18 11:34:29下载
- 积分：1
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komple_sis
heat conversion and fare calculator for simulink
- 2010-07-14 17:08:00下载
- 积分：1
