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notes.m
Compiled database of musical notes for use in Matlab
- 2009-11-27 14:12:37下载
- 积分：1
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matlabwb
说明： 该文件为掌握与精通Matlab的电子版，为word格式，对于学习掌握Matlab非常有用。(The document for the master who was fluent in the electronic version of Matlab, in order to word format, very useful for learning and mastering the Matlab.)
- 2010-03-26 16:00:23下载
- 积分：1
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CH3MATLAB
MATLAB经典示例
以示参考
十分有用(MATLAB classic example to show reference useful)
- 2013-02-25 09:14:08下载
- 积分：1
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pinyubuling
研究在频域补零对时域的影响，研究其性质，对实际应用很有帮助(Zero padding of the study in the frequency domain of the influence on the time domain, to study the nature, the actual application helpful)
- 2013-04-14 10:24:44下载
- 积分：1
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PSO-GA
粒子群算法求解多维约束函数极值，并与遗传算法比较。结果发现，粒子群有很好的精度。(A particle swarm optimization algorithm for solving the extreme value of multi dimensional constrained function, and compared with genetic algorithm. The results show that the particle swarm has a good accuracy.)
- 2021-04-21 19:48:49下载
- 积分：1
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my_2bpsk
my_2bpsk.rar文件包含了一个m文件和一个低通滤波器数据文件，实现的数字通信系统的升余弦基带成型，bpsk数字调制，以及高斯白噪声、接收端相干解调系统处理的各个阶段，并用plot语句画出了相关波形,对于理解数字通信系统有很大的好处。(my_2bpsk.rar file contains an m file and a low-pass filter data file, to achieve the digital communication system raised cosine baseband shaping, bpsk digital modulation, and Gaussian white noise, the receiver coherent detection system at all stages of processing and used to draw the relevant waveform plot statement, the understanding of digital communication systems is highly desirable.)
- 2010-09-07 09:26:14下载
- 积分：1
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Runge_Kutta
编写四阶 Runge_Kutta 公式的计算程序，对线性状态方程进行仿真
(Preparation of fourth order Runge_Kutta formula calculation procedures, the linear equation of state for simulation)
- 2013-11-08 15:06:52下载
- 积分：1
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penalty_factor
calculating penalty factor for slack bus
- 2013-12-24 00:43:07下载
- 积分：1
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calculation
在计算切削力的过程中，需要计算切削力系数，主要用于切削力系数的计算(calculation of cutting force coefficient)
- 2021-02-04 16:59:57下载
- 积分：1
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InvFunction
Given an output function f(x) and a cost function J(x) (and gradients), optimal inverse functions are found which produce the input x* with the lowest cost based on the current desired output. Output and cost functions produce a scalar. The method is demonstrated on 2D problems (for convenient visualization). With 2D plots removed (all but Figure 41), the code can run higher dimension systems also.
- 2013-01-22 13:46:02下载
- 积分：1
