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attachments-(1)---Copy
matlab simulation program for ASK
- 2014-01-06 16:25:02下载
- 积分:1
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Image-recognition
图像分析与识别,从一副包含各种动物的图像中识别出想要的动物(Image analysis and recognition)
- 2012-01-02 14:08:06下载
- 积分:1
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pitch
简洁适用的基音周期提取程序,采用自相关和平均幅度差函数相结合的方法(Simple application of the pitch period extraction procedures, the use of auto-correlation and the average magnitude difference function method of combining)
- 2007-07-12 16:41:41下载
- 积分:1
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jianyishandeng
就是简单的闪灯显示,属于基础的,适合初学者(Is a simple flash display, is based, suitable for beginners)
- 2010-05-08 21:03:29下载
- 积分:1
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QPSK
说明: 描述了采用卷积码的QPSK系统的代码编写,通过运行代码可以看到系统性能(bpsk)
- 2010-03-25 19:57:20下载
- 积分:1
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annealing
说明: 用MATLAB编写的模拟退后程序,为通用模板,下载后修改即可使用。(Using MATLAB simulation back to prepare procedures for the generic template, modified to use after downloading.)
- 2008-11-09 17:21:13下载
- 积分:1
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IRLS
稀疏算法中的迭代最小二乘算法的一个小示例(A Small Example of the Iterative Least Squares Algorithm in the Sparse Algorithm)
- 2017-01-10 16:11:28下载
- 积分:1
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22355981wsn_matlab2
wsn wit mat lab code
- 2010-12-08 20:58:33下载
- 积分:1
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func_coherence(1)
Soruce code for Spectral Analysis
- 2011-08-25 17:21:22下载
- 积分:1
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accessory_parameter
lingjian.m-----蒙特卡罗方法
lingjian.m使用零件初始值,用蒙特卡罗方法算出总费用。其中使用了自己编制的正态分布随机数发生器产生正态分布随机数。lingjian.m是对蒙特卡罗方法的一次练习。
accyouhua为标定值的函数,而lingjian不是一个函数,在其中已给出了一组标定值的值。
退火确定标定值/unitanneal()----模拟退火
连续型多个变量组合优化问题
这是对模拟退火方法的一次练习,结果证明模拟退火确实是一个行之有效的方法。
当参数选择较好时(一般也伴随着运行时间的加长),模拟退火的结果较好,然而用MATLAB的FMIMCON()一般可达到更高的精度。(lingjian.m----- Monte Carlo method
lingjian.m part the initial value, using the Monte Carlo method to calculate the total cost. The use of the preparation of their own normal distribution random number generator to produce a normal distribution of random numbers. lingjian.m yes to the first practice of the Monte Carlo method.
accyouhua calibration function, and lingjian is not a function, which has given the value of a set of calibration values .
Annealing to determine the calibration value/unitanneal ()---- Simulated Annealing
Combinatorial optimization problem of continuous multiple variables
This is a practice of simulated annealing method, the results show that simulated annealing is an effective method.
Parameter selection is better (usually accompanied by longer running time) the results of simulated annealing, however the MATLAB FMIMCON () generally achieve higher accuracy.
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- 2012-02-12 15:08:59下载
- 积分:1