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339311-
一共有15个m文件，80几个函数，5000多行代码。包含了一般软件的几大块：界面、参数、算法、仿真、演示等。熟悉GUI的朋友感兴趣的问题都有所涉及：比如参数传递，多个界面的操作，m文件构造复杂界面，存取文件，多个axes，读取图片，显示图片(A total of 15 m paper, 80 in several functions, more than 5000 lines of code. Contains several large pieces of software in general: the interface, parameters, algorithms, simulation, presentation and so on. Familiar with the GUI of the Friend of interest issues are involved: for example, transmission parameters, the operation of a number of interface, m file structure is complicated interface, access to documents, multiple axes, to read pictures, show the picture)
- 2007-10-20 12:01:20下载
- 积分：1
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qpsk
QPSK调制解调,用matlab进行仿真的，希望对大家有用(modulation and demodulation of QPSK)
- 2010-08-02 22:15:42下载
- 积分：1
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222240219133200511172057262893115
集中了kalman,condensation,帧差方法的小球跟踪程序.(concentrated Tracking, condensation, the frame difference of small ball tracking procedures.)
- 2007-03-13 14:18:33下载
- 积分：1
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Gap_2D_Cal
基于傅里叶变换的matlab下的二维周期性光子晶体带隙的计算绘图程序，属于冷门资料，网上很少见。(Based on Fourier transform matlab under the two-dimensional periodic photonic bandgap calculation drawing program, belonging to popular information, online rare.)
- 2013-09-23 10:36:11下载
- 积分：1
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pml2D
计算电磁学 二维PML程序 采用MATLAB编写(PML-dimensional computational electromagnetics programs written using MATLAB)
- 2014-10-26 12:09:34下载
- 积分：1
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multicore_2009-03-20
Multicore - Parallel Processing on Multiple Cores (Multicore- Parallel Processing on Multiple Cores )
- 2009-03-29 04:36:58下载
- 积分：1
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guolingjiance
说明： 改进的过零检测法，克服传统的过零检测法的缺点，提高精度。(matlab)
- 2009-07-29 14:31:29下载
- 积分：1
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delay
Delay routines, using a pre-computed loops_per_jiffy value.
- 2014-09-19 10:58:58下载
- 积分：1
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AdapGA
AdapGA 用自适应遗传算法求解一维无约束优化问题
(AdapGA with adaptive genetic algorithm for one-dimensional unconstrained optimization problems)
- 2012-12-03 23:11:26下载
- 积分：1
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径向基函数神经网络的优点 RBF_NN_MIC
说明： 径向基函数神经网络的优点：逼近能力，分类能力和学习速度等方面都优于BP神经网络，结构简单、训练简洁、学习收敛速度快、能够逼近任意非线性函数，克服局部极小值问题。原因在于其参数初始化具有一定的方法，并非随机初始化。代码为RBF的matlab程序，可以使用但是需要自己配置数据。(Radial Basis Function Neural Network (RBF-NN) has the advantages of better approximation ability, classification ability and learning speed than BP Neural Network (BP Neural Network). It has simple structure, simple training, fast learning convergence, and can approximate any non-linear function to overcome the local minimum problem. The reason is that its parameter initialization has a certain method, not random initialization.)
- 2020-06-15 22:40:02下载
- 积分：1
