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8NODES
MATLAB编写的有限元程序，用于计算8节点的等参单元，请大家分享(Prepared MATLAB finite element program, used to calculate the 8-node isoparametric element, please share)
- 2008-12-13 19:19:06下载
- 积分：1
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matlab
精通MATLAB最优化计算的书籍，精通matlab必读之书(The most proficient in MATLAB Optimization)
- 2010-12-01 10:48:46下载
- 积分：1
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siftDemoV4ofMatlab
matlab版SIFT算法演示程序，简洁易懂易用，实际算法部分用C来实现(SIFT algorithm demo program of matlab version)
- 2012-06-10 22:19:03下载
- 积分：1
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colorbar
仿matlab colorbar 用于显示数值计算后的结果分布(Imitation matlab colorbar used to display numerical calculation of the distribution of results)
- 2013-04-24 20:52:24下载
- 积分：1
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bpsk_ofdm_RS_EN
Modulation test for OFDM : This is a set of five (5) codes about COFDM (Coded Orthogonal Frequency Division Multiplexing) and coding schemes such as Convolutional, BCH, Reed Solomon (RS) and Low Density Parity Check (LDPC).
The study uses an OFDM signal over an AWGN Channel with white Gaussian noise model, and calculate the Bit Error Rate wich is plotted.
- 2013-05-06 20:52:06下载
- 积分：1
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example1
免疫退火算法在参数优化中的应用，产生最优的优化结果(Immune annealing algorithm in parameter optimization, optimized to produce the best results)
- 2015-01-04 15:53:37下载
- 积分：1
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bilateral
canny算子边缘检测源码，用matlab实现，如果需要，请及时下载(canny edge detection source, using matlab to achieve, if you need, please download)
- 2014-01-13 11:25:16下载
- 积分：1
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gatbx遗传算法工具箱自动进行PID参数整定-GAtbxPID
使用MATLAB gatbx遗传算法工具箱自动进行PID参数整定，可动态显示迭代优化过程，对遗传算法和工业自动化PID参数整定方法的学习都有很大的帮助！(Automatically PID parameter tuning based on MATLAB gatbx genetic algorithm toolbox ，and can be dynamically displayed the calculate process.It s very helpful for the genetic algorithm and PID learning!)
- 2021-04-28 17:28:43下载
- 积分：1
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recognition
说明： 手写英文字母识别:主要是基于mtlab的程序。对手写的大写字母进行识别(alphabet recognition)
- 2010-04-24 14:51:55下载
- 积分：1
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RLS
仿真对象如下：
其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。
选择如下辨识模型：
加权阵取Λ = I。
衰减因子β = 0.98，数据长度 L = 402。
辨识结果与理论值比较，基本相同。辨识结果可信
(he simulation object is as follows: among them, v (k) to obey N (0, 1) distribution of white noise. The input signal u (k) using M sequence, amplitude is 1. M sequence by 9 level shift register generation, x (I) = x (I- 4) ⊕ x (I- 9). Choose the identification model: weighted array take Λ = I. Attenuation factor β = 0.98, the data length L = 402. Identify the theoretical calculation and comparison, basically the same. Identification results are reliable)
- 2012-12-28 15:49:33下载
- 积分：1
