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LABEX2
时域信号分析，用MATLAB实现观察仿真，可以看到时域信号频域信号的区别(Laboratory Exercise 1
DISCRETE-TIME SIGNALS: TIME-DOMAIN REPRESENTATION
)
- 2010-12-30 23:04:36下载
- 积分：1
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Optical_bench_4_m7
ray tracing光线跟踪。
Matlab实现光线跟踪算法，建模光线折射、衰减、像差。(ray tracing, ray tracing. Matlab ray tracing algorithm, the modeling of light refraction, attenuation, aberrations.)
- 2012-06-08 16:36:08下载
- 积分：1
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matlab
HOME APPLICATION USING HAND GESTURE USING MATLAB PLATFORM.
- 2013-03-06 20:56:27下载
- 积分：1
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PSOGSA_v3
This is a Hybrid PSO GSA Aigorithm.A new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). The main idea is to integrate the ability of exploitation in PSO with the ability of exploration in GSA to synthesize both algorithms’ strength. Some benchmark test functions are used to compare the hybrid algorithm with both the standard PSO and GSA algorithms in evolving best solution.
- 2014-02-11 14:45:09下载
- 积分：1
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next
综合自然激励技术和特征系统实现算法，进行了模拟环境激励下结构的时域模态参数识别(In the method, the transition from structural random response to deterministic response was realized by the natural excitation technique(NExT))
- 2020-11-06 22:19:49下载
- 积分：1
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Microphone-sound-source-localization-master
说明： 基于SRP-PHAT的麦克风声源定位，定位精度较高(Microphone sound source localization by SRP-PHAT)
- 2019-11-20 14:43:07下载
- 积分：1
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yanfun
可以用来解决磨床的建模问题，对加工工件应该采取何种加工策略给出了合理的解决办法(Grinder can be used to solve the modeling problem, which should be taken to the workpiece processing strategies, a reasonable solution)
- 2010-10-23 23:32:29下载
- 积分：1
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MC_CDMA-OFDMA
MC-CDMA及OFDMA系统分析 分析了两种方法的特点并进行了比较(MC-CDMA and OFDMA systems analysis of the characteristics of the two methods and compared)
- 2012-06-12 16:25:41下载
- 积分：1
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LTE_inv_RM
conventional inverse rate matching for LTE-A
- 2014-10-20 22:35:51下载
- 积分：1
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KNN
Implement the K nearest neighbor algorithm by your own instead of using available software.
2. Use K-fold cross validation to generate training and testing datasets. You should try different K values (3~8) to see how they affect your result.
3. Train the classifier using your training dataset, and test the classifier using your testing dataset.
4. Repeat the experiment (Step 2 and Step 3) 30 times. For each time, you need to record the training data accuracy and testing data accuracy. Finally, you can obtain the average training data accuracy and average testing data accuracy.
- 2013-05-11 11:46:54下载
- 积分：1
