资源列表
qi264
- 意信号卷积的运算,并且绘制图象，内含心电信号数据及运用MATLAB写的源代码，在matlab R2009b调试通过。- Convolution operation is intended to signal and image rendering, ECG data and includes source code written in MATLAB, In matlab R2009b debugging through.
qui_th55
- matlab编写的元胞自动机，粒子图像分割及匹配均为自行编制的子例程，研究生时的现代信号处理的作业。- matlab prepared cellular automata, Particle image segmentation and matching subroutines themselves are prepared, Modern signal processing jobs when the graduate.
GraduateTest
- 用于目标的检测与跟踪，对于初学者很有用，能运行- U7528 u4E8 u6E9 u7R09 u0B09 u8B0
papcm
- 比较了软阈值，硬阈值及当今各种阈值计算方法,粒子图像分割及匹配均为自行编制的子例程，本科毕设要求参见标准测试模型。- Comparison of soft threshold and hard threshold and today various threshold calculation method, Particle image segmentation and matching subroutines themselves are prepared, Undergraduate com
lao-V3.5
- 多目标跟踪的粒子滤波器，信号处理中的旋转不变子空间法，利用matlab GUI实现的串口编程例子。- Multi-target tracking particle filter, Signal Processing ESPRIT method, Use serial programming examples matlab GUI implementation.
gai-V3.5
- 用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,利用自然梯度算法，主要为数据分析和统计。- Monte Carlo simulation method of calculating the American option price and basic descr iption, Use of natural gradient algorithm, Mainly for data analysis and statistics.
fingjeng_v45
- 使用大量的有限元法求解偏微分方程，二维声子晶体FDTD方法计算禁带宽度的例子,采用累计贡献率的方法。- Using a large number of finite element method to solve partial differential equations, Dimensional phononic crystals FDTD method calculation examples band gap, The method of cumulative contribution
pingkang_v74
- 在MATLAB中求图像纹理特征，用于信号特征提取、信号消噪，用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述。- In the MATLAB image texture feature, For feature extraction, signal de-noising, Monte Carlo simulation method of calculating the American option price and basic descr iption.
MEANSHIFT
- meanshift 对于目标跟踪的方法迭代 -Meanshift u5BF9 u4E8E u76EE u6807 u8DDF u8E2A u7684 u65B9 u6CD5 u8FED u4EE3
nu378
- 关于神经网络控制，MIT人工智能实验室的目标识别的源码,用MATLAB编写的遗传算法路径规划。- On neural network control, MIT Artificial Intelligence Laboratory identification of the target source, Genetic algorithms using MATLAB path planning.
6583
- 是国外的成品模型，外文资料里面的源代码，算法优化非常好，几乎没有循环。- Foreign model is finished, Foreign materials inside the source code, Algorithm optimization is very good, almost no circulation.
gn110
- 可以实现模式识别领域的数据的分类及回归，Pisarenko谐波分解算法,比较了软阈值，硬阈值及当今各种阈值计算方法。- You can achieve data classification and regression pattern recognition, Pisarenko harmonic decomposition algorithm, Comparison of soft threshold and hard threshold and today various threshol