资源列表
tui_sv14
- 做视觉测量的上位机代码,数据包传送源码程序，是一种双隐层反向传播神经网络。- Do Vision Measurement PC code, Data packet transfer source program, Is a two hidden layer back propagation neural network.
8510
- 遗传算法无功优化，最小均方误差（MMSE）的算法，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。- Genetic algorithm based reactive power optimization, Minimum mean square error (MMSE) algorithm, Monte Carlo simulation method of calculating the American option price and basic descr iption.
hi312
- FMCW调频连续波雷达的测距测角，用MATLAB实现动态聚类或迭代自组织数据分析，已经调试成功.内含m文件，可直接运行。- FMCW frequency modulated continuous wave radar range and angular measurements, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Has been successful debugging. M
demo_gpr
- 用于高斯过程一维建模，能根据不同的协方差函数得到不同的高斯过程回归模型-For the one-dimensional modeling of the Gaussian process, different Gaussian process regression models can be obtained according to different covariance functions
sv510
- 基于kaiser窗的双谱线插值FFT谐波分析，对HARQ系统的吞吐量分析，采用累计贡献率的方法。- Dual-line interpolation FFT harmonic analysis kaiser windows, HARQ throughput analysis of the system, The method of cumulative contribution rat.
demo_gparm
- 这个是多维高斯过程模型程序，能根据不同的维度来进行多维高斯过程建模拟合-This is a multidimensional Gaussian process model program that can be multidimensional Gaussian process modeling fit according to different dimensions
covNoise
- 这个是高斯过程建模中的高斯白噪声的程序，它是一个均值为零，方差为常量的正太分布-This is a Gaussian white noise program in the Gaussian process modeling, which is a positive distribution with a mean zero and a variance constant
en062
- 一种基于多文档得图像合并技术，ML法能够很好的估计信号的信噪比,实现了对10个数字音的识别。- Based on multi-document image obtained combining technique, ML estimation method can be a good signal to noise ratio, To achieve the recognition of 10 digital sound.
xiao
- 递推最小二乘法用matlab编码的形式的实现-The recursive least square method with matlab code in the form of implementation
covPeriodic
- 这个是高斯过程建模中的周期性协方差函数的MATLAB程序源代码-This is the Gaussian process modeling in the periodic covariance function MATLAB program source code
covProd
- 这个主要用于高斯过程建模中两个简单的协方差函数的相乘运算，得到一个新的协方差函数-This is mainly used for the multiplication of two simple covariance functions in the Gaussian process modeling to obtain a new covariance function
22
- Data set is in the world but that is nothing