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Parzen
- Parzen窗函数概率密度估计演示程序 完全按照《现代模式识别》孙即祥著作 2.4.4《动态聚类法》算法3实现 使用欧式距离作为测度标准。
parzendm
- 模式识别中的parzen窗估计概率密度的一个自编的函数
parzen.rar
- 用parzen窗方法，估计概率密度，采用高期核函数。。。。,With parzen window means of estimating the probability density function using high nucleus. . . .
Parzen_Window
- 模式识别中Parzen窗函数的实现，模拟对二维高斯分布的非参估计。窗函数有三种：高斯窗、指数窗、方窗-Pattern Recognition Parzen window function of the realization, simulation of two-dimensional Gaussian distribution is estimated non-participation. There are three window function: Gaussian window, th
parzen
- 这是一个有关parzen窗估计的代码，用来估计概率密度函数，在模式识别中有很多重要的地位-This is a window of the estimated parzen code, used to estimate the probability density function, in the pattern recognition there are many important position ~ ~
bayes-classsifier
- 该程序源码中包括了各种典型分布的二维数据的自动生成，二维概率密度函数的极大似然估计和窗函数估计，bayes分类器的设计和分类器错误率的多种方法估计-The program includes a variety of typical source distribution of the automatic generation of two-dimensional data, two-dimensional probability density function of the maximum l
parzenmoshishibie
- 用parzen来计算所选的数据的概率密度函数，所选的窗函数是方窗，最后基于最小错误率的贝叶斯进行分类-With parzen selected data to calculate the probability density function, the selected window function is the side window, and finally the smallest error rate based on Bayesian classification
parzen
- Parzen窗估计法是一种具有坚实理论基础和优秀性能的非参数函数估计方法，它能够较好地描述多维数据的分布状态。-Parzen window estimation method is a non-parametric function estimation method has a solid theoretical basis and excellent performance, it can be used to describe the distribution of state of th
Desktop
- 主要为自定义的一种窗函数，在EMD端点效应中经常用的一种余弦窗函数法-Cosine window functions mainly as a custom window function in the end effect of EMD is often used
qd417
- 双向PCS控制仿真，ML法能够很好的估计信号的信噪比,窗函数法设计一个数字带通FIR滤波器。- Two-way PCS control simulation, ML estimation method can be a good signal to noise ratio, A window function design FIR digital band-pass filter.
2846
- 窗函数法设计一个数字带通FIR滤波器，给出接收信号眼图及系统仿真误码率，包含优化类的几个简单示例程序。- A window function design FIR digital band-pass filter, The received signal is given eye and BER simulation systems, Optimization class contains several simple sample programs.