SpokenArabicDigit

这是一个造价预测的MATLAB程序，大家可以看看，还有待改进(This is a MATLAB program cost projections, we will look at have yet to be improved)

boost PFC in critical conduction mode Psim simulation

特征提取例3.3 以年龄为论域，取 。Zadeh给出了“年轻”的模糊集Y，其隶属函数为 (Example 3.3 Feature Extraction of age on the field, take. Zadeh gives the " young" fuzzy sets Y, its membership function)

神经网络的实例 ，用于图象的处理和模式识别(examples of neural networks for image processing and pattern recognition)

为了有效提取面邵表情特征，提出了一种新的基于LBP(局邵二值模式)特征的人脸表情识别特征提取方法首先用均值方差法对表情图像进行灰度规一化，通过对图像进行积分投影，定位出眉毛、眼睛、鼻和嘴巴这些关键特征点，进而划分出各特征邵件所在子区域，然后对子区域进行分块，提取各个子区域的分块LBP直方图特征(Abstract: In order to effectively extract facial expression feature,a novel facial feature extraction approach for facial expression recognition based on Local Binary Pattern(LBP) is proposed in the paper )

有关于梳状滤波器的设计源码，大家可以参考，不错的(Comb filter on the design of source code, we can refer to, well)

是mimo仿真程序里面的一段小程序，非常适用于各种mimo程序里面用，很好用(Mimo simulation program is inside a small program that is ideal for use inside various mimo procedures, useful)

多态概率元胞自动机森林火灾模型及应用,是用MATLAB的元胞自动机实现在森林中的应用(Polymorphic forest fire probability cellular automata model and application of MATLAB is the application of cellular automata to achieve in the forest)

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

说明：  在matlab上实现的贝叶斯分类器，有缘吗(To achieve the matlab Bayesian classifier)