Biomedical_Image_Processing

经典图像边缘检测(微分法思想)——Roberts微分交叉算子 优点：模板小，计算量小；(Classic edge detection (differential method thought)- Roberts differential crossover advantages: template small, small amount of calculation )

产生随机序列，进行调制，然后过信道，进行解调，绘星座图，仿真误码率(Generating a random sequence, modulated, and then through the channel, demodulates, painted constellation, simulation BER)

说明：  区间蒙特卡洛潮流算法，当输入变量为确切区间变化时，采用牛拉法计算在该输入变量下的电网区间状态值(The interval Monte Carlo power flow algorithm is used to calculate the state value of the power grid interval under the input variable when the input variable is the exact interval change.)

说明：  基本竞争学习算法的程序，是一种硬判决算法(Basic competitive learning algorithm program, is a hard decision algorithm)

二维正态分布密度函数的数学模型，通过此函数调用实现结果求取(The mathematical model of two dimensional normal distribution density function is obtained by using this function call.)

嵌入同步信号以确定水印的嵌入位置，同时还可以抵抗各种时间轴上的同步攻击(Embedded sync signal to determine the location of the embedded watermark, but also resistant to a variety of simultaneous attacks timeline)

介绍一些matlab在数学方面的应用，非常详细，具有很好的参考价值(Matlab some applications in mathematics, very detailed, with a good reference value)

模式识别作业-完全自编仿真程序。先用PCA对IRIS数据集进行降维，然后用最小错误法对降维的数据进行分类。压缩包中既包括matlab源代码，又有自己写的报告，还有.MAT格式的IRIS数据集用作程序调用。程序有详细注释，很容易懂。最后结果输出到txt文件中。(Pattern recognition operations- completely self simulation program. First on the IRIS data set with PCA dimension reduction, and then with the minimum error method to classify the data dimension reduction. Both compressed package matlab source code, but also write their own reports, as well. MAT format, the program calls for IRIS data set. Procedures detailed notes, it is easy to understand. Finally, the output to a txt file. )

强大的滤波器设计软件，实现低通、高通滤波，非常实用(Powerful filter design software, to achieve low pass, high pass filter, very practical)

包含Understanding and implementing the finite element method这本书，以及具体的matlab程序源码，该书是Mark S. Gockenbach 于2006完成出版的(Contain Understanding and implementing the finite element method this book, as well as specific matlab program source code, the book is Mark S. Gockenbach completed in 2006 and published in the)