资源列表
Groundwater-Prediction-on-RFN
- 用径向基网络预测地下水位源代码，给出了不同神经元个数下对应的均方差值以及训练、验证和测试曲线的图形-Radial basis function network forecasting of groundwater source, given the number of different neurons corresponding to the mean square difference and training, validation and test curve graphics
tt1
- 强大的matlab绑定约束优化问题,欢迎大家下载-Powerful matlab binding constraint optimization problems, welcome everyone to download
matlabnew
- 这是我刚刚学习matlab时用的一个源代码，大家可以尝试着自己编写-matlab new
zm
- 强大的matlab绑定约束优化问题,欢迎大家下载-Powerful matlab binding constraint optimization problems, welcome everyone to download
Radar-detection-distance-Simulation
- 雷达系统在不同信噪比，不同RCS，不同功率孔径积，不同脉冲宽度下的检测性能-The detection performance of radar system under different signal-to-noise ratio, the RCS, different diameter power product, under different pulse width
facedetector_src
- MFC实现的基于AdaBoost算法的人脸检测源代码，通过摄像头拍摄动态检测人脸-MFC implementation of the AdaBoost algorithm based on the face detection of the source code, through the camera to detect the dynamic detection of human face
method-of-interpolation
- 各种插值算法 1 拉格朗日插值(POLINT) 2 有理函数插值(RATINT) 3 三次样条插值(SPLINE(二阶导数值)） 4 有序表的检索法(LOCATE(二分法), HUNT(关联法)) 5 插值多项式(POLCOE(n2), POLCOF(n3)) 6 二元拉格朗日插值(POLIN2) 7 双三次样条插值(SPLIE2)-Various interpolation algorithm 1 Lagrange Interpolation (POLINT)
HMM
- 隐马尔科夫模型工具箱，readme文档介绍了该工具箱的使用方法-Hidden Markov Model (HMM) Toolbox written by Kevin Murphy (1998). Seehttp://www.ai.mit.edu/~murphyk/Software/hmm.html for details. Models dhmm = HMM with discrete output mhmm = HMM with mixture of G
vehicle_detection
- count the no. of vehicles in video using MatLab
BPN-based-iris-Recongition
- method for automatic blood vessel detection based on mathematical morphology and coye filter. The proposed method performs certain preprocessing steps on the gray-scale of the input image to enhance image quality. The blood vessels are highlighted us
Blood-vessel-extraction
- blood vessel extraction retinal image using coyefilter-blood vessel extraction retinal image using coyefilter
WATERMARKING
- WATERMARKING IN DIGITAL IMAGE USING DCT AND LSB METHODS