matlab

梯度寻优，二阶模型的辨识，结果很准,工业控制热工传递曲线等(Gradient optimization, second-order model identification, the result is quasi-)

image an ECG(.csv) with Zeroline-Filter

计算二维图像的灰度游程矩阵，并计算特征统计量(Calculating the gray range matrix of a two-dimensional image and calculating the characteristic statistics)

用矩量法和正交模法分析四元八木天线的特性。两种方法的对比。用E面、H面和方向性图。(Using moment method and analysis of orthomodular quaternion Yagi antenna characteristics. Comparison of two methods. E surface used, H surface and the direction map.)

Echelon factorization A = c a b.

灰度共生矩阵提取特征值，最近邻算法，进行纹理图像分类。creat_apprentissage用来训练样本，cooccurence是灰度共生矩阵提取特征值，knn是进行k最近邻算法，classif是纹理图像分类(coocurence matrix，using K nearest neighbor to classify textures images.)

供信号处理专业的同学一起分享，欢迎提供好的修改意见(Signal processing for professional students to share, welcomes the amendments to provide good)

Designs a frequency-domain and time-domain FIR equalizer for a single-input single-output (SISO) channel. Frequency-domain equalization uses a Chebychev criteria and is specified in terms of frequency response functions. It is a convex problem (which can be formulated as an SOCP): ( where H is the frequency response function and our variable is the filter impulse response h. Function G is the unequalized frequency response and G_des is the desired freq response. Time-domain equalization immediately designs the impulse response function by specifying the problem in time (it s an LP): minimize max_{t neq D} |g_tilde(t)| s.t. g_tilde(D) = 1 )

This function calculates the curvature of a 2D line. Reference￡oS. Hermann and R. Klette. Multigrid analysis of curvature estimators. Proc. Image Vision Computing New Zealand, 108¨C112, 2003. by Jianfei Pang k = CurvatureEstimation(list,b,f) inputs, list : A M x 2 list of line points. fn: The number of forward points that were chosen to calcute. bn: The number of backward points that were chosen to calcute. outputs, Ei : M x 1 Curvature values thetai:M x 1 angle values Example [Ei,ti]=CurvatureEstimation(test,4,4)

模式识别 关于GMM+EM+BIC，请运行附件的程序。主程序：VASceneAnalysisFH7_ICMEFull_2009.m (Pattern Recognition on the GMM+ EM+ BIC, please run the attached file. Main program: VASceneAnalysisFH7_ICMEFull_2009.m)