Anderson-optimal-filtering

获取一个文件夹的创建时间、文件夹中文件内容及文件创建时间等信息(Get a folder was created, the contents of files in a folder and file creation time, etc.)

Modelsim和Simulink协同仿真，很经典！！！！！(Modelsim Simulink)

描述电偶极子和磁偶极子的势场和场强的工具，希望以此给出抽象的偶极子场以形象的描述。(Dipole description of the electric dipole and magnetic dipole potential field and a field strength of the tool, hoping to give the abstract dipole field to the image description.)

LM算法的MATLAB实现。Levenberg-Marquardt算法是最优化算法中的一种。最优化是寻找使得函数值最小的参数向量。(LM algorithm in MATLAB. Levenberg-Marquardt algorithm is an optimization algorithm. Optimization is to find the minimum value makes the function parameter vector.)

Some simple examples

Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359(9306):572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer.gov/ncifdaproteomics/ppatterns.asp (Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359 (9306) :572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer. gov/ncifdaproteomics/ppatterns.asp)

维特比译码算法的实现，以及卷积码译码的误码率性能分析(Viterbi decoding algorithm, as well as the BER performance of the convolutional code decoding)

Swap mutation exchanges the positions of two randomly chosen genes in a permutation

试验模态参数的频域识别方法__导纳圆法模态参数识别(Experimental modal parameters identification method in frequency domain admittance circle method __ modal parameter identification)

运用最小一次范数法对含粗差的实验数据进行抗差估计(Using a minimum norm method with experimental data for gross errors in Robust Estimation)