spline2D

车牌识别，很有用的啊。包括提取车牌和神经网络训练(License Plate Recognition, ah useful. Including the extraction plate and neural network training)

说明：  1到40的无重复随机抽样的程序，其中抽取数目为参数，可调节(1 to 40 repeated random sampling procedure, which extract the number of parameters can be adjusted)

转速、磁链闭环控制的矢量控制交流调速。控制电路是由滞环脉冲发生器、电流变换与磁链观测的封装模块、比例放大器模块、函数模块、常数模块（用于额定转速和转子磁链信号的给定）、转速调节器ASR、转矩调节器ATR、磁链调节器APR、以及三二变换器模块。(Vector Control AC Speed Regulation with Closed Loop Control of Speed and Flux Link)

计算超声射频数据的实用程序，主要对数据进行滤波操作，进行频谱分析。(Utility calculation ultrasound radiofrequency data, data filtering, spectrum analysis.)

速度分析，用于地震勘探方面尤其有用。可以下载了自己改改，也可以用在其他方面(Velocity analysis for seismic exploration area is particularly useful. Can download their own changed, but also can be used in other areas)

独立成分分析（Independent Component Analysis, ICA）是近年来发展起来的一种有效的盲分离技术，最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题，其过程可以归纳为，在源信号与传输通道参数均未知的情况下，仅根据源信号的统计特性，出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据，即目标函数，并设计相应的优化算法，寻求最优的分离矩阵，使得输出信号中各分量尽可能相互独立。采用ICA方法对信号进行盲分离时，可避免过多地受大能量噪声成分的影响，将部分小能量信号源识别出来。随着ICA技术的不断发展，目前ICA技术已经广泛应用于语音增强、音频识别、通信、医学信号处理、金融数据挖掘、图像消噪、数字水印、遥感等领域，并取得了一定的研究成果。(Independent Component Analysis (ICA) Component ini order, developed in recent years is a kind of effective separation technology, originally from French scholars Herault and Jutten in 1986. The proposed method is initially ICA to solve the "cocktail" problem, the process can be divided into, in the source signal transmission channels and in the case of unknown parameters according to the source of the signals, and the statistical characteristics of recovering the source signal. According to the analysis of the ICA key lies in the establishment of optimal criteria described the output signal of the independent, objective function optimization criterion, and the corresponding optimization algorithm, the optimum )

多縫夫朗禾費衍射模擬,對於仿真干涉模擬有非常大的幫助(Multi-slit Fraunhofer diffraction Wo fees simulation, emulation interference simulation for a very big help)

改变背景值的灰色预测，实际应用时直接修改样本数据即可运行。(Change the grey prediction of background value, directly modify the sample data to run the actual application.)

压缩感知信道估计算法（Matlab 代码）(Compressed sensing channel estimation algorithm (Matlab code))

说明：  完美运行的多目标灰狼算法，运行文件MOGWO即可进行试验。 可以借助学习灰狼算法，多目标优化。(The perfect multi-objective Gray Wolf algorithm can be tested by running the file mogwo. With the help of Grey Wolf algorithm, multi-objective optimization can be achieved.)