gaborfilter_function

功能[DATAOUT]= PGA（DATAIN），执行相位梯度 ％ISAR自动对焦。 ％ ％DATAIN ISAR范围内的实时数据。 DATAOUT％范围内的实时数据已被删除平移 ％相位误差。 ％ ％参考： ％D.E.瓦尔，P.H.艾歇尔，特区吉利亚，C.V. Jakowatz，“相 ％梯度自聚焦一个强大的工具，用于高分辨率SAR相 ％修正“，硕士论文。航空。＆电子系统，第30卷，3，1994。(function [dataout]=PGA(datain) performs phase gradient autofocus of ISAR. datain is range-time data of ISAR. dataout is range-time data that have been removed translational phase error. Reference: D.E. Wahl, P.H. Eichel, D.C. Ghiglia, C.V. Jakowatz, "Phase gradient autofocus-a robust tool for high resolution SAR phase correction," IEEE Trans. Aero. & Elec. Sys., vol. 30, no. 3, 1994.)

采用有限差分方法模拟计算高斯光束在自由空间传播过程。(Simulation using the finite difference method of Gaussian beams in free space propagation.)

改程序为广义偏差原理。广义偏差原理用以求解正则化参数。为正则化参数的选择提供了依据。ISCREP Discrepancy principle criterion for choosing the reg. parameter.(Deviation principle for the broad reform program. Deviation principle for solving the generalized regularization parameter. For the choice of the regularization parameter was provided. ISCREP Discrepancy principle criterion for choosing the reg. Parameter.)

power_Transfo3phCoreType_BH.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_Transfo3phCoreType_BH.rar, Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

matlab卷积码编译码译码器设计仿真，做毕业论文很有参考价值(matlab convolutional code decoder codec design simulation, doing thesis of great reference value)

Support vector machine is a machine learning method that is widely used for data analyzing and pattern recognizing. The algorithm was invented by Vladimir Vapnik and the current standard incarnation was proposed by Corinna Cortes and Vladimir Vapnik. This application note is to helping understand the concept of support vector machine and how to build a simple support vector machine using Matlab

说明：  matlab振动试验数据分析，信号获取：测量获取设备的信号（振动、转速、过程参等）。信号分析：从信号中提取反映设备运行状态和故障的特征值。故障诊断：根据信号特征信息，对故障进行诊断（专家诊断、智能自动诊断）和预测(Matlab vibration test data analysis, signal acquisition: Measurement and acquisition of equipment signals (vibration, speed, process parameters, etc.). Signal analysis: extract the characteristic value of equipment running state and fault from the signal. Fault diagnosis: fault diagnosis (expert diagnosis, intelligent automatic diagnosis) and prediction according to signal characteristic information)

EEG-Based Lapse Detection With High Temporal resolution

基于分数阶的傅里叶变换，很详细、具体，欢迎各位还下载(Based on fractional order of Fourier transformation)

This program helps you how to resize an Image.