melcepst

计算函数的极值的另外一种方法 只是其中一种 以后会陆续上新的(Calculation of the extremal function of another kind of method is just one of the future will continue on a new)

Kalman Filtering Matlab example

matlab code for numerical derivatives and integrals

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.)

shortest path algorithms

说明：  模拟退火算法及禁忌搜索算法的matlab源程序(Matlab source program of simulated annealing algorithm and tabu search algorithm)

This is model for Permanent magnet synchronous motor by using SVPWM This is done using vector control technique PMSM is made sensorless with the help of sliding modle observer

交错网格声波方程正演模拟，PML吸收边界，比较适合刚刚接触的学者。交错网格有限差分地震波场计算，二维的声波正演，利用空间10阶，时间2阶。(The CalCulation of the SeismiC Wave一 fieldwith Staggered-grid Finite difference Sheme)

多载波天线下的自适应调制，很好的体现了系统的性能，可以做为源文件(Under the adaptive antenna multi-carrier modulation, well reflects the performance of the system can serve as a source file)

本书是“MATLAB应用技术”系列丛书之一，以最新推出的MATLAB中的小波分析工具箱Wavelet Toolbox 3.0版本为基础。全书共分为三部分，第1部分着重介绍了小波理论基础，包括小波基础知识、连续小波变换、离散小波变换、多分辨率分析与正交小波变换、小波变换和多采样滤波器组、二维小波变换与图像处理及小波包的基本原理等；第2部分重点说明了小波分析工具箱的详细使用方法，包括图形用户接口、小波通用函数、一维小波变换的MATLAB实现、二维小波变换的MATLAB实现、小波包变换的MATLAB实现、信号和图像的降噪和压缩，以及最新的信号和图像的提升小波变换等内容；第3部分主要介绍了小波工具箱的应用基础，以及小波变换在语音和生物医学信号处理中、故障诊断中、数字水印中的应用方法。(This book is "MATLAB application technology" Series on one of the latest MATLAB Wavelet toolbox in the Wavelet Toolbox 3.0 version of the basis. The book is divided into three parts, Part 1 focuses on the theory of wavelet basis, including basic knowledge of wavelets, continuous wavelet transform, discrete wavelet transform, multiresolution analysis and orthogonal wavelet transform, wavelet transform and multirate filter banks, 2-dimensional wavelet transform and image processing and the basic principles of wavelet packets, etc. Part 2 highlights the detailed use of wavelet analysis toolbox methods, including graphical user interface, wavelet generic function, one-dimensional wavelet transform MATLAB realization of two-dimensional wavelet transform of the MATLAB implementation of the MATLAB implementation of wavelet packet transform, signal and image noise reduction and compression, and the latest signal and image enhancement of wavelet transform content Part 3 introduces the wavele)