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数字信号处理matlab实验用FFT做谱分析源代码，可放心使用(Experiment with digital signal processing matlab FFT spectrum analysis to do source code can be freely used)

一维边值问题线性有限元数值解法的matlab程序。有详尽的算法分析，程序注释清楚。适用于有限元方法的初学者，能帮助读者加深对基本概念的理解。(one-dimensional linear boundary value problems finite element numerical solution of Matlab procedures. A detailed analysis of algorithms, clear procedures for the Notes. Application of the finite element method in the beginners will help readers to better understand the basic concepts.)

说明：  Crops and non-crops image segmentation using K-MEANS clustering and then classification made by KNN classifier

WAITINPUT Prompt for user input, but no longer than t seconds

说明：  SAR（合成统计雷达）点目标成像matlab代码(SAR (synthetic statistical radar) point target imaging matlab code)

一个相对完整的OFDM通信系统的仿真设计，包括编码，调制，IFFT，上下变频，高斯信道建模，FFT，PAPR抑制，各种同步，解调和解码等模块，并统括系统性能的仿真验证了系统设计的可靠性。(Simulation of OFDM System)

its very important tool box so we need it so much and help us

Exellent Introduction to Statistics Toolbox 对matlab Statistics Toolbox的非常棒的demo (Exellent Introduction to Statistics Toolbox demo/M-Files: closeDTool.m Force close DFITTOOL (without confirmation dialog) createCarDatabase.m Creates dataset array from Excel file and converts appropriate variables to categorical arrays FuelEconomyAnalysis.m Main analysis script for publishing loadData.m Load all data in directory and create a single dataset modelMPG.m Creates model for MPG based on filter parameters myDistFit.m Distribution fit for MPG (auto-generated, not used in demo) myPlot.m Custom plot for plotting model MPG vs. actual MPG simMPG.m Simulate the model with parameters demo/Excel (.xls) Files: 00dat.xls Fuel economy data for the year 2000 01dat.xls Fuel economy data for the year 2001 02dat.xls Fuel economy data for the year 2002 03dat.xls Fuel economy data for)

自编matlab小波分解以及重构的函数，希望大家多多指教，后期完善了自编的卷积积分再上传(matlab for wavelet by self)

对卡尔曼滤波原理进行了仿真！ 可用于雷达脉冲受随机噪声干扰后的原始数据最优估计。(The principle of the Kalman filter simulation! Can be used for radar pulse by the random noise of the original data after the optimal estimation.)