DiscreteFourierTransfrom

these codes used for computational Statistics. these codes are intresting because you can apply matlab in other area except enginnering.

matlab算法第11章内容其他部分陆续上传中请稍后(matlab algorithm for the content of other parts of Chapter 11 in succession, please upload later)

线性调频信号脉冲压缩 用matlab生成coe文件以导入xilinx fpga (Chirp signal pulse compression using matlab generated COE file to import xilinx fpga)

五相无刷直流电机（BLDC）动态特性仿真程序-电机工作模式为三相导通五相星形十状态(Simulation of dynamic characteristics of Brushless DC motor)

说明：  此代码包含运动目标检测和卡尔曼滤波，其中有测试序列(This code contains the moving target detection and filtering, which test sequences)

说明：  粮食产量预测的matlab实现，基于给定的几年的粮食产量，预测出后一年的产量，属于原创，有论文，有代码(Grain output forecast matlab implementation, based on given years of food production, predicted after the year of production, are original, papers, a code)

L-BFGS-B is a variant of the well-known "BFGS" quasi-Newton method. This variant uses limited-memory (like L-BFGS), and also handles simple constraints (to be specific, bound constraints, so this includes x >=0 constraints).

MATLAB GUI设计学习手记（第二版）源程序第10章/科学计算器编译文件(MATLAB GUI design learning Notes (second edition) source Chapter 10/scientific calculator compiled file)

Dufing方程是一种重要的动力系统山，是反映工程物理系统中非线性现象和混沌动力学行为的极其重要的方程式。通过Duffing方程可以探讨铁磁谐振电路中的分岔、拟周期运动、子谐波振荡。而在非线性与混沌系统的研究中，Duffing方程展示了丰富的混沌动力学行为。本文通过对不同情况下的Duffing方程进行分析，利用MATLAB进行仿真，从而对Duffing方程有进一步的了解。(Dufing equation is an important dynamic system mountain, which reflects the nonlinear phenomena and chaotic dynamics in Engineering Physics system. The bifurcation, quasi periodic motion and sub harmonic oscillation in ferromagnetic resonance circuit can be discussed through the Duffing equation. In the study of nonlinear and chaotic systems, the Duffing equation shows abundant chaotic dynamical behavior. In this paper, the Duffing equation under different conditions is analyzed and simulated with MATLAB, so as to have a further understanding of the Duffing equation.)

Matlab基本图形制作的命令、源码讲解文件(About how to draw 2D plots,3D plots by using Matlab)