ip_iq_fourload20110522_diyace

matlab中的FFT使用范例，非常经典(FFT in matlab usage examples, very classic)

遗传算法优化PID，解决传统的PID参数采用试凑的方式的问题，从而进行自整定参数( Genetic Algorithm PID，Solve using traditional PID parameters of trial and error approach problems in order to be self-tuning parameters)

说明：  第二章 MATLAB 图形绘制基础 2.1 二维绘图 2.1.1 基本绘图函数 2.1.2 图形窗口的修饰 2.2 三维绘图 2.2.1 plot3 函数 2.2.2 三维网格图和曲面图(MATLAB chapter 2.1 Rendering the basis of two-dimensional mapping function 2.1.2 graphics 2.1.1 basic graphics window 2.2 modified three-dimensional mapping function 2.2.1 plot3 Figure 2.2.2 Three-dimensional grid and surface map)

Our toolbox currently contains implementations of robust methods for location and scale estimation, covariance estimation (FAST-MCD), regression (FAST- LTS, MCD-regression), principal component analysis (RAPCA, ROBPCA), princi- pal component regression (RPCR), partial least squares (RSIMPLS) and classi¯ cation (RDA). Only a few of these methods will be highlighted in this paper. The toolbox also provides many graphical tools to detect and classify the outliers. The use of these features will be explained and demonstrated through the analysis of some real data sets.

扩散系统之浓度分布的装置。管中储放静止液体B，高度为L=10 ㎝，放置于充满A 气体的 环境中。假设与B 液体接触面之浓度为3 C 0 0.01mol m A = ，且此浓度不随时间改变 而改变，即在操作时间内( h = 10天)维持定值。气体A 在液体B 中之扩散系数为 D m s AB = 2×10− 9 2 。试决定以下两种情况下，气体A溶于液体B中之流通量(flux)。 (a) A 与B 不发生反应； (b) A 与B 发生以下之反应 A+ B→C ， A A − r = kC 其反应速率常数k = 2×10− 7 s− 1。 (Diffusion system of concentration reference device shown in Figure 3. Tube in the store still liquid B, L = 10 cm height, placed in full A gas environment. Assuming the contact surface of the liquid with the B concentration of 3 C 0 0.01mol m A =, and this concentration does not change with time and change, that is, the operating time (h = 10 days) to maintain constant. Gas A in liquid B, the diffusion coefficient D ms AB = 2 × 10-9 2. Decided the following two test cases, the gas dissolved in liquid B in the A liquid (flux). (A) A and B do not react (b) A and B of the following reaction occurs A+ B → C, AA- r = kC, the reaction rate constant k = 2 × 10-7 s-1.)

李春明 2007年文章“Implicit Active Contours Driven By Local Binary Fitting Energy”的程序源码 希望对你有用！(Li Chunming 2007 article Implicit Active Contours Driven By Local Binary Fitting Energy program source hope useful to you!)

完成模糊PID系统，相比传统PID而言，模糊PID系统具有很好的性能(Complete fuzzy PID system, compared with traditional PID, the fuzzy PID system has good performance)

说明：  matlab仿真估计多普勒中心频率，通过图像偏移法，(estimation of doppler center)

说明：  这是一个无人机锂电池电池管理系统的电量估计算法(This is a power estimation algorithm of UAV lithium battery management system)

a easy back propagation example done in matlab,