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对X光图像进行综合增强，用到了各种方法，并集中起来，希望对大家有帮助，仅供大家参考，希望有用(Expansion of the edge of the image matrix so that matrix, the edge of large circle, easy to use template processing, in the hope we have help, only for your reference and hope be useful)

说明：  循环包络算法，用于计算信号的包络的一种方法(cyclic envelope)

MATLAB—directions 一本学习matlab的不错的书籍(MATLAB—directions)

回归分析 很详细有各种例子及matlab代码和运行结果图 (Regression analysis in great detail a variety of examples and matlab code and operating results Figure)

说明：  Matlab programs for gaussian mixture models

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.)

说明：  基于SVPWM空间矢量的matlab 仿真模型，适用异步电机，完美运行 基于SVPWM空间矢量的matlab 仿真模型，适用异步电机，完美运行(The matlab simulation model based on SVPWM space vector is suitable for asynchronous motor and works perfectly.)

详细的介绍MATLAB 7 的功能，运用源代码和实例进行解释，方便的边学便实践。(described in detail the function of MATLAB 7, the use of the source code and examples to explain, facilitate the learning they practice.)

绘制科赫曲线，通过修改内部参数绘制不同迭代次数的曲线(Drawing Koch curve, by modifying the internal parameters of the curve plotted different iterations)

设计一维纳滤波器 (1)产生三组观测数据：首先根据s(n)=a s(n-1)+w(n)产生信号s(n)，将其加噪（信噪比分别为20dB,10 dB，6 dB），得到观测数据x1(n), x2(n), x31(n). (2)估计xi(n)，i=1,2,3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L,N对实验结果的影响。 (A Wiener filter design (1) to produce three sets of observations: first generating a signal s (n) according to s (n) = as (n-1)+w (n), to add noise (20dB SNR, respectively , 10 dB, 6 dB), to obtain observational data x1 (n), x2 (n), x31 (n). (2) estimate xi (n), i = AR model parameters 1,2,3. Assuming the signal length L, AR model of order N, analysis of experimental results and discuss the impact changing L, N of the experimental results.)