matlab-tutorial

图像处理MATLAB源代码，这个是读入JPEG文件(JPEG READ)

说明：  簇系数计算函数，复杂网络基本指标。对复杂网络研究者非常有用。(Clustering coefficient calculation functions, complex network of basic indicators. Very useful in complex networks researchers.)

说明：  基于灰度直方图，对图像的纹理特征进行提取，根据灰度共生矩阵得到的四个纹理描述子。(Histogram based on image texture features were extracted, according to the four GLCM texture descriptors obtained.)

自适应滤波器是一种参数可自适应调整的有限冲激响应(FIR)数字滤波器，具有非递归结构形式。介绍了自适应滤波器的基本原理，用LMS自适应算法来仿真，得到LMS算法在自适应滤波中的收敛特性。(Adaptive filter is an adaptive adjustment of parameters can be finite impulse response (FIR) digital filter, with a non-recursive structure. Describes the basic principles of adaptive filter with LMS adaptive algorithm simulation, LMS algorithm in adaptive filtering convergence characteristics.)

计算成组滑动的滑窗检测器的最佳门限已知: 击中数N = 128, 组宽n = 8，PF = 10¡ 6，PD = 90 假设以下条件: (a) 信号不起伏 (b) 忽略天线波束调制 1 (c) 计算PD时忽略目标区以外噪声的影响 组门限(第二门限)为K=8 滑窗的门限(第三门限)为L=16 (滑窗中包含的组数为16) 求解: 最佳的KOPT 和LOPT，对这题做了具体仿真实现。需要的朋友，一定知道很有用。(Optimal threshold calculated as group slidable window detector is known: hit number N = 128, the group width n = 8, PF = 106, PD = 90 assuming the following conditions: (a) signal is not undulation ( b) ignore the antenna beam modulation 1 (c) the calculation of PD ignored outside the target area noise of impact group door limit (the second door limit) for K = 8 sliding window of the door limit (third door limit) for L = 16 (sliding window contains group 16) to solve: the best of the KOPT the LOPT, these questions do specific simulation to achieve. A friend in need, we must know to be useful.)

自己编写的matlab程序 数值分析里的程序(I have written procedures for numerical analysis matlab s procedures)

文章讨论了利用超声以及一种物理模型来研究松质骨的健康状况。(A physical model for broadband ultrasonic studies of cancellous bone)

BP神经网络的通用代码，简单易懂，写法精练(BP neural network, the common code, easy to understand, concise writing)

分布估计算法基础的函数描述，适合初学者,介绍分布估计算法的基础知识，有MATLAB例子帮助读者理解(Estimation of distribution algorithm based function description, suitable for beginners, introduces the basic knowledge of the estimation of distribution algorithm, MATLAB examples to help readers understand)

使用基于机制的PK / PD建模SimBiology(Examples used in the March 2012 webinar: Using SimBiology for Mechanism-Based PK/PD Modeling)