interpolationcodes

先进PID控制及MATLAB仿真程序，第一章的经过运行，全都成功(Advanced PID control and MATLAB simulation program, run through the first chapter, all successful)

直方图均衡：原始图的直方图变换为均匀分布的形式，这样就增加了象素灰度值的动态范围从而达到增强对比度的效果 中值滤波：中值滤波属于非线性平滑滤波器，它可以消除噪声又能保护图象的细节(histogram equalization : the original plan to transform the histogram in the form of uniform distribution. This will increase the value of the pixel gray areas so as to achieve dynamic contrast enhanced effect of filtering : Median filter is nonlinear smoothing filter, it can eliminate noise while preserving image details)

过程控制工程，非线性环节处理Matlab-Simulink仿真代码，内含多种情况讨论！(Process control engineering, nonlinear aspects of treatment of Matlab-Simulink simulation code contains a variety of discussion!)

同步复制，模仿系统的同步复制，与异步复制进行对比比较速度差距(this is a copy code)

audio water marking embeding and decoding

层次分析法的具体MATLAB程序，这对于数据挖掘工作非常重要。(AHP specific MATLAB program, which is very important in data mining.)

用区域增长算法来进行图像分割，图像二值化，是很好的分割算法(With the region growing algorithm for image segmentation, image binarization, is a very good segmentation)

s-method是一种时频分析方式，在雷达成像算法中是比较先进的方式，可以比较好的解决时频聚集性和交叉项抑制的问题(s-method is a time-frequency analysis, and radar imaging algorithm is a more advanced way of frequency aggregation and cross-inhibition can be a better solution)

离散余弦变换dct算法详细讲解，并在matlab上进行图像稀疏分解与重建的图像处理仿真。(Discrete cosine transform DCT algorithm is explained in detail, and the simulation of image sparse decomposition and reconstruction of image processing in matlab.)

说明：  利用计算机仿真运算,将问题的求解过程转换成类似生物进化中的染色体基因的交叉、变异等过程。在求解较为复杂的组合优化问题时,相对一些常规的优化算法,通常能够较快地获得较好的优化结果。遗传算法已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域(Using computer simulation operations, the problem-solving process is transformed into a process similar to the crossover and mutation of chromosomal genes in biological evolution. When solving more complex combinatorial optimization problems, compared with some conventional optimization algorithms, better optimization results can usually be obtained faster. Genetic algorithm has been widely used in the fields of combinatorial optimization, machine learning, signal processing, adaptive control and artificial life)