high

鉴于求matlab版本的Penman-Montieth方程未果，本人编写了程序，其中a,b取值是黄土高原适合的值，可以自己调整。步骤明了，简单易懂(View of the demand matlab version of the Penman-Montieth equation unsuccessful, I write a program, where a, b value is the value of the Loess Plateau suitable, you can make their own adjustments. Steps to understand, easy to understand)

光电导混频器中，交叉电极的光电导宽度对THz功率的影响(Photoconductive mixer, the width of cross-electrode photoconductive THz power on the impact of)

模糊PID控制程序的源码，有讲解，自己做的 ，效果还行(fuzzy PID control program source code, the operation is a brief)

局部放电试验所采集的信号中往往混有白噪声、周期干扰信号去除。此处采用常用db系列小波中的db6小波进行9尺度的多分辨分解后，根据白噪声能量特性，估算各尺度的阈值大小，采用硬值进行处理，后进行重构。(Partial discharge test of the signal collected is often mixed with white noise, periodic interference signal removal. Here the use of commonly used wavelet db Series DB6 wavelet carried out in the 9-scale multiresolution decomposition, based on the energy characteristics of white noise to estimate the scale threshold size, the use of hard-value deal, after the remodeling.)

彩色图像的多尺度Retinex算法，MSR算法，算法直接可用(Multi-scale Retinex color image algorithms, MSR algorithm, the algorithm can be used directly)

这是盲图像质量因子(BIQI)的MATLAB源代码. 该算法由A. K. Moorthy 、A. C. Bovik等人在 A Modular Framework for Constructing Blind Universal Quality Indices 中提出，发表在IEEE Signal Processing Letters (2009). (This is blind image quality factor (BIQI) MATLAB source code for this algorithm in " A Modular Framework for Constructing Blind Universal Quality Indices" proposed by the AK Moorthy, AC Bovik et al., Published in the IEEE Signal Processing Letters (2009).)

说明：  检验已有的一组数据的概率分布是否为某种分布(Verify whether the data is a certain distribution)

self adapt algorithm using matlab

说明：  多目标遗传算法是NSGA-II[1]（改进的非支配排序算法）,该遗传算法相比于其它的多目标遗传算法有如下优点：传统的非支配排序算法的复杂度为 ，而NSGA-II的复杂度为 ，其中M为目标函数的个数，N为种群中的个体数。引进精英策略，保证某些优良的种群个体在进化过程中不会被丢弃，从而提高了优化结果的精度。采用拥挤度和拥挤度比较算子，不但克服了NSGA中需要人为指定共享参数的缺陷，而且将其作为种群中个体间的比较标准，使得准Pareto域中的个体能均匀地扩展到整个Pareto域，保证了种群的多样性。（消除了共享参数）。(Multi-objective genetic algorithm is nsga-ii [1] (improved non-dominant sorting algorithm), which has the following advantages compared with other multi-objective genetic algorithms: the complexity of the traditional non-dominant sorting algorithm is, while the complexity of nsga-ii is, where M is the number of objective functions and N is the number of individuals in the population.The introduction of elite strategy to ensure that some good individuals in the evolutionary process will not be discarded, thus improving the accuracy of the optimization results.The comparison operator of crowding degree and crowding degree not only overcomes the defect that NSGA needs to specify the Shared parameter artificially, but also takes it as the comparison standard between individuals in the population, so that individuals in the quasi-pareto domain can uniformly expand to the whole Pareto domain, ensuring the diversity of the population.(eliminating Shared parameters).)

说明：  用于谐波恢复的ESPRIT方法的SVD-TLS的程序实现，并进行了信号的谐波的恢复仿真实验(For the ESPRIT harmonic retrieval method of SVD-TLS program and conducted the restoration of harmonic signals in simulation)