FFRLS

Algorithm Collections for Digital Signal Processing Applications using Matlab

Cosinor analysis uses the least squares method to fit a sine wave to a time series. Cosinor analysis is often used in the analysis of biologic time series that demonstrate predictible rhythms. This method can be used with an unequally spaced time series. Follows cosinor analysis of a time series as outlined by Nelson et al. Methods for Cosinor-Rhythmometry Chronobiologica. 1979. Please consult reference.

利用moravec兴趣算子提取图像的点特征，matlab编写(Moravec interest operator to use the image point feature extraction, matlab prepared)

Matlab最优化计算中的无约束一维极值问题(Matlab optimization calculations for unconstrained one-dimensional extremum problems)

除了蚁群算法，可用于PID参数优化的智能算法还有很多，比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法，等等。(In addition to the ant colony algorithm, can be used in the intelligent algorithm of PID parameter optimization and there are many, such as genetic algorithm, simulated annealing algorithm, particle swarm optimization (pso), artificial fish algorithm, and so on.)

设计一个可以输入若干评委分数的表单，可以通过两个for循环分别找出分数的最大值和最小值，存入到两个变量，把评委的分数存入到一个数组中，计算时去掉找出的最大值和最小值即可得出最后得分。 (You can enter a number of judges to design a fractional form, you can find the maximum and minimum scores for each through two loops, credited to two variables, the judges scores deposited into an array, remove the calculation to find out the maximum and minimum values ​ ​ to arrive at a final score.)

transfer function model

说明：  遗传算法（Genetic Algorithm，GA）最早是由美国的 John holland于20世纪70年代提出,该算法是根据大自然中生物体进化规律而设计提出的。是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法。该算法通过数学的方式,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。(Genetic algorithm (GA) was first proposed by John Holland of the United States in the 1970s. It is designed and proposed according to the evolution law of organisms in nature. It is a computational model of biological evolution process simulating natural selection and genetic mechanism of Darwin's biological evolution theory. It is a method to search the optimal solution by simulating natural evolution process. The algorithm transforms the solving process of the problem into a process similar to the crossover and mutation of chromosome genes in biological evolution by means of mathematical method and computer simulation. When solving complex combinatorial optimization problems, compared with some conventional optimization algorithms, it usually can get better optimization results quickly. Genetic algorithm has been widely used in combinatorial optimization, machine learning, signal processing, adaptive control and artificial life.)

说明：  细菌觅食算法的相关论文和资料，都是PDF文件，适合初学该算法人员学习(Bacterial foraging algorithm related papers and information are PDF files, suitable for beginners to learn the algorithm)

Chen氏混沌延迟系统的Matlab实现(Chen's chaotic system delayed the Matlab)