Integrated-airspace-enhanced-image

fft 快速傅立叶变换，可以进行有效的变换，用于频谱和功率普的分析。(fft)

Algoritmo en matlab para leer 3 imagnees d un solo canal ,para formal una imagen a color RGB.

本程序和文件主要用蒙特卡洛的思想来仿真骰子投掷事件发生的概率。用增加投掷次数的方法来逼近实际。(This procedure, and the paper s main ideas to use the Monte Carlo simulation of the probability of dice throwing incident. With the increase in the number of ways to throw close to the actual.)

说明：  永磁同步电机性能模拟计算程序。通过输入已知的电机参数，得到气隙处的磁场强度并以此计算输出参数。(Permanent magnet synchronous motor performance simulation procedures. By entering the known motor parameters, the air-gap magnetic field strength Department and calculate the output parameters.)

说明：  小波与近似熵相结合的机械振动噪声信号分析 8.复morlet小波实验程序.(8 Complex Wavelet morlet experimental procedures.)

粒子群优化算法的寻优算法—非线性函数的极值优化(The optimum algorithm of particle swarm optimization algorithm, the extremal optimization of nonlinear functions)

基于matlab的画出一个不完整的椭圆，结果完美。只要稍作修改可以出来任意要求范围的不完整椭圆。(Matlab to draw the ellipse )

传算法（Genetic Algorithm）是一类借鉴生物界的进化规律（适者生存，优胜劣汰遗传机制）演化而来的随机化搜索方法。它是由美国的J.Holland教授1975年首先提出，其主要特点是直接对结构对象进行操作，不存在求导和函数连续性的限定；具有内在的隐并行性和更好的全局寻优能力；采用概率化的寻优方法，能自动获取和指导优化的搜索空间，自适应地调整搜索方向，不需要确定的规则。遗传算法的这些性质，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。它是现代有关智能计算中的关键技术(Propagation algorithm (Genetic Algorithm) is a law of evolution in biology class reference (survival of the fittest, survival of the fittest genetic mechanisms) randomized search method evolved. It was first proposed by the United States J.Holland professor in 1975, and its main feature is to operate directly on the structure of the object, the continuity of the derivative and the function limitation does not exist with global implicit parallelism inherent and better optimization capability the use of probabilistic optimization method that can automatically obtain and guidance to optimize the search space adaptively adjust the search direction, the rule does not require determined. The nature of the genetic algorithm, has been widely used in combinatorial optimization, machine learning, signal processing fields, such as adaptive control and artificial life. It is about smart modern computing key technologies)

Probablistic neural network for classification

A simple thermometer and thermostat using less expensive component in assembly language.