matlab

convelution by matlab

UKF 在Matlab 下的实现 含有matlab的程序代码(UKF realization in Matlab)

翻译了3GPP 25213-700扩频部分的协议内容,此标准翻译的还算标准,可以直接使用(translated 3GPP 25213-700 spreading part of the agreement, Such standards are fairly standard translation can be used directly)

matlab应用源程序，只能采集，网络连接(matlab application source code, can collect)

说明：  遗传算法MATLAB实现 遗传算法MATLAB实现(MATLAB genetic algorithm to achieve the realization of genetic algorithm MATLAB)

距离函数用matlab实现的距离函数用matlab实现的(Distance function using matlab matlab realize the distance function)

This is about QPSK modulation in simulink.

灰色系统的matlab程序原代码，可用以对数据建立方程，进行预测(Gray system matlab program source code, the data used to establish equations to predict)

微电网仿真模型，可以完美运行，包含多个分布式电源(Microgrid simulation model)

说明：  遗传算法是计算数学中用于解决最佳化的搜索算法，是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题，一定数量的候选解（称为个体）的抽象表示（称为染色体）的种群向更好的解进化。传统上，解用二进制表示（即0和1的串），但也可以用其他表示方法。进化从完全随机个体的种群开始，之后一代一代发生。在每一代中，整个种群的适应度被评价，从当前种群中随机地选择多个个体（基于它们的适应度），通过自然选择和突变产生新的生命种群，该种群在算法的下一次迭代中成为当前种群。(Genetic algorithm (GA) is a search algorithm used to solve optimization in computational mathematics. It is one of evolutionary algorithms. Evolutionary algorithms were originally developed by borrowing phenomena in evolutionary biology, such as heredity, mutation, natural selection and hybridization. Genetic algorithms are usually implemented as a computer simulation. For an optimization problem, an abstract representation of a certain number of candidate solutions (called individuals) (called chromosomes) evolves towards a better solution. Traditionally, solutions are represented in binary (that is, strings of zeros and ones), but other representations are possible. Evolution begins with a population of completely random individuals, and it happens from generation to generation.)