ICI_amplitude

皮萨论科（Pisarenko）谐波分解法,求得含噪声信号中的谐波频率(Pisanoko (Pisarenko) harmonic decomposition method, obtained with the noise signal in the harmonic frequency)

说明：  DBSCAN聚类算法，初步实现，功能比较简单，数据集比较简单(DBSCAN clustering algorithm, preliminary implementation, relatively simple function, relatively simple data set)

关于BCH码的解码matlab程序。可以作为函数引用。(BCH code decoding matlab program. As a function reference.)

说明：  一维有限元matlab示例，适合有限元学习入门(One dimensional finite element matlab example, suitable for the introduction of finite element learning)

说明：  LDPC的BF算法,用matlab语言编写 的程序。

有关matlab摄像机标定的工具箱，可直接标记摄像机的外参和内参(Camera calibration toolbox for matlab, directly outside the parameters of the camera and mark internal reference)

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)

文件中单词信息查询功能，包括输入文件，查找，修改，删除，查看

matalab电机仿真，对直流，交流，步进电机进行仿真(matalab motor simulation)

非常简单的卡尔曼滤波程序，便于大家学习卡尔曼滤波。(Very simple Kalman filtering program, easy to learn the Kalman filter.)