main

Calculation of gradient and objective for Least Squares (binary classification)

ERCEG_SUI Model, huaukahkahuoioa.

说明：  经典常规波束形成 包含几种方法的对比(Classic conventional beamforming with comparison of several methods)

labview与matlab实现的混合编程实例。mathscirpt编写的程序(LabVIEW and Matlab the mixed programming examples achieve. the written in mathscirpt program)

说明：  deep learning describes the process of deep learning by steps using Alex net dataset

说明：  此算法是用遗传算法解决一元函数的最值问题(This algorithm is a function of genetic algorithm to solve the most value of a dollar problem)

采用时频聚集性较好的线性调频信号作为线性时不变系统输入激励，采用Gabor字典作为过完备原子库。在利用传统系统辨识法之前先利用稀疏分解算法将输出信号进行去噪处理，显著提高系统辨识精度。 具体包括互谱算法，信号的Gabor稀疏分解的详细代码(Space can be a time for sparse decomposition to solve the problem of huge memory needed。This approach, combined with the rapid decomposition of FFT for signal ,so as to achieve satisfactory results.)

说明：  HHT算法实现emd分解，及希尔伯特黄变换，实现瞬时频率瞬时幅值，边际谱的提取(Perform modal recognition, Hilbert Huang transform and its associated algorithmic program code for signal analysis and processing)

说明：  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(Using computer simulation operations, the problem-solving process is transformed into a process similar to the crossover and mutation of chromosomal genes in biological evolution. When solving more complex combinatorial optimization problems, compared with some conventional optimization algorithms, better optimization results can usually be obtained faster. Genetic algorithm has been widely used in the fields of combinatorial optimization, machine learning, signal processing, adaptive control and artificial life)

二级倒立摆系统采用极点配置的方法控制，系统达到平衡。(Double inverted pendulum control using pole placement method, the system in balance.)