velocity_influence_on_mf_of_LFM

BP神经网络PID S函数,可用于Simulink仿真。(BP NN PID S-fuction)

netlib 数值计算matlab程序集()

genetic programming and orthogonal least square

说明：  不适用matlab进行的bp算法开发,设计简单，功能健全(bp not using matlab)

独立成分分析（Independent Component Analysis, ICA）是近年来发展起来的一种有效的盲分离技术，最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题，其过程可以归纳为，在源信号与传输通道参数均未知的情况下，仅根据源信号的统计特性，出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据，即目标函数，并设计相应的优化算法，寻求最优的分离矩阵，使得输出信号中各分量尽可能相互独立。采用ICA方法对信号进行盲分离时，可避免过多地受大能量噪声成分的影响，将部分小能量信号源识别出来。随着ICA技术的不断发展，目前ICA技术已经广泛应用于语音增强、音频识别、通信、医学信号处理、金融数据挖掘、图像消噪、数字水印、遥感等领域，并取得了一定的研究成果。(Independent Component Analysis (ICA) Component ini order, developed in recent years is a kind of effective separation technology, originally from French scholars Herault and Jutten in 1986. The proposed method is initially ICA to solve the "cocktail" problem, the process can be divided into, in the source signal transmission channels and in the case of unknown parameters according to the source of the signals, and the statistical characteristics of recovering the source signal. According to the analysis of the ICA key lies in the establishment of optimal criteria described the output signal of the independent, objective function optimization criterion, and the corresponding optimization algorithm, the optimum )

mean and variance calculation of OFDM signal

用prim算法，构造最小生成树，用在数学建模的图论模型中(to use prim to produce the tree)

对在MATLAB编程环境下的模糊推理过程进行确定性分析，分析了模糊推理的过程和参数选择方法，并进行了方针证明。(MATLAB programming environment in the fuzzy reasoning process of uncertainty analysis, analysis of the fuzzy reasoning process and parameter selection method, and carried out policies to prove.)

这是一位博士写的一种新的正弦信号频率估计方法，很有参考意义。(This is a Ph.D. to write a new method of sinusoidal frequency estimation, lot of reference value.)

first code written in c++ for generating 3D tetrahedral elements inside unite cube with sphere inside it.