lmsjxx

说明：  几个凸优化函数，用于解决非约束和带约束条件的凸优化问题(Several convex optimization function, for solving non-binding and the constrained convex optimization problem)

数值分析龙贝格算法，语言环境MATLAB(Romberg numerical analysis algorithm, MATLAB language environment)

matlab code for image to pixels conversion and vice verse

des code de matlab de la transforméé des images en ondelettes

独家奉献！FSO通信性能分析中，Gamama-Gamma 分布的随机数的产生方法，并通过理论PDF和CDF得到了验证；同时还包含point error 的随机数(Exclusive dedication! In FSO communication performance analysis, the method of generating random numbers of Gamama-Gamma distribution is proved by theory, PDF and CDF)

说明：  MATLAB 代码 第1章 BP神经网络的数据分类——语音特征信号分类 第2章 BP神经网络的非线性系统建模——非线性函数拟合 第3章 遗传算法优化BP神经网络——非线性函数拟合 第4章 神经网络遗传算法函数极值寻优——非线性函数极值寻优 第5章 基于BP_Adaboost的强分类器设计——公司财务预警建模 第6章 PID神经元网络解耦控制算法——多变量系统控制 第7章 RBF网络的回归--非线性函数回归的实现 ....等58章(MATLAB code The first chapter is BP neural network data classification -- speech characteristic signal classification The second chapter is the nonlinear system modeling of BP neural network nonlinear function fitting The third chapter, genetic algorithm optimization BP neural network - nonlinear function fitting The fourth chapter, neural network, genetic algorithm, function extreme value optimization nonlinear function extremum seeking The fifth chapter is based on BP_Adaboost's strong classifier design -- the company financial early-warning model The sixth chapter is PID neural network decoupling control algorithm multivariable system control The seventh chapter is the regression of RBF network the realization of nonlinear function regression .........the last is 58 chapters)

该程序源代码实现了CDMA通信系统性能的仿真，用MATLAB实现了直序、跳时、跳频以及M序列，GOLD序列等的产生，及在AWGN和RAYLEIGH环境下误码率的计算(The program source code to achieve the performance of CDMA communication system simulation, using MATLAB realize the direct sequence, time hopping, frequency hopping and M sequences, GOLD sequence generation, and in the AWGN environment and RAYLEIGH BER calculation)

遗传算法算法求解TSP ，在matlab中实现编程。(Algorithm genetic algorithm TSP, in the realization of programming in matlab.)

sift flow, a new method for decribing the images, it could be applied for many applications

分析双极性不归零码的功率谱特性请输入随机序列的长度N= (ubplot(312) plot(f,lpf) title( 低通滤波器 ) axis([-fs/2 fs/2-0.2 1.2]) subplot(313) plot(f,abs(yr_lpf)/N) title( 经低通滤波后的频谱 ) xlabel( f /Hz ) )