convexprog

免疫算法实现多峰、多极值函数平面曲面拟合(Immune algorithm to achieve multi-peak and multi-planar surface fitting extremal function)

数学建模中经典问题理发店模型的matlab解！绝对原创的高效代码，注释丰富，易于修改，是各个正在练习数学建模的同学必备参考资料！@~(Classic problem of mathematical modeling in matlab solution barber shop model! Absolutely original and efficient code, comments, rich, easy to modify, is the mathematical modeling of all the students are contacting an essential reference! @ ~)

Sparse MRI Sparse MRI reconstruction based compressed sensing(Sparse MRI reconstruction based compressed sensing Sparse MRI reconstruction based compressed sensing)

模糊PID程序，可以实现高斯/三角/梯形模糊PID算法(Fuzzy PID program, you can achieve Gauss/triangle/trapezoid fuzzy PID algorithm)

该代码是用C++编写的遗传算法,可在C++或 matlab环境下都可运行.(The code is C++ Prepared by genetic algorithm, can be C++ Or can be run under matlab environment.)

经典MATLAB算法，插值计算，拟合，绘图等(Classic MATLAB algorithms, interpolation, fitting, drawings, etc.)

基于LANDMARC的定位系统上进行的算法复杂度的减小的优化，包括了具体的优化后系统的实现，误差前后对比，改文章还提出了一种adaptive的定位算法，更利于外部变化环境下(In wireless networks, a client’s locations can be estimated using signal strength received from signal transmitters. Static fingerprint-based techniques are commonly used for location estimation, in which a radio map is built by calibrating signal-strength values in the offline phase. These values, compiled into deterministic or probabilistic models, are used for online localization. However, the radio map can be outdated when signal-strength values change over time due to environmental dynamics, and repeated data calibration is infeasible or expensive. In this paper, we present a novel algorithm, known as Location Estimation using Model Trees (LEMT), to reconstruct a radio map by using real-time signal-strength readings received at the reference points. This algorithm can take real-time signal-strength values at each time point into account and make use of the dependency between the estimated locations and reference points. We show that this technique can effectively accommodat)

说明：  SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；调用时Genetic（目标函数名） 使用SGA时，首先需要一个目标函数（像AimFunc.m），该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方(SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m)

说明：  TDOA/AOA定位的扩展卡尔曼滤波定位算法(TDOA/AOA positioning the extended Kalman filter algorithm)

利用MATLAB编程实现数字滤波器的功能(Digital filters using MATLAB programming functions)