ezwalgorithm

fractal dimension calculator

Matlab策略之动量策略，根据前P个月的收益率，选取股票收益率最高和最低的组合买入，并持有Q个月(Matlab strategy momentum strategies, based on the previous month yields P, select the highest and the lowest stock returns a combination of buy and hold Q Months)

数据归一化源码，可用于数据处理将数据归一化到0-1之间(The data normalization codes can be used for data processing the data normalized to between 0-1)

FP laser matlab simulation

Beamformer design for Zero Forcing and Dirty Paper Coding

说明：  蒙特卡洛模拟光子在组织中的运动 matlab，内有详细的蒙特卡洛模拟光子在组织中的运动内有详细的蒙特卡洛模拟光子在组织中的运动(Monte Carlo simulation of the movement of photons in the organization MATLAB, there are detailed Monte Carlo simulation of the movement of photons in the organization there are detailed Monte Carlo simulation of the movement of photons in the organization)

详细介绍kalman滤波器在matlab中的应用！自己编的！申请加精！！！(Details of kalman filter in matlab application! Own it! Application plus fine! ! !)

单个的MIMI-OFDM系统的MATLAB的仿真，有英文注释(Single MIMI-OFDM system MATLAB simulation, with English notes)

matlab车牌识别，用c语言实现，已通过验证(matlab license plate recognition)

把辨识分成两步进行：第一步：利用相关分析法获得对象的非参数模型（脉冲响应或相关函数）；第二步：利用最小二乘法、辅助变量法或增广最小二乘法等，进一步求的对象的参数模型。如果模型噪声与输入无关，则Cor-ls相关最小二乘法（二步法）可以得到较好的辨识结果。Cor-ls相关最小二乘法（二步法）实质上是先对数据进行一次相关分析，滤除了有色噪声的影响，再利用最小二乘法必然就会改善辨识结果。能适应较宽广的噪声范围，计算量不大，初始值对辨识结果影响较小。但要求输入信号与噪声不相关(The identification is divided into two steps: the first step: using the correlation analysis method for object nonparametric model (impulse response or related function) The second step: using the least squares method, auxiliary variable method or augmented least squares method and so on, further for the parameters of the object model. If the model input noise and independent, the Cor- ls related least squares (two footwork) can get good recognition results. Cor- ls related least squares (two footwork) is essentially the data to a correlation analysis, filter in addition to the influence of colored noise, using least squares inevitable will improve the identification result. To adapt to a wide range of noise and calculation is not big, the initial value to identification results less effect. But for the input signal and noise are not related)