13-WindPowerMaximizer---JBaker

手把手指导神经网络matlab编程 并附有重要部分代码(Hands-on guide matlab neural network together with an important part of programming code)

具有状态约束的卡尔曼滤波器仿真，该算法的使用在一个简单的非线性车辆跟踪问题。(Calman filter with state equality constraint)

说明：  Sparse Bayesian Learning

matlab 卡尔曼跟踪，可以很好的跟踪到小球(matlab kalman)

第一步是计算输人信号单边功率谱密度（ESD）。使用快 ％速傅里叶（FFr）算法将信号从时域转换到频域。因为FFr算法的输出是离散谱，而这 ％里我们需要的是连续谱，因此需要引人不同的比例因子来实现从离散谱到连续谱的转换。 ％在第二步中，我们利用迭代算法计算出相对于特定阂值的ESD的最高和最低频率，从而 ％估算出被检测信号所占用的带宽。这种算法同时适用于基带信号和已调制信号。最后， ％在第三步中，我们给出了输出图形的原代码。(The first step is calculating the input signal unilateral power spectral density (ESD). The use of fast Fourier speed (FFr) algorithm for the signal conversion from time domain to frequency domain. FFR algorithm because the output is a discrete spectrum, which we need is a continuous spectrum, so the need for food of different scale factor to achieve from the discrete spectrum to continuous spectrum conversion. In the second step, we use iterative algorithm to calculate a specific threshold in relation to the ESD of the highest and lowest frequency, thus estimated to be occupied by the signal detection bandwidth. This algorithm applies to both baseband signal and modulation signals. Finally, in the third step, we give the graphical output of the original code.)

是两个综合性较强的实例，分别是Visual C++实现的基于神经网络的文字识别系统和车牌定位系统(Are two examples of more integrated, namely Visual C++ implementation of text based on neural networks and the license plate recognition system positioning systems)

MATLAB 绘图教程对大家会有用的 (MATLAB graphics tutorial would be useful to everyone)

该源程序可直接用于对原始时域信号VTRM成像的信号分析领域。(The source signal analysis can be used directly in the original time-domain signal VTRM imaging.)

经典的标量JA 模型的代码，非常适合磁滞模型初学者 我给出了两种实现方式的代码 一个用固定点迭代实现，可以容易变成c语言 另一个使用simulink 实现，可以加到控制图中作为一个子函数(the code is programmed following the classical paper of D.Jiles ,fellow of IEEE. The JA model is great and innovative work in magnetic material.)

2011年全国大学生数学建模竞赛A题，测定土壤中污染物浓度，获得国家一等奖！(2011 National Undergraduate Mathematical Modeling Contest A title, measured concentrations of pollutants in soil, access to national prize!)