dingbuchangLMS

内容为 自适应复高斯雷达目标识别 的Matlab程序。 (Content adaptive reuse Gaussian radar target recognition Matlab procedures.)

传统遗传算法、改进遗传算法、在神经网络建模中应用(Traditional genetic algorithm, improved genetic algorithms, neural network modeling applications)

本实验目的是了解非参数估计—Parzen窗估计，对表格3中的数据进行Parzen窗估计和设计分类器.Parzen窗方法：假设区间Rn是一个d维的超立方体，hn表示超立方体的边长，体积为Vn=hnd。(Purpose of this study is to understand the non-parametric estimation-Parzen window estimate of the data in Table 3 Parzen window estimate and design classifiers. Parzen window method: Suppose a d-dimensional interval Rn is the hypercube, hn that side of the hypercube , volume Vn = hnd.)

介绍matlab在汽车行业的标杆业务,为广大爱好者提供索引(description the matlab s manurity in automotive industry)

LDPC编译码的matlab仿真。内涵源程序以及文章说明，希望对大家有所帮助(LDPC codec matlab simulation. Source and content of the article shows, we want to help)

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.)

Hiding of data in the images

用专家系统优化下面的PID参数或设计一个专家控制器，被控对象为 并与PI控制算法进项比较(use expert system optimization below the PID parameters, or a design expert controller, and object to the PI control algorithm with a credit comparison)

PSO基本实现过程的详细演示，适合初学者进一步加深对理论的理解，推荐使用(A detailed presentation of the basic PSO implementation process, suitable for beginners to further deepen the understanding of the theory, recommended the use of)

IMAGE PROCESSING TOOL USING GUI IN MATLAB