dijkstra

用于图像去噪实验界面，包括小波去噪，中值滤波等，程序有MMATLAB的gui界面，调试成功。，已通过测试。 (For image denoising experimental interface, including wavelet denoising, median filtering, procedures the gui interface MMATLAB, debugging success. , Has been tested.)

基于阻塞矩阵预处理的抗主瓣干扰方法方向图的仿真(Simulation of anti-blocking matrix preconditioning main lobe interference pattern-based method)

目标跟踪部分采用颜色空间与纹理特征结合的方式，实现建模。(In the part of target tracking, adopts the method combination with color space,texture characteristics,Mean-Shift and kalman filter,to achieve the goal. )

PID模糊控制，matlab 运行仿真，实现模糊控制的PID参数优化(PID fuzzy control, Matlab run the simulation, PID parameter optimization of fuzzy control)

参数估计与假设检验案例分析与matlab实现，仿真运行，完整的材料(Parameter estimation and hypothesis testing case analysis and matlab implementation, simulation run)

Iph current of pv modul for grid connected pv system

信号在信道进行传输时，经常会出现串扰，采用基于最大似然序列估计（MLSE）的电子色散均衡器的方法，克服光纤通信中的由各种色散引起的码间干扰。 研究基于最大似然序列估计（MLSE）的均衡器，采用维特比算法实现，用matlab仿真出采用MLSE后的性能指标（眼图和误码率）的提升。 (Signal transmission channel often occur crosstalk, based on the maximum likelihood sequence estimation (MLSE) electronic dispersion equalizer of the ways to overcome optical fiber communications in a variety of dispersion caused by the inter-symbol interference. Research based on the maximum likelihood sequence estimation (MLSE) of the equalizer, the Viterbi algorithm, a simulation using matlab after using MLSE performance indicators (eye diagram and bit error rate) of the upgrade.)

说明：  关于微分法求最大和最小、实验与观察(Ⅰ)：模拟盲人下山的迭代寻优法、计算最佳水槽断面面积的一些应用matlab编写最优化程序的范例(On the differential method for maximum and minimum, experimental and observation (Ⅰ): Simulation of Iterative blind downhill optimization method, calculation of the best cross-section area of the sink some applications to optimize the preparation procedures matlab example)

汽车高斯曲面拟合 --- 2程序，以适应到表面二维高斯： 子= A *的进出口（ -（（西为X0）^2/2/sigmax^2 +（艺Y0的）^2/2/sigmay^ 2）。。）+ b的 这些例程是自动在某种意义上说，他们并不需要出发对模型参数的猜测规范。 autoGaussianSurfML（十一，彝，子）适合通过对模型参数的最大似然（最小二乘）。它首先计算了该模型在许多可能的参数值，然后选择最佳质量设置和细化与lsqcurvefit它。 autoGaussianSurfGS（十一，彝，紫）的估计，通过指定数据的贝叶斯生成模型，然后采取通过从模型吉布斯抽样样本后ofthis模型参数。这种(Auto Gaussian Surface fit --- 2 routines to fit a 2D Gaussian to a surface: zi = a*exp(-((xi-x0).^2/2/sigmax^2+ (yi-y0).^2/2/sigmay^2))+ b The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters. autoGaussianSurfML(xi,yi,zi) fits the model parameters through maximum likelihood(least-squares). It first evaluates the quality of the model at many possible values of the parameters then chooses the best set and refines it with lsqcurvefit. autoGaussianSurfGS(xi,yi,zi) estimates the model parameters by specifying a Bayesian generative model for the data, then taking samples from the posterior ofthis model through Gibbs sampling. This method is insensitive to local minimain posterior and gives meaningful error bars (Bayesian confidence intervals))

非常好的函数程序,关于超宽带的,省了不少事情啊(very good function procedures for UWB, save a lot of things ah)