Spectrum

《系统辨识及其MATLAB仿真》一书中第2、5、7章的原码。(" System Identification and MATLAB simulation,2，5，7 Chapter source )

改进的LEACH协议，考虑初始节点的能量分布不均的情况(Improved LEACH protocol, considering the initial node of the uneven distribution of energy)

简单的OFDM流程，使用matlab自带的QAM函数，适合初学者，包含FFT，循环前缀，串并变换等(OFDM simple process, using the built-in QAM matlab function, suitable for beginners, including FFT, cyclic prefix, string and transform)

matlab仿真的boost升压电路，应用于光伏发电逆变并网中。(The boost circuit, boosting circuit is applied to the simulation model of photovoltaic power generation in the.)

毕设的题目，LTE无线信道建模，通过MATLAB仿真了包括多径信道，考虑了多普勒频移以及瑞利信道，考虑了 oOciGh参数以及 ERmEEnc衰落的多参数信道模型，调试正常。?(Complete set of topics, LTE channel modeling, simulation by MATLAB, including multipath channel, taking into account the Doppler shift and Rayleigh channel, considering the oOciGh parameter and multi-parameter ERmEEnc fading channel model, debugging normal.)

A nice and easy object tracking by A. Bhargav Anand.

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))

this is game optical recognition by mathlab

solve pocklington s equation

matlab经典的例子，很适合初学者慢慢体会(Matlab classic example, very suitable for beginners slowly experience )