tx_modulate

gmsk modulation. some code

Alpine测试函数，经过实验的确可以用，哈哈，分享给大家(Alpine test function, indeed can be used through the experiment, ha ha, for everyone to share)

function [A,w,type,tao]=amplres(h) 《数字信号处理教程——MATLAB释义与实现》子程序 给定FIR滤波器系数求滤波器符幅特性(function [A, w, type, tao] = amplres (h) " digital signal processing tutorial- MATLAB Interpretation and Implementation" procedure FIR filter coefficients of a given symbol rate filter characteristics of demand)

说明：  创建感知器神经网络 并对其进行训练 计算运行时间 matlab7.0环境运行无误(Create perceptron neural network and training matlab7.0 run-time computing environment to run correctly)

channel uwb model for indoor communication

此程序用于产生直线阵天线阵列的方向性图，非常有价值(This procedure is used for creating a linear array of antenna array pattern)

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))

fingerprint recognition

matlab中如何进行卡尔曼滤波器建模 (it is writtenn by me..you must understand)

prony算法的MATLAB程序，可直接运行，可设置迭代次数p，次数越大拟合效果越好(Prony algorithm MATLAB procedures, can be directly run, can set the number of iterations of P, the number of times the better the better fitting results)