stduy_of_DCDC02

lpc feature voice its important for extraction 14 coofeecient

说明：  fastICA的信号分离的界面的算法表示，须使用相对的fastica算法(interface arithmetic)

Demosaicing Value Calculation

各种求解非线性方程组的算法程序，包括牛顿法及变形，不动点迭代，共轭梯度等等等等(Various algorithms for solving nonlinear equations procedures, including Newton and deformation, fixed point iteration, conjugate gradient, etc., etc.)

CVT_METRIC is a MATLAB program which computes a CVT (Centroidal Voronoi Tessellation) calculation under a spatially varying metric. d(a,b) = ( a - b ) * A * ( a - b )

设有一个随机信号 服从AR(4)过程，它是一宽带过程，参数如下： 我们通过观测方程 来测量该信号， 是方差为1的高斯白噪声，用LMS算法和RLS算法通过观测方程来估计原信号。并用Matlab对此问题进行仿真。 (There is a random signal obedience AR (4) process, which is a broadband process parameters are as follows: We are measured by observing the signal equation is a Gaussian white noise variance, with the LMS algorithm and RLS algorithm to estimate the observation equation the original signal. This issue with Matlab simulation.)

用matlab编程实现图像配准功能，图像配准(Matlab programming to realize image registration function)

LFMCW 雷达测距测速，分别为单目标和多目标的情况，附有相应参考文献，简单易懂(LFMCW radar for range and velocity detection. Cover both single target and multitargets cases. Easy to understand with reference attached.)

说明：  灰色系统理论是研究解决灰色系统分析、建模、 预测、决策和控制的理论.灰色预测是对灰色系统 所做的预测.目前常用的一些预测方法（如回归分 析等），需要较大的样本.若样本较小，常造成较 大误差，使预测目标失效.灰色预测模型所需建模 信息少，运算方便，建模精度高，在各种预测领 域都有着广泛的应用，是处理小样本预测问题的 有效工具(Grey system theory is the research and solution of grey system analysis, modeling, The theory of prediction, decision - making and control At present, some commonly used prediction methods (such as regression score) If the sample size is small, it often results in a comparison Large error, so that the prediction of the target failure Less information, convenient operation, high modeling accuracy, in a variety of prediction collar Fields are widely used to deal with small sample prediction problems Effective tool)

function [a,b,err] = shanks(x,p,q) SHANKS Model a signal using Shanks method ---- Usage: [a,b,err] = shanks(x,p,q) The sequence x is modeled as the unit sample response of a filter having a system function of the form H(z) = B(z)/A(z) The polynomials B(z) and A(z) are formed from the vectors b=[b(0), b(1), ... b(q)] a=[1 , a(1), ... a(p)] The input q defines the number of zeros in the model and p defines the number of poles. The modeling error is returned in err.