Matlabbcs1111

轮廓提取的子程序,matlab编的，有注释(Profile extraction subroutine)

The two procedures are the homework of Xiamen University.these two programmes are Kalman Filters written in matlab language.

说明：  该MATLAB程序生成10个Gold码序列，每个码序列长31位，并计算各个码序列间的相关性。(This MATLAB program generates 10 Gold codes sequences, each of 31 bits long. The correlation performance among code sequences is also computed.)

KalmanFilter 递归程序，非常经典(KalmanFilter recursive procedures, very classic)

BPSK and ASK simulation. I m only sharing it with you.

功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。(Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe)

it contents some basic code to finding root of a equation

考虑微分方程在如下步长分布采用向前Eular、向后Eular，梯形公式、改进Eular和四阶龙格库塔方法计算近似值(procedure of approximate error using matlab)

MATLAB codes for blind forgery systems

在Matlab中利用傅里叶变换求解波动方程，快速简便(Fourier transform to solve the wave equation in Matlab, quick and easy)