matlab_ID3

我以前主要做MTALAB图像处理工作，现在慢慢整理以前的代码，上述未简单的图像对数变换处理程序(I used to do MTALAB main image processing work, and now slowly finishing the previous code, these are not a simple logarithmic transformation of the image processing)

This is my own developed code in matlab for free flight Trajectory.

神经元信号处理软件，处理多电极阵列记录的*.mcd数据(neurons signal processing software to handle multi-electrode array record data*. mcd)

说明：  利用贝叶斯方法求解标准直线阵列doa估计问题(Using Bayesian method to solve DOA estimation problem)

用MATLAB语言编制定的用于流体计算和传热的程序(Compiled with the MATLAB language for set procedures for fluid and heat transfer calculations)

newtone raphson to solving differeintional equations

This M Code simulate the effects of clipping and filtering on PAPR PAPR reduction in OFDM-based wireless standard.Also the performance of BER versus SNR of original OFDM signals with PAPR reduction based on clipping and filtering schemes over AWGN channel is evaluated. The simplest and most widely used technique of PAPR reduction is to basically clip the part of signals that are outside the allowed region.Clipping methode introduces both in band distortion and out of band radiation into OFDM signals which degrades the performance including the BER and spectral efficiency.Filtering can reduce out of band radiation after clipping although it can not reduce in-band radiation distortion.However, clipping may cause some peak regrowth so that the signal after clipping and filtering will exceed the clipping level at some point.To reduce peak regrowth a repeated filtering and clipping operation can be used to obtain a desirable PAPR at a cost of computational complexity increase.

Matlab functions implementing non-parametric local linear smoothing (LLS) for one-dimensional curve fitting: yi = f(xi) + ei for i = 1, 2, ..., n. The toolbox contains: (i) the usual LLS estimator, see e.g. [1] (ii) a jump-preserving (two-sided) LLS estimator proposed in [2] (iii) a modified version of the two-sided LLS proposed in [3].(Matlab functions implementing non-parametric local linear smoothing (LLS) for one-dimensional curve fitting: yi = f(xi)+ ei for i = 1, 2, ..., n. The toolbox contains: (i) the usual LLS estimator, see e.g. [1] (ii) a jump-preserving (two-sided) LLS estimator proposed in [2] (iii) a modified version of the two-sided LLS proposed in [3].)

离散傅里叶变换及频谱分析的实验报告，离散时间系统时域、变换域分析的实验报告(Discrete Fourier transform and spectral analysis of the lab report, lab report analysis of discrete-time systems domain, transform domain)

Kalman滤波在测量方差已知的情况下能够从一系列存在测量噪声的数据中，估计动态系统的状态(Kalman filter can be used to estimate the state of a dynamic system from a series of data that has measurement noise)