Convolution-decode-

二阶锁相环在输入信号为调频信号是的混沌特性分析(Second-order PLL FM signal in the input signal is Chaotic Characteristic Analysis)

说明：  Simulation distribution1

在程序中用一般的MUSIC方法估计了信号的频谱，从两图中可看出在信号各频率处，频谱的峰值较大，故能明显的与噪声相区别，可在一定程度上避免在信号幅度较小时信号被噪声淹没的情况。(MUSIC method general procedures used to estimate the spectrum of the signal, it can be seen from the two graphs in the signal at each frequency of the spectrum peak larger, and it could be significantly distinguished from noise in the signal can be avoided to some extent a lesser extent, the signal is noise submerged.)

PAPR OFDM clipping and filtering

BPSK信号在高斯和瑞利信道下的误码率曲线用matlab实现(Modulation and demodulation)

数据整理，数据和标签和样本数量之间的匹配，当然也可以用其他方法，仅供参考(Data collation, matching between data and label and sample quantity, of course, other methods can be used, for reference only)

基于羽田孜模型的预知的路径损耗 基于爱德华兹和德金模型的路径损失预知 基于帕森斯与伊布拉因模型的路径损耗预知(Tsutomu Hata model based on predictable path loss payments based on Edwards and the German model to predict the path loss model based on Parsons and Ibraim predict the path loss)

fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b) with parameters: u,b format: result = fit_ML_laplace( x,hAx ) input: x - vector, samples with laplace distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields u,b - fitted parameters CRB_b - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

可以自动调整matlab figure的尺寸，使众多图保持一致，用于论文中图的调用比较方便，更加美观(Matlab figure can automatically adjust the size, so that many figure consistent call graph paper for more convenient, more beautiful)

用于多目标追踪的基概率密度假设粒子滤波程序(matlab code for CPHD filter )