daobo

本文详尽阐述了如何在matlab环境下如何使用6.x版本进行数字信号处理，原书扫描版(This article elaborated on how the environment in matlab 6.x version of how to use digital signal processing, the original version of the book scanning)

c语言实现互相关函数进而实现两个信号时延计算(c language cross-correlation function and then the two signal delay calculation)

求最大团的算法，Bron-Kerbosch 算法计算图的最大全连通分量(团clique)，matlab实现(Seeking maximum clique algorithm, Bron-Kerbosch algorithm to calculate the maximum fully connected graph component (group clique), matlab achieve)

两阶段DEA模型的matlab程序源码，可以用来计算效率，完全傻瓜式操作。(Two-stage DEA model matlab program source code, can be used to calculate the efficiency, completely fool-type operation.)

单径或多径瑞利衰落信道仿真，采用热核构造权重，本程序的性能已经超过其他算法，直线阵采用切比学夫加权控制主旁瓣比，包括广义互相关函数GCC时延估计，鲁棒性好，性能优越。( Single path or multipath Rayleigh fading channel simulation, Thermonuclear using weighting factors This program has exceeded the performance of other algorithms, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Including the generalized cross-correlation function GCC time delay estimation, Robustness, superior performance.)

二阶有源低通滤波器在各参数设置下的频谱分析。(Second-order active low-pass filter settings in the parameters of spectral analysis.)

this is matlab code for estimating the static linear system with Recursive Least Squre that is written by matlab 7.0. Here we want to estimate the below function: 1 - u^2 + 2*u^3 +u^5 +3*u^7 these are 2 files : without noise and with noise finally,there are plots for showing results.

这是一个基于线性矩阵的神经网络控制程序，它比普通的更简单，因为其应用的参数较少。(This is a learning model for matrix-based data. It can be more efficient than standard vector-based models when the training sample is small or the inputs are matrices, since this model has less parameters than standard ones and exploits an inner structure of the inputs)

线性调频（LFM）脉冲压缩雷达仿真演示效果图(Linear frequency modulation (LFM) pulse compression radar simulation)

说明：  混沌时间序列预测法的实现仿真，时间延迟，关联维，最大Lyapauon指数(Chaotic time series prediction method to achieve simulation, time delay, correlation dimension, largest Lyapauon index)