CN101064783

for signal processing

Complex networks have some common basic model, such as random graph, WS small-world networks, NW small-world networks and scale-free BA network, the program generated from the mechanism of these networks to generate the complex network model and analysis its basic nature, such as the average path length.

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

SPCA 主成分分析 数据分析中的必备精品。数学知识哦(The SPCA the main component analysis)

时间序列自回归分析的matlab代码，根据之前的数据来预测后面数据的变化趋势。(Autoregressive time series analysis of matlab code, to predict the variation tendency of the back data according to the data before.)

Vincent Jaquet & Marek Pechal基于社交网络的传染扩散模型，matlab程序(Vincent Jaquet & Marek Pechal infection based social network diffusion model, matlab program)

this program support ofdm systems using 8PSK modulation. ofdm utilize fft/ifft module to transmit parallel data streams

说明：  用matlab通过libiio实现对AD9361的控制，主要利用matlab的系统对象功能实现(AD9361 is controlled by MATLAB through libiio. The system object function of MATLAB is used to realize the control.)

说明：  图像阈值分割技术在图像分割中具有重要的意义。遗传算法既可以对全局信 息高效利用，也减少了存储空间和计算量。利用遗传算法的优点，提出了一 种用改进遗传算法的图像分割的方法，可以将父代中适应度大的个体代替当前代 中的个体，保证了可以选出最优的个体。遗传算法是具有鲁棒性和自适应性的搜 索方法.通过实验对比，表明该方法具有快速、稳定分割的特点。(Image threshold segmentation technology is of great significance in image segmentation. Genetic Algorithms can be used for global information Efficient utilization of information also reduces storage space and computation. Based on the advantages of genetic algorithm, a new genetic algorithm is proposed. A method of image segmentation based on improved genetic algorithm can replace the current generation with individuals with large adaptability in the parent generation. The individual in the system ensures that the best individual can be selected. Genetic Algorithms are Robust and Adaptive Search The experimental comparison shows that the method has the characteristics of fast and stable segmentation.)

说明：  求R波及极大值的matlab程序，实验有效。(Find the maximum value of R matlab program affected the experimental effective.)