OceansToolbox

find peaks in matlab

NSGA_II多目标优化算法，用于工程优化计算，很好很强大(NSGA_II)

Wireless Sensor Network is the network of power-limited sensing devices called sensors. Wireless sensor network is differ other networks in terms of optimization of amount of energy because when these sensors sense and transmit data to other sensors present in the network, considerable amount of energy is dissipated. Various routing algorithms are proposed to limit the powers used by the wireless sensors. Hierarchical routing protocols with the concept of clustering like LEACH and and DEEC are already best known for maintaining energy efficiency. In this submission, we will compare these two protocols.

慢跳频的实现，同时对比了在不同的干扰存在的条件下对信号传输的影响(Slow frequency hopping implementation, while comparing the effect of different conditions in the presence of interference signal transmission)

invokes image dialog box for interactive image loading

利用matlab实现对单边带信号（ssb）进行调制与解调，适用于初学者(Using matlab to achieve single-sideband signal (ssb) for modulation and demodulation, for beginners)

digital image processing using matlab, 这里有许多程序员编的函数，以及一些具体的例子，怎么来应用这些函数实现图像处理(digital image processing using matlab, here there are many programmers made a function, as well as some specific examples, how to apply these functions to achieve image processing)

autocorrelation matlab file

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

分支定界法求解TSp问题的分析研究以及matlab实现(Branch and bound method to solve the problem described TSp)