matlab-Citra-Digital

DSP using Matlab. Ingle & Proakis.

用于对振动信号进行小波包分解，能量谱计算，从而进行后续分析(It is used to analyze the vibration data by wavelet packet decomposition, wavelet packet energy spectrum, and make further analysis.)

说明：  遗传算法是计算数学中用于解决最佳化的搜索算法，是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题，一定数量的候选解（称为个体）的抽象表示（称为染色体）的种群向更好的解进化。传统上，解用二进制表示（即0和1的串），但也可以用其他表示方法。进化从完全随机个体的种群开始，之后一代一代发生。在每一代中，整个种群的适应度被评价，从当前种群中随机地选择多个个体（基于它们的适应度），通过自然选择和突变产生新的生命种群，该种群在算法的下一次迭代中成为当前种群。(Genetic algorithm (GA) is a search algorithm used to solve optimization in computational mathematics. It is one of evolutionary algorithms. Evolutionary algorithms were originally developed by borrowing phenomena in evolutionary biology, such as heredity, mutation, natural selection and hybridization. Genetic algorithms are usually implemented as a computer simulation. For an optimization problem, an abstract representation of a certain number of candidate solutions (called individuals) (called chromosomes) evolves towards a better solution. Traditionally, solutions are represented in binary (that is, strings of zeros and ones), but other representations are possible. Evolution begins with a population of completely random individuals, and it happens from generation to generation.)

外文原版电子书，详细的讲解了关于matlab和labview在信号处理中的应用。(Original foreign language books, explained in detail on the matlab and labview signal processing applications.)

用Bellman-Ford 算法实现的路由协议，适用距离矢量协议bgp 等， （matlab 源码）(This program uses the Bellman-Ford algorithm to find the set of routing tables which would be generated in the BGP protocol)

说明：  曲线拟合，在众多的样本点中进行拟合，找出满足样本点分布的多项式(Curve fitting, in a large number of sample points were fitted to identify the distribution of sample points satisfy the polynomial)

A 2D thinning algorithm in matlab code

algorithm swarm particles fo matlab

潮流计算 极坐标 牛拉法 牛拉发 牛拉发 极坐标 极坐标 潮流分析(Flow calculation in polar coordinates cattle Rafah, the ox-drawn ox-drawn trend analysis of polar coordinates to polar coordinates)

about using matlab for solving Knapsack Problem