BP_CPP-FortranMatlab

MATLAB的频谱分析的具体程序及注意事项(the frequency spectrum in matlab)

数字信号处理的滤波器设计，有限长冲击响应FIR滤波器,(Digital signal processing filter design, finite impulse response (FIR) filter,)

factorial numbers, factorial numbers,factorial numbers

说明：  在过去的几年中, 背包问题吸引了众多理论研究人员和应用工作者的注意力, 因而得到了广泛而深入的研究。理论方面, 研究兴趣主要来自于该问题简单的结构, 而这种特点既可以深入探索许多组合特性, 又可以通过解决一系列背包子问题来最终求解更为复杂的优化问题。实践方面, 这些问题可以表述许多工业场合的应用, 最典型的应用包括货 物装载、存储分配和资本预算等等。在寻找背包问题可行解的过程中, 出现了众多的算法, 本文是利用MATLAB 程序求背包问题可行解的一种算法。(In the past few years, knapsack problem has attracted many researchers and application of theoretical attention of workers, which has been extensive and in-depth study. Theory, research interest mainly from the simple structure of the problem, and this characteristic combination of both in-depth exploration of many features, but also can solve a series of knapsack sub-problems to solve more complex final optimization problem. Practice, these problems can be expressed in many industrial applications where the most typical applications include cargo loading, storage, distribution and capital budgets, and so on. Knapsack problem in finding feasible solutions in the process, there have been many algorithms, this is the knapsack problem using MATLAB program seeking a feasible solution algorithm.)

Robust Multi-View Spectral Clustering via Low-Rank and Sparse Decomposition

说明：  我找到的最好的MATLAB教程.目录详细，例子充分！(It s the best selflearning book I ve searched.)

模糊聚类分析的matlab程序，先将原矩阵标准化，再标定并生成模糊相似矩阵，最后生成动态分类图。(Matlab fuzzy clustering analysis program, the first of the original matrix standardized, re-calibration and generate fuzzy similarity matrix, and finally generate dynamic classification map.)

说明：  svm工具箱，应用于matlab平台，给出了C_SVC二类分类算法的历程(svm toolbox, used matlab platform, given C_SVC the course of second-class Classification Algorithm)

说明：  使用MatlaB进行仿真，分析各种频谱感知方法，对比优缺点，展望未来发展情况(Use MatlaB simulation, analysis of various spectrum sensing method, compared the advantages and disadvantages, the future development of)

matlab优化方法 不精确的一维线性搜索(matlab optimization method inaccurate one-dimensional linear search)