noise_1

说明：  该文件给出了CDMA系统的仿真程序，对通信系统的各方面性能给出评估(The document gives the CDMA system simulation program, all aspects of the communication system performance evaluation is given)

matlab编程 中文版第二版 电子书 简单介绍matlab的基本入门和程序实现(matlab programming Chinese version of the second edition ebook matlab briefly the basic entry-level and program implementation)

卡尔曼滤波算法，用matlab语言编写的，可以直接使用(Kalman filtering algorithm, matlab language, can be used directly)

A 3-Phase ac Induction Motor Control System Based on the MC68HC908MR32

图像代数操作，空间域变化和图像的邻域和块操作。(Image Algebra operations, changes in the spatial domain and image of the neighborhood and block operations.)

palm print recognition project did in matlab

在简要分析遗传算法要素的基础上，介绍了基于MATLAB的遗传算法工具箱的设计。最后给出了一个 用设计的MATLAB遗传算法工具箱的求函数极值的应用实例。(In a brief analysis of the elements of genetic algorithm based on the introduction based on the MATLAB genetic algorithm toolbox design. Finally, a design with MATLAB Genetic Algorithm Toolbox for the application of extreme value function.)

he basic idea of the method of bisection is to start with an initial interval, [a0,b0], that is chosen so that f(a0)f(b0) < 0. (This guarantees that there is at least one root of the function f(x) within the initial interval.) We then iteratively bisect the interval, generating a sequence of intervals [ak,bk] that is guaranteed to converge to a solution to f(x) = 0.

基于新的树编码方式用免疫遗传算法解决DCMST问题：提出了一种新的树编码方式，可以方便地表达一棵树，简化了树在遗传算法中的编码表达。且新的树编码方式清楚地表达了边的信息，有利于疫苗的设计。此外，本文使用免疫遗传算法，有效地克服了传统遗传算法中解退化的现象。数值实验表明，解的振荡相对于传统遗传算法减小了，且收敛速度更快。(New tree-based encoding genetic algorithm with immune DCMST problem: A new tree encoding, you can easily express a tree, the tree simplifies the code in the expression of genetic algorithm. And new tree encoding side clearly expressed information is conducive to vaccine design. In addition, we use the genetic algorithm can effectively overcome the traditional genetic algorithm, the phenomenon of degradation in the solution. Numerical experiments show that the oscillation of solutions with respect to reducing the traditional genetic algorithm, and the convergence faster.)

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