资源列表
nn7C
- 神经网络方面的程序，给出了7种c语言实现的例子，对应用算法很有帮助-Neural network procedures, given the realization of seven kinds of c language example of the use of algorithms useful
Matrix_Template
- 自己写的一个Matrix模板，推荐在IT++库下进行通信相关程序仿真。-Matrix to write a template, recommended in the IT++ library to communicate relevant procedures under the simulation.
tongyuan1
- 常用的数字PAM信号波形及其功率谱的仿真，包含源码和一份实验报告，有详细的分析。-Commonly used in digital PAM signal waveforms and power spectrum of the simulation, including source code and a test report, detailed analysis.
fisherandbayes
- 模式识别实验作业 bayes 和 fisher 线性分类器 有实验报告-Pattern Recognition and bayes experimental operation fisher linear classifier experimental report
IntroductiontoSignalProcessing
- Introduction to Signal Processing 书的源代码，里面有非常多的数字信号处理算法，很多都是工程使用的，理论上也很有参考价值.是用matlab和C语言写的。-Book Introduction to Signal Processing of the source code, there are an awful lot of digital signal processing algorithms, many of which are used in the proj
ModifiedNewton
- 修正牛顿法程序演示，用于求解n元二次函数-Demonstration of Newton' s law to amend the procedure for solving quadratic function of n
steepestdescent
- 改进了的最速下降法，用于求解正定n元二次函数-Improved steepest descent method for solving n-positive definite quadratic function
conjugategradient
- 最优化程序设计中的共轭梯度法，用于求解n元二次函数-Optimization procedures for the design of the conjugate gradient method for solving n-quadratic function
shujujiegou
- 先说说什么叫稀疏矩阵。你说，这个问题很简单吗，那你一定不知道中国学术界的嘴皮子仗，对一个字眼的“抠”将会导致两种相反的结论。这是清华2000年的一道考研题：“表示一个有1000个顶点，1000条边的有向图的邻接矩阵有多少个矩阵元素？是否稀疏矩阵？”如果你是个喜欢研究出题者心理活动的人，你可以看出这里有两个陷阱，就是让明明会的人答错，我不想说出是什么，留给读者思考-First talk about what is meant by sparse matrix. You said that the
vcpso
- 利用vc++编程调用ansys对模型进行修正.使用的是带遗传算法的粒子群优化算法.-Using vc++ programming model called the amendment ansys. Using a genetic algorithm with particle swarm optimization algorithm.
mimasuo
- 利用proteus仿真电子密码锁,通过调试，对初学单片机有很好的帮助。-Proteus simulation of the use of electronic locks, through the debugging of single-chip a very good beginner help.
fit_ellipse
- 拟合椭圆的matlab代码，对给出的至少5个点的数据进行最小二乘拟合。-Elliptical fitting matlab code, at least for the given five-point least-squares fitting of data.