- SUIJISHU 用c语言中的rand()产生0到1之间的均匀随机数
- pld_classic_hardware_development_programming_langu pld classic hardware development programming language modelsim tutorialpld硬件开发编程语言modelsim经典教程
- AndroidTextToSpeechProject Simple Android Text to Speech Application
- sort Quick Sort Implementation
- uva10116 uva 10116 1. 假設兩陣列
- paper2 Algebraic methods for channel coding
资源列表
Newton-Raphson
- Newton-Raphsond 算法的源程序,对于要用牛顿法的来说很中重要的,程序注释很仔细,方便阅读-Newton-Raphsond algorithm source code, for use in Newton-Raphsons method is very important, the program notes very carefully, easy to read
register_ineteractively
- 通过手动选点的图像配准程序,会弹出窗口提示进行人机交互试选点-register images through interactive point-selection
program
- BP神经网络的用法,本程序主要是举例说明如何在matlab中使用神经网络。用于人脸的面向识别!-The use of BP neural network, this program is mainly an example of how to use neural networks in matlab. Used for identifying human faces!
chinesewordoutputPointMat
- 点阵输出汉字,根据汉字字库,在屏幕上涌一个一个的点拼出汉字-output the chinese word into points mat
zhengxianfft
- 正弦信号进行傅里叶变换,估计其在不同信噪比下的均值方差,并画出图形-Some interpolated Discrete Fourier Transform (DFT) methods are analyzed and estimate the different frequency under the vary SNR.
chapter-three
- matlab有限元结构动力分析与工程应用 第三章源程序-matlab finite element structural dynamic analysis and engineering application source code chapter
blurred
- this file describes and run the blurring of a picture.
MatlabMie
- 利用Mie散射原理计算多层介质球的散射特性-Principles calculation using Mei scattering scattering properties of multilayer dielectric sphere
MATLAB-Neural-network-cases
- 共有30个MATLAB神经网络的案例(含可运行程序),包括BP、RBF、SVM、SOM、Hopfield、LVQ、Elman、小波等神经网络;还包含PSO(粒子群)、灰色神经网络、模糊网络、概率神经网络、遗传算法优化等内容。-Neural network cases
本自适应LSL算法实现线性预测
- 本自适应LSL算法实现线性预测 以及考察LSL算法的收敛性: 与LMS、RLS算法进行性能比较 -The LSL algorithm adaptive linear prediction and to study the LSL algorithm convergence: the LMS, RLS algorithm performance comparison
route-recognition
- 路径规划算法,采用人工智能方法模仿机器人通过障碍找到目标-route recognition
tutorial-for-matlab-code-of-POS
- 学习粒子群算法matlab代码,有算法介绍,及相应matlab程序,非常通俗易懂-Learning particle swarm algorithm matlab code, algorithm descr iption, and the corresponding matlab program, very easy to understand
