资源列表
TRIE
- 字典树，实现字典树的插入删除查找功能。效率高-Dictionary tree, insert the tree removed to achieve a dictionary lookup function. Efficient
k-means
- K-means均值聚类算法,用C语言实现 k-均值聚类算法 -Means K-means clustering algorithm, using C language realization of k-means clustering algorithm
LM
- LM算法的简要描述。LM算法是一种定位多变量函数最小值的迭代技术，是解决非线性最小二乘问题的基本技术之一。-The Levenberg-Marquardt(LM)algorithm is an iterative technique that locates the minimum of a multivariate function that is expressed as the sum of squares of non-linear real-valued functions[4
waveletmvdr
- 对含窄带噪声的语音信号进行小波去噪，并汇出LP谱和MVDR谱-LP and MVDR based wavelet
PRQMF
- 用Matlab实现完全重构双通道滤波器组，用matlab自带函数库实现-Using Matlab to achieve perfect reconstruction two-channel filter banks, the library comes with a matlab implementation
s223_5_mutilate_LevelPWM_10b
- 二极管箝位五电平电路建模与仿真的mdl文件，本人所作作业，绝对可以运行。-Diode-clamped five-level circuit modeling and simulation mdl file, I made the job can definitely run.
scasca
- 迷宫求解 用一个m×n长方阵表示迷宫，0和1分别表示迷宫中的通路和障碍。设计一个程序对于任意设定的迷宫，求出一条从入口到出口的通路，或得出没有通路的结论。-Maze solving an m × n long phalanx said the maze, the maze of pathways and barriers 0 and 1, respectively. Design a program for any set of the maze, find a path from entran
jizuobiao
- 本程序采用MATLAB对IEEE标准测试系统算例进行编程，并给出了9,14,30，39,57等系统的数据，将数据直接导入潮流主程序编程进行计算分析-The program uses MATLAB to IEEE standard test systems for programming examples, and gives 9,14,30,39,57 other system data, trend data directly into the main program for calcula
HOPFIELD
- c编的hopfield神经网络源程序，已测试通过，这是离散型hopfield神经网络模型-c compiled hopfield neural network source code, have been tested, it is discrete hopfield neural network model
fft
- 设计一个按照时间抽取的基2快速傅里叶变换（基2FFT-DIT）。输入倒位序，输出自然顺序。-Design is taken in accordance with the time radix-2 fast Fourier transform the (base 2FFT-DIT). Enter the inversion sequence, the output of the natural order.
fft
- fft算法的具体实现，应用基2法实现，有比较好的实验结果。-fft concrete realization of the algorithm, the application base 2 method achieved a relatively good results.
F_LMS
- matlab实现系统辨识 采用LMS（最小均方误差）估计 随机信号均值为0方差为1，加入高斯白噪声-matlab for system identification using LMS (least mean square error) estimation of random signal with mean 0 variance 1, by adding Gaussian white noise