资源列表
pca.m
- 本程序的运行环境为matlab6.5，在command window下输入数据x和a，然后调用函数pca（x，a）（即本程序的主程序）输入的两个参数的意义是：一个是样本数据x，另外一个是主成分累积贡献率的一个闸值，作为选定主成分个数的一个重要数据。 即可得到样本的协方差矩阵，相关矩阵，相关矩阵的特征根及特征向量，主成分个数和主成分负荷矩阵。 -the procedures for the environment matlab6.5. under the command window i
PCA-matlab
- 此程序为用于主成分分析的matlab程序，可以输出贡献率及画出二维散点图-this procedure for the Principal Component Analysis Matlab procedures can export contribution rate and the two-dimensional plot paint
gmskrls
- 一种用于ＧＭＳＫ非线性调制的自适应均衡算法 ，包阔有算法的文档资料-a nonlinear GMSK modulation for the adaptive equalization algorithm, the width of a packet algorithm Documentation
gmsk_diff
- 此程序为ＧＭＳＫ的调制解调程序，调制采用查表法，解调采用两比特差分解调，简单实用-procedure for the GMSK modulation and demodulation process, modulation using look-up table method, demodulation using two-bit differential demodulation, simple and practical
DQPSK
- 此代码为pi/4-dqpsk的调制解调算法，用MATLAB实现，采用插分解调，简单实用-pi/4-dqpsk this code for the modulation and demodulation algorithm in MATLAB, transfer took decomposition, simple and practical
Hanoissf
- 汉诺(hanoi)问题采用递归算法解决，并编制了手动及演示界面-Hanne (Hanoi) problem using recursive algorithm, and prepared a manual and demonstrate interface
proot
- 求原跟的VC程序,可计算2-10000之间的质数的原跟-original request with the VC process, translate between 2-10000 the quality of the original with a few
randomnumber
- 关于产生均匀分布和标准正态分布的随机变量的VC程序-on the production and distribution of uniform standard normal distribution of random variables VC Program
guassdisti
- 对模糊变量进行随机化，并用高斯分布进行概率求解，无密码-pair of fuzzy random variables, and using Gaussian probability distribution solution without passwords
BMP_DCT_IDCT
- 本源码是用VC++6.0实现的，显示了BMP位图，并实现了快速的8*8的块的DCT和IDCT变换-the source of VC 6.0, showing a bitmap BMP, and achieve a rapid 8 * 8 block of DCT and IDCT transform
Grab
- 采用zlib标准的压缩源码，应用在Windows和Linux多平台下，分别有Linux下和Windows下VC的使用实例。-using zlib compression standard source code, used in Windows and Linux multi-platform, respectively Linux and Windows examples of the use of VC.
music_3_26
- 信号DOA的估计算法,学习空间谱估计的同学可以参考-the signal DOA estimation algorithm, learning spatial spectrum estimation can refer students