shiyan

这篇文章是盲信号处理，因为是英文文章，所以大家看内容就好了。(Principal component analysis (PCA) is a mainstay of modern data analysis- a black box that is widely used but poorly understood. The goal of this paper is to dispel the magic behind this black box. This tutorial focuses on building a solid intuition for how and why principal component analysis works furthermore, it crystallizes this knowledge by deriving from simple intuitions, the mathematics behind PCA . This tutorial does not shy away from explaining the ideas informally, nor does it shy away from the mathematics. The hope is that by addressing both aspects, readers of all levels will be able to gain a better understanding of PCA as well as the when, the how and the why of applying this technique.)

说明：  一个数如果恰好等于它的因子之和，这个数就称为“完数”。例如6=1＋2＋3.编程 　　　 找出1000以内的所有完数。 (If a number is just equal to the sum of its factors, this number is called &quot End of a few.&quot For example 6 = 1+2+3. Programmatically find all finished within a number of 1000.)

This the free version of my Basis of AI Backprop designed to accompany my not yet published textbook, _The Basis of AI_. This program contains enough features for students in an ordinary AI or Neural Networking course. It includes the quickprop and delta-bar-delta algorithms for faster training and a fast integer version for machines without floating point hardware. This particular package includes C source for DOS and UNIX, examples, an ASCII manual and a number of DOS binaries. The binaries are for systems with floating point hardware (bp.exe), one for systems without floating point hardware (bp486sx.exe) and an integer version binary (ibp486sx.exe) for systems without floating point hardware.

高斯白噪声瑞利信道的分析，通过眼图来分析信道的衰落(Gaussian white noise channel Rayleigh's analysis, through eye diagram to analyze the decline of channel)

说明：  C程序利用Mathematica通讯机制Mathlink调用Mathkenerl的一个类.(C program using Mathematica communication mechanism Mathlink call Mathkenerl of a class.)

文字转换，可用于繁体字和简体字之间的转换()

基于矩阵笔方法的稀疏阵列综合，是一篇引用率很好的文章(matrix pencil)

VC++与MATLAB混合编程及其应用 摘 要 本文详述了在VC++6.0编译环境下如何利用Matlab来实现应用系统的设计和分析，介绍了通过Matlab与VC应用程序连接的常用方法，分析了VC与Matlab的混合编程的步骤，最后通过一个具体实例的实现过程对上述方法进行了应用性介绍。 ()

classification and regression tree algorithm 算法c++实现(classification and regression tree algorithm vc++)

说明：   ( )