rtwtipsandscripts

基于1范数的稀疏信号反卷积算法的程序代码，语音信号、迭代算法(The sparse signal deconvolution algorithm based on 1 norm of program code, speech signal, an iterative algorithm)

Program for Face Recognition (with example ORL Data base) used PCA. It showed all process data reduction, classification end visualisation

A GUI matlab model for getting the ionex value

The recent development of a meshless method by using radial basis functions will be reported in this talk. Application to both multivariate interpolation and solving partial differential equations have demonstrated the spectral convergence of the method for some particular radial basis functions like multi quadric. This talk will also discuss some of the recent proposed techniques for solving the ill-conditioning problem resulted from solving the full resultant matrix.

粒子滤波的经典例程，MATLAB环境。好好理解其思想，对于其它环境下粒子滤波程序的编写也是很有好处的！(paticle filter!quite classical codes!)

偏最小二乘法偏最小二乘法偏最小二乘法偏最小二乘法偏最小二乘法偏最小二乘法偏最小二乘法偏最小二乘法偏最小二乘法偏最小二乘法偏最小二乘法(PLS)

数字广播系统中前向纠错编码器的MATLAB实现(Digital broadcasting systems FEC encoder MATLAB Implementation)

一些关于遗传算法的期刊文献，这些文献介绍了遗传算法的计算方法(The genetic algorithm journals, the literature describes the calculation method of the genetic algorithm)

Channel estimation techniques for OFDM systems based on a pilot arrangement are investigated. Channel estimation based on a comb type pilot arrangement is studied through different algorithms for both estimating the channel at pilot frequencies and interpolating the channel. Channel estimation at pilot frequencies is based on LS and LMS methods while channel interpolation is done using linear interpolation, second order interpolation, low-pass interpolation, spline cubic interpolation, and time domain interpolation. Time-domain interpolation is obtained by passing to the time domain by means of IDFT (inverse discrete Fourier transform), zero padding and going back to the frequency domain by DFT (discrete Fourier transform). In addition, channel estimation based on a block type pilot arrangement is performed by sending pilots in every sub-channel and using this estimation for a

Generalization ability of extreme learning machine with uniformly ergodic Markov chains