iterated-local-search

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

陆吾生有关凸优化视频教程中的相应的子函数，包括牛顿法等(convex optimization)

对SLAM算法中的EKF-SLAM算法进行改进，并实现仿真程序，与EKF-SLAM V1相比，此算法更快捷，并具有很好的定位结果(Of the SLAM algorithm EKF-SLAM algorithm is improved, and implemented simulation program, compared with the EKF-SLAM V1, this algorithm is more efficient and have good positioning results)

频率计算的matlab程序 (RESPONSE CACULATE)

code for wsn The statements below guide us to write the code for the transmission of sensed data to a sink node using cognitive radios in multiple spectrum bands. In doing this we are trying to find the most appropriate modulation scheme using MATLAB simulation.

一个非常实用且能进行模糊综合评判的matlab程序(A very practical and can be fuzzy comprehensive evaluation of the matlab program)

This file is a real seismic data in segy format.

Let X1,X2,...X10 be independent uniformly distributed Random vari- ables over [0 1] andY = X1 + X2 +.....+ X10.Generate the PDF and pdf of Y(Let X1,X2,...X10 be independent uniformly distributed Random vari- ables over [0 1] andY = X1+ X2+.....+ X10.Generate the PDF and pdf of Y)

Efficient Face Detection

本代码实现了通过模糊控制进行倒车的例子，可以完美运行，是智能控制方面学习的好资料。(The code examples performed by reversing the fuzzy control, can perfectly run, is good information intelligent control aspects of learning.)