irbleigs

Plot gabor filters + Matlab(Plot gabor filters+ Matlab)

hysys and matlab link

自己编写的模拟退火的MATLAB程序，快捷高效。(I have written simulated annealing MATLAB program, fast and efficient)

Introduction to Evolutionary

Motion estimation algorithm - diamond search

开关磁阻电动机仿真，模糊pi控制，转矩电流双闭环(Switched reluctance motor simulation, fuzzy pi control, torque current double closed loop)

我找到的matlab的最新工具箱，能解决很多问题，由于内容很杂，有这方面需要的朋友不妨下载看看，仔细研究一下，或许有新的发现(I find the latest Matlab Toolbox can solve many problems, since the content is very complicated, and a need of a friend may wish to download look carefully, there may be a new discovery)

基于光滑l0范数和修正牛顿法的压缩感知重建算法，算法简单有效，具有较好的计算精度(Compressed sensing reconstruction algorithm of smooth l0 norm and correction based on Newton method)

AFSA_fx是用人工鱼群算法（artificial fish swarm algorithm）解决一元函数寻优问题。文件打开后运行AFSA_fx.m文件即可得到结果，代码中有详细注释，方便修改。运行示例已经保存为图片附在压缩包中。(AFSA_fx is (artificial fish swarm algorithm) function is used to solve a dollar AFSA optimization problem. Run AFSA_fx.m file to get the file to open the result, the code has detailed notes, easy to modify. Run the sample has been saved as a picture attached to the compressed package.)

In this paper, we investigate the timing and carrier frequency offset (CFO) synchronization problem in decode and forward cooperative systems operating over frequency selective channels. A training sequence which consists of one orthogonal frequency-division multiplexing (OFDM) block having a tile structure in the frequency domain is proposed to perform synchronization. Timing offsets are estimated using correlation-type algorithms. By inserting some null subcarriers in the proposed tile structure, we propose a computationally efficient subspace decomposition- based algorithm for CFO estimation. The issue of optimal tile length is studied both theoretically and through simulations. By judiciously designing the tile size of the pilot, the proposed algorithms are shown to have better performance, in terms of synchronization errors and bit error rate, than the time-division multiplexing-based training method and the computationally demanding space-alternating generalized expectation-maximization