criptografia.3105

用matlab对模糊控制进行讲解，及其仿真的练习(Using matlab to explain to the fuzzy control, and simulation exercises)

A Survey on Cooperative Diversity for Wireless Networks

matlab入门教程 值得借鉴的一本参考书，可作为入门材料之一(Getting Started tutorial matlab draw worth a reference material can be used as one entry)

（7，4）系统循环码译码器 decode_out = cyclic_decoder(decode_in) 该系统循环码译码器的生成多项式是g(x) = x^3 + x + 1 输入参数decode_in是接收到的循环码字，是1×7的行向量；输出decode_out是解 码后的信息码字，是1×4的行向量。 函数运行时，同时画出接收循环码字和译出码字的波形图。 ( (7,4) system cycle Decoder decode_out = cyclic_decoder (decode_in) cyclic code decoder of the system generating polynomial is g (x) = x ^ 3+ x+ 1 input parameters decode_in is the received codeword cycle, the row is 1 × 7 vector output decode_out solution code is the information after the code word is 1 × 4 row vector. Function to run at the same time code word and draw a circle to receive the word of the translated code waveform.)

Mean shift clustering algorithm is trying to help us for data set points clustering.

波束域降阶Root-MUSIC算法,在子阵分解降阶的基础上,进一步将多项式的求根阶次降到与源数目相同,提出了求解降阶多项式的方法。该方法最大程度地减少了求根多项式的阶次和求解多项式的次数,并保持了Root-MUSIC算法的优良性能。显著降低运算量是其最大优点,仿真结果验证了降阶算法的有效性,并比较了不同阶次波束域Root-MUSIC算法的估计性能。 (Beamspace Reduced Order Root-MUSIC algorithm, based on the reduced-order sub-array decomposition further order of the polynomial rooting down with the same number of sources, proposed to solve the reduced-order polynomial method. This method minimizes the number of polynomial order and solving polynomial rooting and maintain the excellent performance of Root-MUSIC algorithm. Significantly reduce the amount of computation is its biggest advantage, simulation results show the effectiveness of the reduced-order algorithm, and compare the performance of different estimates of the order beamspace Root-MUSIC algorithm.)

a book base on matlab,provides scrutable technique for implementing and maker your concept more strong

CDMA4用户仿真 现代通信系统 matlab(CDMA4 users of modern communication systems simulation)

Principal component analysis,for study about classification data,develop for svm , lvq etc

this is a zip file contain matlab file of uncertainty modeling and identification of a RTAC case study system and in next step control of this system with h2/hinf algorithm.