work

Cell Center users Interference calculation

本文先简要介绍了矩阵的积分和微分的定义；接着通过弹簧-质量块儿-阻尼器系统的例子，阐述了求解常微分方程数值解的常用方法；最后，在前两部分的基础上，总结了用MATLAB求解形如_X(t) = f(X(t); t) 矩阵微分方程数值解的方法。(In this paper, the definition of integral and differential of matrix is briefly introduced. Then the common method of solving numerical solution of ordinary differential equation is described by the example of spring mass block damper system. Finally, on the basis of the first two parts, the solution of the form of _X is summed up by MATLAB. (T) = f (X (T); t) numerical solution of matrix differential equations.)

OFDM的simulink仿真，希望对筒子们有帮助(OFDM-simulink simulation, and they hope to have the cheese to help)

TS-Fuzzy Model模糊系统论文pdf文件以及Matlab code源码，对学习很有帮助。(paper: "Compact TS-Fuzzy Models through Clustering and OLS plus FIS Model Reduction" and Matlab code.)

Matlab based CNN Tutorials of LANET 5 based algorithm for handwritten corrector identification

lle降维，可以参考非线性降维的方法，感觉没lda好用，比pca还行(LLE dimension reduction)

模拟退火算法求解优化问题，实例非常好，推荐下载(Simulated annealing algorithm to solve the optimization problem, the example is very good, recommended download)

针对强噪声背景中弱信号检测问题，在传统检测方法基础上，提出了基于联合去噪和频率调制的微弱信号检测方法。搭建自相关和小波阈值变换联合去噪系统，极大程度抑制了噪声对检测结果的不利影响。利用频率可调标准信号调制待测信号频率，使得被测信号与检测系统策动力信号的频率差满足检测条件，打破了利用Ｄｕｆｆｉｎｇ 振子检测系统只能检测与系统策动力频率相近信号的限制。(In order to solve the problem of weak signal detection in strong noise background, based on traditional detection methods, puts forward the method of weak signal detection and denoising based on frequency modulation. The self correlation and wavelet threshold transform combined de-noising system can greatly restrain the adverse effect of noise on the detection results. Use adjustable standard signal modulation signal frequency to be measured frequency, the signal detection system and the driving signal frequency difference meet the test conditions, the system can only break detection signal detection and system driving the similar frequency limit by using Duffing oscillator.)

constrained evidential c means

rs encoder in matlab 7,3