基于Matlab的网格划分程序

该书提供了详实的结合，尤为重要的是结合实例(matlab explore)

Matlab动态仿真在混沌控制与同步中的应用研究 摘 要:针对在分析非线性系统混沌行为时较为复杂这一问题,采用一般的数值计算方法,提出了利用Mat2 lab对混沌系统进行建模和动态仿真的方法.以蔡电路和洛伦兹系统为例,分析了其动态仿真在混沌控制与 同步中的应用(Dynamic simulation in Matlab Chaos Control and Synchronization of the Applied Research Abstract: In view of the analysis of chaotic behavior of nonlinear systems when the more complex the problem, using a general numerical method is proposed for chaotic systems using Mat2lab modeling and dynamic simulation method. to Cai circuit and Lorenz system as an example, an analysis of the dynamic simulation in the Chaos Control and Synchronization Application)

基于Matlab/Simulink的异步电动机转差频率矢量控制系统仿真研究，十分有用，已通过测试(Based on Matlab/Simulink of the induction motor slip frequency vector control system simulation, very useful, has been tested)

SIFT算法Lowe英文原文，以及相应源码解释，适合初学者阅读(failed to translate)

在对能量收集传感网中的压缩感知技术的学习研究过程中，探讨了满足RIP下，所需的测量数m；允许MSE下，可实现的系统延迟；利用LDT，分析SNR不均匀性对k限制特征值的影响。(For energy harvesting sensor networks in the compressed sensing technology learning research, discusses meet the RIP, the required number of measurements m allow MSE, the delay can be implemented system the use of LDT, analysis SNR heterogeneity on k limit the impact of eigenvalues.)

说明：  LQR最优控制，可以应用于基于磁流变阻尼器汽车悬架等半主动控制(LQR optimal control can be applied to semi-active control of vehicle suspension based on MR damper.)

说明：  5：空间平滑MUSIC算法的MATLAB程序 6：角度和时延联合估计（JADE）算法MATLAB程序 7：传播算子DOA估计算法MATLAB程序 8：基于增广矩阵束的L型阵列的二维DOA估计MATLAB程序(5: MATLAB program of spatial smoothing MUSIC algorithm 6: Joint Angle and Time Delay Estimation (JADE) Algorithms MATLAB Program 7: MATLAB Program for DOA Estimation Algorithms of Propagator 8: MATLAB Program for 2-D DOA Estimation of L-Array Based on Augmented Matrix Beam)

  基于特征匹配的英文印刷字体识别算法包含了算法的说明和.M源文件

接收端对有干扰污染后的信号进行对应解码，并计算误码率； 将输出仍然排列为n列的矩阵，计算监督矩阵H，用编码矩阵和监督矩阵相乘判断是否有误码，并根据错误图案纠正误码(The receiving end of pollution have interference signals corresponding to decoding, and calculate the bit error rate the output is still ranked as the n column matrix, computing the supervision matrix H, with matrix encoding and monitoring to determine whether matrices have error, and in accordance with error patterns to correct error)

LSVMK Langrangian Support Vector Machine algorithm LSVMK solves a support vector machine problem using an iterative algorithm inspired by an augmented Lagrangian formulation.