ACCIDENT-INITMATION-SYSTEM

里面有大量的Matlab的应用实例，可以给大家的学习带来帮助，它不仅适合初学者而且也可以提高大家的Matlab编程能力。(Which a large number of Matlab application example, can help to bring everyone to learn, not only for beginners but also can improve our ability to Matlab programming.)

说明：  Matlab初学者的好东东 里面包括了一些编程常用的范例(Matlab beginners Wanton good inside including some of the common programming paradigm)

adaptive mmse space-time multiuser detection algorithm.m是自适应MMSE空时多用户检测算法 dec multiuser.m是空时解相关多用户检测算法 cd multiuser.m是空时匹配滤波器 ber.m是误码率计算 conver.m是空时PN码产生文件(adaptive space-time multiuser detec tion is algorithm.m MMSE space-time adaptive multi-user detection algorithm dec multi user.m solution when space is multi-user detection algorithm cd multiuser.m was empty when matched filter ber.m error rate is calculated conver.m was empty at the PN code generated)

条带SAR条件下，对目标进行波数域的成像(For the Strip SAR ,the imaging algorithm undre the wave-number domain )

GUI Matlab from calculate a chain code, skeleton, area ,perimeter.

卡尔曼滤波应用 通过卡尔曼滤波跟踪移动中的目标(Kalman filtering applications through the Kalman filter tracking moving target)

圆阵波束成形 实现了均匀圆阵的波速成形和波速增益(Circle Array Beamform)

说明：  基于改进粒子群算法的节能调度下多目标负荷最优分配基于改进粒子群算法的节能调度下多目标负荷最优分配(Particle swarm optimization based on improved energy-saving scheduling optimal allocation under the multi-objective particle swarm optimization based on improved energy-efficient multi-objective scheduling optimal allocation under)

matlab并行计算 很好很系统的讲诉并行计算在matlab是如何操作的(matlab parallel computing good system v. matlab parallel computing is how to operate)

说明：  本书从MATLAB仿真的角度出发，系统地介绍了系统辨识与自适应控制的基本理论和方法。本书共6章，主要内容为：绪论、系统辨识、模型参考自适应控制、自校正控制（包括广义预测控制）、基于常规控制策略的自校正控制和非线性系统辨识与控制（包括神经网络和模糊控制）。书中每种算法都配有仿真实例、仿真程序、仿真结果以及对仿真结果的简要分析，以便于读者深入理解和运用基本理论和算法(From the perspective of MATLAB simulation, this book systematically introduces the basic theories and methods of system identification and adaptive control. This book has 6 chapters, the main contents are: introduction, system identification, model reference adaptive control, self-tuning control (including generalized predictive control), self-tuning control based on conventional control strategies, and identification and control of nonlinear systems (including neural network) And fuzzy control). Each algorithm in the book is equipped with simulation examples, simulation programs, simulation results, and a brief analysis of the simulation results, so that readers can deeply understand and use basic theories and algorithms.)