MathTools_FAQ

将发送滤波器和接受滤波器联合设计为无码间干扰的基带系统，而且具有最佳的抗加性高斯白噪声的性能。(Filter and receive filter will be sent free of joint design of the baseband inter-symbol interference in the system, and has the best resistance to the additive white Gaussian noise performance.)

说明：  很好的扩张滤波算法 精度高 时间短 适合导航运算(The expansion of good short time filtering algorithm for high precision navigation operations)

4_Assosiation MSAP + onduleure 3 nivaux a stru NPC simulation + resultat

粒子群算法,自己编的一个程序，可以实现，运行main函数(Particle Swarm Optimization)

a detilled model and simulation of the double star induction machine

The Kalman filter is a mathematical power tool that is playing an increasingly important role in computer graphics as we include sensing of the real world in our systems. The good news is you don’t have to be a mathematical genius to understand and effectively use Kalman filters. This tutorial is designed to provide developers of graphical systems with a basic understanding of this important mathematical tool.

说明：  这是一个相对完整的OFDM通信系统的仿真设计，包括编码，调制，IFFT，上下变频，高斯信道建模，FFT，PAPR抑制，各种同步，解调和解码等模块，并统括系统性能的仿真验证了系统设计的可靠性。(This is a relatively complete simulation of OFDM communication system design, including coding, modulation, IFFT, and down conversion, Gaussian channel model, FFT, PAPR suppression, various synchronization, demodulation and decoding module, and system performance omnibus simulation of the system reliability.)

学习凸优化的实现方法以及凸优化工具包的内容(Learning the content of convex optimization methods and convex optimization toolkit)

BER versus SNR performance for wireless communications

卡尔曼滤波的GUI编程Kalman filter GUI programming (Kalman filter GUI programming )