jxtiq

MIMO-OFDM系统基于MMSE的信道估计算法，为了解MIMO-OFDM信道估计问题的提供一些入门帮助。(MMSE-based MIMO-OFDM system channel estimation algorithm for MIMO-OFDM understand the problem of channel estimation to provide some help getting started.)

通过非线性模型UNGM比较mlp与ekf算法的性能(Comparison mlp by non-linear model UNGM performance of the algorithm with the ekf)

高斯信道下采用RS 卷积码，译码时采用软硬两种判决方法对误码率进行仿真，利用simulink搭建模块，在利用m文件编程调用产生最终结果。(The paper use the RS code in AWGN.And two different of demodem way are used in it.)

小波神经网络的PPT，包括很多实用性的东西(Wavelet Neural Networks PPT, including a lot of practical things)

元胞自动机，基于元胞自动机的交通流模型研究(Cellular automata model of traffic flow based on cellular automata)

subspace method for blind channel estimation Copyright: Xiaohua(Edward) Li, Assistant Professor Department of Electrical and Computer Engineering State University of New York at Binghamton http://ucesp.ws.binghamton.edu/~xli June 2003

共轭梯度法是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。(Conjugate gradient method is between the steepest descent method and Newton method between a method that only use the first derivative information, but the steepest descent method to overcome the disadvantage of slow convergence, but also avoids the need to store and calculate Newton Hesse matrix and the shortcomings of the inverse, conjugate gradient method is not only linear equations to solve large-scale one of the most useful, large-scale nonlinear optimization solution is also the most efficient algorithms.)

该文件含有高斯信号产生的完整代码，用matlab编写的，并含有详细的注释,另外还有两个小波基的使用的详细注解(This file contains the complete code for the Gaussian signal is generated, using matlab, and contains detailed notes, in addition to the use of two small Porgy detailed comments)

svr for prediction and forecasting

SINE PWM FINAL SIMULATION