MLP-Error-Back-propagation-Learning---Copy

关于ofdm的详细仿真程序，细节详细，有很强的实用性(Ofdm simulation on the detailed procedures, details of the detail, has a strong practical)

相控阵波束形成仿真程序，该程序使用最大噪声的方法对加权函数进行优化(Phased array beam forming simulation program, the program uses the method of maximum noise weighting function to optimize)

matlab语言。多导体传输线之间耦合的问题！实习时编写。(matlab language. Coupling between the multi-conductor transmission line problem! When writing internship.)

Neural Network using a Generalized Linear Model

This routine performes trellis quanization of input sequence and provides output which should be further arithmetically coded. The program can be used for research ot teaching purposes to study performance of vector quantization, in particlular code-based trellis (multidimensional lattice) quantization.

本程序仿真了AWGN信道下，采用DS扩频对bpsk信号的影响，扩频码采用walsh码，扩频因子16； 接收端进行rake接收，然后分集合并，比较了三种分集方式对误码率的影响 从图像可以看出在扩频因子较高的情况下，最大比值合并与等增益合并性能相近(This program simulates the AWGN channel, using DS spread spectrum signal for bpsk influence spreading code using walsh code spreading factor 16 Rake receiver receiving end, and diversity combining, diversity compares three methods on the bit error rate of As can be seen from the image in the case of higher spreading factor, the maximum ratio combining and equal gain combining similar performance)

LMS自适应滤波算法实现信道均衡，估计逆系统(LMS adaptive channel equalization filter algorithm, it is estimated inverse system)

这个代码是用来实现特征滤波器的，该滤波器基于最小二乘法，可以实现低通高通带通带阻带通等功能。(This program is to realize an Eigenfilter,which is based on total least squares.)

利用Peng-Robinson方程计算纯质R32p—T相图(Peng-Robinson equation using pure R32p-T phase diagram)

说明：  本文研究了有限反馈下基于博弈论的联合功率分配与反馈速率控制优化问题。通过建立新的博弈模型，证明了其纳什均衡的存在性。同时，根据功率与反馈速率的关系，提出了一种迭代算法，可快速收敛到博弈不动点。仿真结果表明，联合优化算法的性能优于单单考虑反馈速率的算法。(In this paper, under the limited feedback joint power allocation based on game theory and feedback rate control optimization problems. Through the establishment of a new game model proved its existence of Nash equilibrium. Meanwhile, according to the relationship between power and the feedback rate proposed an iterative algorithm can quickly converge to a fixed point game. Simulation results show that the performance of joint optimization algorithm is superior to just consider the feedback rate of the algorithm.)