rayleigh&MIMO

Adaptive Radio Resource Management for GSM using Neural Networks and Genetic Algorithms Ken Murray and Dirk Pesch Adaptive Wireless Systems Group

输入学生的name,number,class等内容(importation students name, number, class, etc.)

There ULA CRB curve, Least-squares regression analysis algorithm, Transceiver contains two client programs.

说明：  简单实现基于各种加权分数傅里叶变换的混合载波系统(Simple implementation of hybrid carrier system based on various weighted fractional Fourier transform)

In this paper, we present and analyze efficient frame synchronization and frequency offset compensation scheme with ternary sequences for an orthogonal frequency division multiplexing (OFDM) system in Rayleigh fading channels. Frame synchronization is an essential procedure for normal operation of the OFDM system because of sensitivity to synchronization errors. And when there are frequency offsets in OFDM frame, the loss of orthogonality occurs and the interference problem among several subcarriers is introduced. These fact leads to the requirement for joint implementation of the frame synchronization and frequency offset compensation.

Final Project Proposal: Design Smart Parking System Based on WSN Using Delay Efficient Distributed Data Aggregation Algorithm

说明：  通信系统中的simulink仿真，不同信道的误码率性能以及数字通信中的自适应均衡，语音压缩技术中的线性预测编码，RLS干扰抑制等(Simulink simulation in communication system, bit error rate performance of different channels and adaptive equalization in digital communication, linear predictive coding in speech compression technology, RLS interference suppression, etc)

本程序主要是有关循环平稳特性的 是关于QPSK信号降阶处理 并利用BPSK信号进行相关的参数估计问题的 有详细的循环平稳特性的程序 及不同的平方降阶方法(This procedure is mainly reduced order processing QPSK signal and BPSK signals related to the parameter estimation problem detailed cyclostationary features program and the square of reduced-order cyclostationary characteristics)

DFTS--OFDM 仿真程序 包括详细的PAPR仿真 均可运行 (DFTS- OFDM simulation program should include a detailed simulation of the PAPR can be run)

APDL 培训资料，很好的学习ansys的资料(APDL training materials, information on good learning ansys)