RS_code_OFDM_modulation

Butterworth filter design for digital signal processing

本科论文，有限元法求解对流扩散方程。文后有附带的程序，适合入门使用！可以对照文章内容，学习程序!(A paper for FEM.)

线性调频信号的时域 频域 模糊度函数的设计(The design of the chirp signal time domain frequency domain ambiguity function)

基于压缩感知的MASSIVE MIMO信道估计，采用OMP算法解决稀疏信道估计问题。MASSIVE MIMO多小区多用户模型，合成稀疏信道（有效解决导频污染）。(Based on compressed sensing for MASSIVE MIMO channel estimation, OMP algorithm is used to solve the sparse channel estimation problem. MASSIVE MIMO multi cell and multi-user model, to synthesize sparse channel (effectively solve pilot pollution).)

Test for DatagramChannel Source Code for Andriod.

dynamips的实际使用方法，很全面喔(the dynamips actual use, very comprehensive!)

针对MIMO-OFDM系统中期望最大化(EM)信道估计算法在高信噪比(SNR)下带来的误差地板(EF)现象,且OFDM符号的数据传输效率随发射天线数的增加而明显降低,提出一种改进的高效EM信道估计算法。该算法首先引入一种准确的等效信号模型并推导出一种修正的EM算法,改善了EM算法在高SNR下的性能 在多个OFDM间利用相位正交导频序列来提高数据传输效率,同时进行联合信道估计以提高估计性能。仿真实验验证了所提算法具有更高的信道估计性能和更高的数据传输效率。(For multiple-input multiple-output with orthogonal frequency division multiplexing(MIMO-OFDM) systems,the error floor(EF) phenomenon at high signal noise rate(SNR) was induced by the expectation maximum(EM) channel estimation algorithm.In addition,the data transmission efficiency was declined obviously with the increasing number of transmit antennas.According to these problems,an improved and efficient EM channel estimation algorithm was pro-posed.Firstly,an accurate and equivalent signal model was introduc...)

说明：  对于新手调试入手很快,通过32单片进行通信控制,对于蓝牙运用极大帮助。(For beginners, debugging is very fast, and communication control is carried out through 32 single chip.)

实现信号处理中QAM调制、过信道、解调部分。其中QAM调制部分可改符号点数，M阶数，信道加高斯白噪声、时延、多径，调制解调均有星座图。通过本代码，可学习QAM调制解调，或者通信系统的知识。(To achieve QAM modulation, signal processing over channel, a demodulation section. QAM modulation section can be changed symbolic points M order channel additive white Gaussian noise, delay, multipath, the modem has constellation diagram. QAM modulation and demodulation, or communication system knowledge through this code, you can learn.)

Analysis and Simulation Model of Physical Carrier Sensing in IEEE 802.11 Mesh Networks