ask_psk_fsk_dpsk

LLL格基规约的matlab算法程序，能够实现向量的格基规约(matlab code for LLL lattice reduction)

matlab下的LDPC仿真,高斯信道，调制方式为QPSK(A simulation of LDPC on matlab)

实现了LDPC码的编码 LDPC译码、LDPC校验矩阵的生成等。是完整的LDPC代码。测试了，跑的通。自学LDPC码的资料(Implements the LDPC encoding of LDPC decoding, LDPC check matrix generation and so on. LDPC code is complete. Tested and run through. Self-study of LDPC codes)

说明：  OFDM信道估计的主要程序，算法研究等。(OFDM channel estimation algorithm for the main program, etc.)

说明：  迭代信道估计，ls信道估计方式 MMSE均衡 迭代了四次(4times iterative channel estimation with LS and MMSE)

车载设备写码说明 关于现在的CDMA改ENS码的资料~真的很有用的呀！你可以自己解决这个问题！(On-board equipment to write code on the current CDMA to ENS code data ~ really useful ah! You can solve this by yourself!)

频率选择性衰落信道的建模与仿真，具体实施方法(Frequency selective fading channel modeling and simulation modi, concrete implementation methods)

Computes BER v EbNo curve for convolutional encoding / soft decision Viterbi decoding scheme assuming BPSK. Brute force Monte Carlo approach is unsatisfactory (takes too long) to find the BER curve. The computation uses a quasi-analytic (QA) technique that relies on the estimation (approximate one) of the information-bits Weight Enumerating Function (WEF) using A simulation of the convolutional encoder. Once the WEF is estimated, the analytic formula for the BER is used.(Computes BER v EbNo curve for convolutional encoding/soft decision Viterbi decoding scheme assuming BPSK. Brute force Monte Carlo approach is unsatisfactory (takes too long) to find the BER curve.The computation uses a quasi-analytic (QA) technique that relies on theestimation (approximate one) of the information-bits Weight Enumerating Function (WEF) usingA simulation of the convolutional encoder. Once the WEF is estimated, the analytic formula for the BER is used.)

基于卷积编码的BPSK、OQPSK调制通信系统的仿真设计，较为简单(OQPSK Modulation Communication System Based on Convolutional Coding)

美国海军开发的雷达传输损耗预测、计算软件AREPS的说明(The Space and Naval Warfare System Center, San Diego has a full spectrum research and development program with a long and proud history of rapidly responding to critical fleet requirements and deploying systems to address these requirements. One such system is the new Advanced Refractive Effects Prediction System (AREPS).)