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[Communicationsttc

Description: 在ofdm系统中空时格状码编译码方式,与ofdm结合性能的比较-in OFDM systems hollow when trellis coding - decoding methods, combined with OFDM Performance Comparison
Platform: | Size: 2184 | Author: foeni | Hits:

[OtherLDPC

Description: 用于LDPC编码译码的仿真实现。包括随机生成校验矩阵、由校验矩阵产生生成矩阵、编码、加随机噪声、译码等内容。原作者是老外,有部分中文注释。-LDPC coding for decoding Simulation. Check including random matrix generated by the calibration matrix generated generator matrix, coding, plus random noise, such as decoding. The original author is a foreigner, some Chinese Notes.
Platform: | Size: 58368 | Author: 别志松 | Hits:

[Communicationsttc

Description: 在ofdm系统中空时格状码编译码方式,与ofdm结合性能的比较-in OFDM systems hollow when trellis coding- decoding methods, combined with OFDM Performance Comparison
Platform: | Size: 2048 | Author: foeni | Hits:

[Communication-Mobilestbc

Description: 一个2*1的MIMO系统,采用BPSK调制,空时分组码STTC编码,即ALIMOUTI编码方法。接收端相应解码,挺简单,仿真结果很好。-A 2* 1 of MIMO systems using BPSK modulation, space-time block codes STTC encoding, that is, coding method ALIMOUTI. The corresponding receiver decoding, very simple, very good simulation results.
Platform: | Size: 1024 | Author: 李静 | Hits:

[OtherSTTC_2Tx2Rx_v2_TSC

Description: 实现STTC在2发射天线2接收天线,采用TSC网格结构,瑞利衰落信道的编译码算法,包括主函数部分-2 transmit antennas to achieve STTC 2 receiving antennas, with TSC grid structure, Rayleigh fading channel encoding and decoding algorithms, including some of the main functions
Platform: | Size: 173056 | Author: 曾韬 | Hits:

[matlabOFDM_basic

Description: 多输人多输出(MIMO)技术是第三代和未来移动通信与个人通信系统实现高数据速率,提高传输质量 的重要途径[1 ]。目前MIMO系统中使用的发射方案主要包括:①贝尔分层空时结构BI STA(Bell Layered Space Time Architecture)[。 ;②正交空时分组码OSTBC(Orthogonal Space Time Block Coding) ;⑧空时 格型编码STTC(Space Time Trellis Coding) 。-Motivated by the need for high throughput sphere decoding formultipleinput- multiple-output (MIMO) communication systems, we propose a parallel depth-first sphere decoding (PDSD) algorithm that provides the advantages of both parallel processing and rapid search space reduction. The PDSD algorithm is designed for efficient implementation on programmable multi-processor platforms. We investigate the trade-off between the throughput and computation overhead when the number of processing elements is 2, 4 and 8, for a 4× 4 16-QAM system across a wide range of SNR conditions. Through simulation, we show that PDSD can offer significant throughput improvement without incurring substantial computation overhead by selecting the appropriate number of processing elements according to specific SNR conditions.
Platform: | Size: 2048 | Author: 田航 | Hits:

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