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ML_detection_Matlab
关于MIMO-OFDM的信号检测方法,ML检测(Signal detection method for MIMO-OFDM, ML detection)
- 2018-04-16 14:23:57下载
- 积分:1
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基于QR分解的宽度优先球形译码width_first_K-Best
基于QR分解的宽度优先球形译码,即通常所说的K-best算法,适用于MIMO技术中的接收端信号检测。(Priority sphere decoding based on the width of the QR decomposition, commonly known as the K-best algorithm for the receiver signal detection in MIMO technology.)
- 2020-07-06 15:18:58下载
- 积分:1
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communication
说明: 基于SimuLink的数字通信链路仿真
包含QPSK及16QAM模式下的链路计算(Simulation of digital communication link based on Simulink
Including link calculation in QPSK and 16QAM mode)
- 2020-06-09 18:27:46下载
- 积分:1
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MODBUS_RTU
仪器仪表MODBUS RTU 协议,里面对每一帧含义进行了解释标识与举例。(Instrumentation MODBUS RTU protocol, in the face of each frame in meaning explained with an example
)
- 2013-11-29 08:29:51下载
- 积分:1
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PTS
simulating PAPR reduction with PTS method in STBC MIMO OFDM
- 2011-07-25 01:46:01下载
- 积分:1
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telescope-com
望远镜串口通讯程序,包括Meade望远镜通讯协议文档和三篇串口通讯论文(The telescopes serial communication program, including Meade Telescope communication protocol documentation and three serial communication papers)
- 2012-11-09 17:17:21下载
- 积分:1
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CS-Channel Estimation
说明: 压缩感知信道估计OMP算法,有仿真图比较,注释详细(Compressed Sensing Channel Estimation OMP Algorithms, Comparisons with Simulation Charts, Detailed Notes)
- 2021-03-27 13:19:12下载
- 积分:1
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woow1
HHT变换的核心是EMD,在此项过程中通过EMD的编程和HHT的编程来实现了希尔伯特黄变换,可以看出处理此方法用来处理非线(The core of HHT transform is that EMD, realizes Hilbert Huang transform through EMD programming and HHT programming in this process. It can be seen that this method is used to deal with non-linear.)
- 2019-03-26 13:01:14下载
- 积分:1
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ofdm-pts
ofdm papr降低pts技术(三种分割法源代码)(ofdm papr)
- 2021-02-28 17:29:35下载
- 积分:1
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ANFISCLUST_10SLOT
working of the fifth generation intelligent radio that is Cognitive Radio (CR) system which works on predictive data rate and propose ANFIS based learning scheme to introduce intelligence in it. The testing data set is taken from training set. Validation data set is unseen data. RMSE and prediction accuracy are used as performance index. Two gaussian membership functions are taken for each input. Error goal was set for .001.Training was for 300 epochs. It is seen prediction accuracy was 91 percentages in testing case and 89 in validation. RMSE difference between validation and testing case very small.
- 2011-11-29 23:02:21下载
- 积分:1