Description: matlab下的simulink下实现16QAM调制解调,采用随机信号发生器,包括成形滤波和匹配滤波及信号星座图还原-simulink of matlab under the 16QAM modulation and demodulation implementation, using a random signal generator, including the shaping filter and matched filter and the signal constellation diagram Restore Platform: |
Size: 5120 |
Author:yanli |
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Description: 16QAM的matlab实现,以及计算机仿真,观察其波形,功率谱,误码率以及星座图-16QAM to achieve the matlab, as well as computer simulation, to observe the waveform, power spectrum, BER, and constellation diagram Platform: |
Size: 2048 |
Author:zhangwei |
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Description: 很实用的一个OFDM仿真程序,OFDM采用BPSK、QPSK、16QAM、64QAM4种调制方式。按照星座图,将每个子信道上的数据,映射到星座图点的复数表示,转换为同相Ich和正交分量Qch。-A very practical OFDM simulation program, OFDM the BPSK, QPSK, 16 qam, 64 qam4 kind of modulation method. According to the constellation diagram, each will be the data on the channel, the plural of constellation is mapped to a point, said into in-phase Ich and quadrature Qch.
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Size: 296960 |
Author:sintancn |
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Description: 完成一个利用矩形信号星座图的M=16的QAM通信系统monte carlo仿真。-Carlo simulation of QAM communication system Monte complete a use of the rectangular signal constellation diagram of M=16. Platform: |
Size: 1024 |
Author:刘艾 |
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Description: 该程序基本涵盖了OFDM-16QAM系统传输的全过程,除了调制解调外,有添加循环前缀,加窗的过程。生成图像有各个阶段的时域、频域图,以及发射前后的星座图。-This basically covers the whole process of OFDM transmission- 16 qam system, in addition to the modem, have add cyclic prefix, plus the window procedure. Generate the image at various stages of time domain and frequency domain graph, and before and after the launch of the constellation diagram. Platform: |
Size: 5120 |
Author:刘晨 |
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Description: 数字通信中有许多调制方式,16QAM是常用的一种,它是幅度和相位联合键控。QAM调制包括了16QAM、32QAM、64QAM、56QAM等,这段代码仿真了16QAM的星座图,误码率和误比特率,显示了它们之间的联系,对于学习QAM调制的性能分析有用。-This code simulation 16 qam constellation diagram, bit error rate and bit error rate, and shows the links between them, Platform: |
Size: 2048 |
Author:卢松品 |
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Description: Introduction
This section builds an example step-by-step to give you a first look at the Communications System Toolbox™ software. This section also shows how Communications System Toolbox functionalities build upon the computational and visualization tools in the underlying MATLAB® environment.
Modulate a Random Signal
This example shows how to process a binary data stream using a communication system that consists of a baseband modulator, channel, and demodulator. The system s bit error rate (BER) is computed and the transmitted and received signals are displayed in a constellation diagram.
The following table summarizes the basic operations used, along with relevant Communications System Toolbox and MATLAB functions. The example uses baseband 16-QAM (quadrature amplitude modulation) as the modulation scheme and AWGN (additive white Gaussian noise) as the channel model.-Introduction
This section builds an example step-by-step to give you a first look at the Communications System Toolbox™ software. This section also shows how Communications System Toolbox functionalities build upon the computational and visualization tools in the underlying MATLAB® environment.
Modulate a Random Signal
This example shows how to process a binary data stream using a communication system that consists of a baseband modulator, channel, and demodulator. The system s bit error rate (BER) is computed and the transmitted and received signals are displayed in a constellation diagram.
The following table summarizes the basic operations used, along with relevant Communications System Toolbox and MATLAB functions. The example uses baseband 16-QAM (quadrature amplitude modulation) as the modulation scheme and AWGN (additive white Gaussian noise) as the channel model. Platform: |
Size: 1024 |
Author:Thanh CRuise |
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Description: Introduction
This section builds an example step-by-step to give you a first look at the Communications System Toolbox™ software. This section also shows how Communications System Toolbox functionalities build upon the computational and visualization tools in the underlying MATLAB® environment.
Modulate a Random Signal
This example shows how to process a binary data stream using a communication system that consists of a baseband modulator, channel, and demodulator. The system s bit error rate (BER) is computed and the transmitted and received signals are displayed in a constellation diagram.
The following table summarizes the basic operations used, along with relevant Communications System Toolbox and MATLAB functions. The example uses baseband 16-QAM (quadrature amplitude modulation) as the modulation scheme and AWGN (additive white Gaussian noise) as the channel model.-Introduction
This section builds an example step-by-step to give you a first look at the Communications System Toolbox™ software. This section also shows how Communications System Toolbox functionalities build upon the computational and visualization tools in the underlying MATLAB® environment.
Modulate a Random Signal
This example shows how to process a binary data stream using a communication system that consists of a baseband modulator, channel, and demodulator. The system s bit error rate (BER) is computed and the transmitted and received signals are displayed in a constellation diagram.
The following table summarizes the basic operations used, along with relevant Communications System Toolbox and MATLAB functions. The example uses baseband 16-QAM (quadrature amplitude modulation) as the modulation scheme and AWGN (additive white Gaussian noise) as the channel model. Platform: |
Size: 1024 |
Author:Thanh CRuise |
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Description: 实现QPSK调制,映射成星座图上对应的复数点;将星座图上的复数点作QPSK解调。
16和64位QAM调制。(The QPSK modulation is mapped into the corresponding complex points on the constellation diagram, and the complex points on the constellation diagram are demodulated by QPSK.
16 bit and 64 bit QAM modulation.) Platform: |
Size: 1024 |
Author:pandaaa
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Description: 1. 在matlab中,对k均值聚类算法的原理进行仿真实现;
2. 在不同信噪比下,比较接收QAM信号的星座图;
3. 对接收的星座图使用K均值算法进行均衡,比较使用算法和不使用算法直接解调的误码率。(1.we simulate the principle of K means clustering algorithm in MATLAB.
2. the constellation diagram of receiving QAM signals is compared at different signal-to-noise ratios.
3. equalizing the received constellation using the K means algorithm, comparing the bit error rate of the algorithm and the direct demodulation without using the algorithm.) Platform: |
Size: 4096 |
Author:wangjiawei |
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