Description: 16-QAM基带传输系统的Matlab仿真
实现了主要模块二进制信息源输入,16QAM调制,发射滤波器,接收滤波器,采样,均衡,信号检测,16QAM解调,信息还原输出,产生BER曲线图。附上了我的课程论文,请大家参考-16-QAM base-band transmission system Matlab simulation to achieve the main source of information input module binary, 16QAM modulation, fired filter, receiver filter, sampling, balance, signal detection, 16QAM demodulator, information to restore the output, resulting BER curves. Attached my curriculum papers, please refer to Platform: |
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Author:coolrainy |
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Description: 关于BPSK,QPSK,8QAM,16QAM,32QAM的调制解调程序。可作为单独模块加入到任何信道下,解调采用了两种方法。-On the BPSK, QPSK, 8QAM, 16QAM, 32QAM modulation demodulation process. As a separate module can be added to any channel, the demodulator uses two methods. Platform: |
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Author:金鑫 |
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Description: 关于BPSK,QPSK,8QAM,16QAM,32QAM的调制解调程序。可作为单独模块加入到任何信道下,解调采用了两种方法。-On the BPSK, QPSK, 8QAM, 16QAM, 32QAM modulation demodulation process. As a separate module can be added to any channel, the demodulator uses two methods. Platform: |
Size: 1024 |
Author:water206 |
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Description: 16-QAM基带传输系统的Matlab仿真 实现了主要模块二进制信息源输入,16QAM调制,发射滤波器,接收滤波器,采样,均衡,信号检测,16QAM解调,信息还原输出,产生BER曲线图。-16-QAM base-band transmission system Matlab simulation to achieve the main source of information input module binary, 16QAM modulation, fired filter, receiver filter, sampling, balance, signal detection, 16QAM demodulator, information to restore the output, resulting BER curves. Platform: |
Size: 57344 |
Author:孙洋 |
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Description: QAM解调芯片中载波恢复的设计与实现,文件为MATLAB 源程序-QAM demodulator chip carrier recovery in the design and realization of the source file for the MATLAB Platform: |
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Author:王尊严 |
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Description: QAM Radio in Matlab. Software defined radio with transmitter and receiver simulated in Matlab. 16-QAM. Platform: |
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Author:Jack |
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Description: 一、 本程序采用16QAM调制方式,对一串2进制信源进行调制,用升余弦滚降函数进行基带调制,再调到高频信道;在信道上加入高斯白噪声,运用匹配滤波器解调,画出解调星座图,运用最小欧氏距离译码判决,计算误比特率。-First, this program uses 16QAM modulation mode, for a string of two binary source is modulated with a raised cosine roll-off function for base-band modulation, and then transferred to high-frequency channel in the channel by adding Gaussian white noise, the use of matched filter device demodulator, draw demodulation constellation, using the minimum Euclidean distance decoding decision, calculate bit error rate. Platform: |
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Author:zhaoyang |
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Description: In this simulink model , 16-QAM modulation and demodulation is simulated .A square root raised cosine pulse shaped signal is modulated and given as input to the demodulator.The received signal
is demodulated and given to the detector where it is matched filtered and down-sampled .The effects of symbol timing offset
can be seen by varying the phase of down-sampling
operation.The signal transmitted is recovered
at the detector output.-In this simulink model , 16-QAM modulation and demodulation is simulated .A square root raised cosine pulse shaped signal is modulated and given as input to the demodulator.The received signal
is demodulated and given to the detector where it is matched filtered and down-sampled .The effects of symbol timing offset
can be seen by varying the phase of down-sampling
operation.The signal transmitted is recovered
at the detector output. Platform: |
Size: 9216 |
Author:quail |
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Description: a simple qam system with the use of a qam modulator demodulator and a random bits generator pwelch and comes from matlab central website Platform: |
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Author:panagiotisb |
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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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