Location:
Search - QAM BER S
Search list
Description: This code was used for making the practical measurements in section 2.3 of my thesis. This Matlab code allows an OFDM signal to be generated based on an input data file. The data can be random data, a grey scale image, a wave file, or any type of file. The generated OFDM signal is stored as a windows wave file, allowing it to be viewed, listened to and manipulated in other programs. The modified wave file can then be decoded by the receiver software to extract the original data. This code was developed for the experiments that I performed in my honours thesis, and thus has not been fully debugged.
This is the original code developed for the thesis and so has several problems with it. The BER performance given by the simulations is infact Symbol Error Rate.
-This code was used for making the practical measurements in section 2.3 of my thesis. This M atlab code allows an OFDM signal to be generated based on an input data file. The data can be rando m data, a gray scale image, a wave file, or any type of file. The OFDM signal is generated stored as a windows wave file, allowing it to be viewed. listened to and manipulated in other programs. The modified wave file can then be decoded by the receiver software to extract the original data . This code was developed for the experiments th at I performed in my honors thesis, and thus has not been fully debugged. This is the original code developed for the thesis and so ha 's several problems with it. The BER performance given by the simulations is infact Symbol Error Rate.
Platform: |
Size: 161792 |
Author: 王文 |
Hits:
Description: Passing signal to AWGN channel after QAM modulation and plotting BER at SNR
Platform: |
Size: 1024 |
Author: hamedvahedian |
Hits:
Description: Space time coding in Tarokh s paper
BER simulation
STBC encoder and decoder including M-ary QAM
Platform: |
Size: 15360 |
Author: grn552 |
Hits:
Description: MPSK和QAM仿真，AWGN信道，误码率与Es/N0的关系和理论关系式的对比。-MPSK or MQAM modulated signal s relationship between BER and Es/N0 in AWGN channel,compared with the ideal function given by theory.
Platform: |
Size: 1024 |
Author: jackal |
Hits:
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 |
Hits:
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 |
Hits: