Search - simulation of power spectral density of QAM

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[Program doc] QAM_MATLAB DL : 0: 可实现QAM的星座图输出，仿真波形图输出，功率谱密度输出-Can be achieved QAM constellation diagram of the output, simulation waveform output, power spectral density output
Date : 2025-07-01 Size : 1kb User : 281405177
[Other systems] BERforQAM DL : 0: BER of QAM at Different bitrates, The resulting bit error rate the Monte Carlo simulation for the different QAM bit rates (4 to 1024) have been exported to the Matlab workspace as a vector of error values for each bit rate versus the noise power spectral density (Eb/No) variations. The figure illustrates the fact that at higher transmission bit rates, the error in the received signal increases. Therefore, it becomes a tradeoff between the transmission speed and the accuracy of the transmitted data. The increase in the error or distortion in the received signal may add to the complexity of the receiver design in order to recover the original signal or information.-BER of QAM at Different bitrates, The resulting bit error rate the Monte Carlo simulation for the different QAM bit rates (4 to 1024) have been exported to the Matlab workspace as a vector of error values for each bit rate versus the noise power spectral density (Eb/No) variations. The figure illustrates the fact that at higher transmission bit rates, the error in the received signal increases. Therefore, it becomes a tradeoff between the transmission speed and the accuracy of the transmitted data. The increase in the error or distortion in the received signal may add to the complexity of the receiver design in order to recover the original signal or information.
Date : 2025-07-01 Size : 1kb User : Sami
[Communication-Mobile] Design of Digital Simulation system for QAM DL : 0: The digital simulation system using MATLAB to illustrate the Quadrature Amplitude Modulation (QAM). QAM is a modulation scheme to convey two digital bit streams which can be converted to symbol signals by modulating the amplitudes and the phase of two carrier waves. First, we transmit a signal composed of two different 1024 bit streams and modulate them using QAM. Next, at the receiver, we demodulate them using an orthogornality of two carriers and matched filters. We also conduct the error analysis of two sampled signals in order to observe how the probability of making bit errors changes depending on the inverse of Power Spectral Density (PSD) of Additive White Gaussian Noise (AWGN).
Date : 2025-07-01 Size : 697kb User : khang