Description: 包括0均值和给定方差的高斯白噪声生成函数，以及复高斯白噪声生成函数-Including the 0 mean and given variance Gaussian white noise generating function, as well as complex Gaussian white noise generating function Platform: |
Size: 1024 |
Author:秦丽 |
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Description: 模擬OFDM在方差為1，均值為0的AWGN通道下，聲噪對OFDM的影響。-Simulation of OFDM in the variance is 1, the mean is 0 under the AWGN channel, the sound effects of noise on the OFDM. Platform: |
Size: 1024 |
Author:林季緯 |
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Description: In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined.-In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined. Platform: |
Size: 147456 |
Author:prasad |
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Description: 对于信号 ，其中w(n)为均值为0，方差为1的AWGN。n=1,2,…，128。
AR模型功率谱估计。假设AR（4），用LS方法估计AR参数，功率谱用freqz（1，LS_ar,1024,1）来验证。-For the signal, which w (n) is zero mean and variance 1 AWGN. n = 1,2, ..., 128.
AR model power spectrum estimation. Assuming AR (4), with the LS method to estimate AR parameters, power spectrum with freqz (1, LS_ar, 1024,1) to verify.
Platform: |
Size: 1024 |
Author:jiajia |
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Description: 假设用图示所示的两个正交信号经由一个AWGN信道传输二进制信息，在持续期Tb的每个比特区间接收到的信号以10/Tb速率采样，即每个比特区间内10个样本，幅度为A。噪声是均值为零，方差为 的高斯过程。
写MATLAB程序，在方差为0,0.1,1.0和2.0时，完成接收信号和两种发射信号的每一种的离散时间相关，画出在时刻k=1,2,…,10相关器的输出。-Assuming an AWGN channel transmission via binary information in two orthogonal signals icon shown in the ratio of each signal received indirect SAR duration Tb to 10/Tb sampling rate, that is, within the range 10 samples per bit, amplitude A. Noise is zero mean and variance of the Gaussian process.
Write a MATLAB program, the variance is 0,0.1,1.0 and 2.0, to complete each of the two discrete-time signals and transmit the received signal correlation shown in the time k = 1,2, ..., 10 output of the correlator . Platform: |
Size: 2048 |
Author:卢昳丽 |
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Description: 信道均衡的MATLAB程例，是一个很好的例子，对于做通信信道仿真研究的就有较高的参考和使用价值。(In this example we have a typical channel equalization scenario. We want
to estimate the transmitted sequence with 4-QAM symbols. In
order to accomplish this task we use an adaptive filter with N coefficients
The procedure is:
1) Apply the originally transmitted signal distorted by the channel plus
environment noise as the input signal to an adaptive filter.
In this case, the transmitted signal is a random sequence with 4-QAM
symbols and unit variance. The channel is a multipath complex-valued
channel whose impulse response is h = [1.1+j*0.5, 0.1-j*0.3, -0.2-j*0.1]^T
In addition, the environment noise is AWGN with zero mean and
variance 10^(-2.5).
2) Choose an adaptive filtering algorithm to govern the rules of coefficient
updating.) Platform: |
Size: 1024 |
Author:ZJL0110
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