Hw = (randn(n_r, n_t, nsample) + sqrt(-1) * randn(n_r, n_t, nsample)) / sqrt(2);
for i = 1:nsample
H = R_r_sqrt * Hw(:,:,i) * R_t_sqrt;
lambda = eig(H * H');
[mu pl] = WFL(lambda, SNR);
cwf(i) = sum(log2(1 + pl .* lambda));
cep(i) = sum(log2(1 + SNR/n_t * lambda));
end
Ce = mean(
2021-12-27 15:16:59
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Matlab的BP神经网络和RBF神经网络的仿真比较-BP神经网络和RBF神经网络的仿真比较.rar
BP神经网络和RBF神经网络的仿真比较，很不错的！！！
2021-10-07 00:33:56
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《Wireless Communications Principle and Practice 2nd Edition by Rappaport》 第三章课后习题：Compare the received power for the exact(Equation 4.47) and approximate (Euation 4.52) expressions for the two-ray ground reflection model. Assume the height of the transmitter is 40m and the height of the receiver is 3 m. The frequency is 1800 MHz, and unity gain antennas are used. Plot the received power for both models continuously over the range of 1 km to 20 km, assuming the ground reflection coefficient of -1 for horizontal polarization, d0=1km and Pr(d0)=1uw.
2021-09-12 13:19:13
2KB
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EKF UKF PF三个算法在f(x) = 0.5 *x + 25*x/1+x^2 + 8 * cos(1.2*(k-1))下仿真比较，自己写的代码，直接可以产生很好的效果图，直接可以给导师看。
2019-12-21 22:10:42
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