Description: ZNCC Normalized cross correlation
m = zncc(w1, w2)
Compute the zero-mean normalized cross-correlation between the two
equally sized image patches w1 and w2. Result is in the range -1 to 1, with
1 indicating identical pixel patterns.-ZNCC Normalized cross correlation
m = zncc(w1, w2)
Compute the zero-mean normalized cross-correlation between the two
equally sized image patches w1 and w2. Result is in the range-1 to 1, with
1 indicating identical pixel patterns. Platform: |
Size: 1024 |
Author:mahmoud |
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Description: 最新改进型的瑞利衰落仿真模型，同相和正交分量的自相关和互相关性接近于零-Rayleigh fading latest improved simulation model of the in-phase and quadrature components of autocorrelation and cross-correlation is close to zero Platform: |
Size: 1024 |
Author:张宇 |
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Description: Many codes have been proposed for the Spectral
Amplitude Coding (SAC) Optical Code Division Multiple Access (OCDMA) systems that has variable weights of greater than two. The best cross correlation property of these codes can only achieve a minimum cross correlation of one. To satisfy this, this paper propose a new SAC-OCDMA code with ‘zero cross correlation’ property which is crucial in minimizing Multiple Access Interference (MAI) effect. Platform: |
Size: 559104 |
Author:samia |
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Description: This Matlab Code models a Rayleigh fading channel using a modified Jakes channel model.
A modified Jakes model chooses slightly different spacings for the scatterers and scales their waveforms using Walsh–Hadamard sequences to ensure zero cross-correlation.
\alpha_n = \frac{\pi(n-0.5)}{2M} and \beta_n = \frac{\pi n}{M},
results in the following model, usually termed the Dent model or the modified Jakes model:
R(t,k) = \sqrt{\frac{2}{M}} \sum_{n=1}^{M} A_k(n)\left( \cos{\beta_n} + j\sin{\beta_n} \right)\cos{\left(2\pi f_d t \cos{\alpha_n} + \theta_{n}\right)}.
The weighting functions A_k(n) are the kth Walsh–Hadamard sequence in n. Since these have zero cross-correlation by design, this model results in uncorrelated waveforms. The phases \,\!\theta_{n} are initialized randomly and have no effect on the correlation properties. Matlab fast Walsh-Hadamard transform function is used to efficiently generate samples using this model.-This Matlab Code models a Rayleigh fading channel using a modified Jakes channel model.
A modified Jakes model chooses slightly different spacings for the scatterers and scales their waveforms using Walsh–Hadamard sequences to ensure zero cross-correlation.
\alpha_n = \frac{\pi(n-0.5)}{2M} and \beta_n = \frac{\pi n}{M},
results in the following model, usually termed the Dent model or the modified Jakes model:
R(t,k) = \sqrt{\frac{2}{M}} \sum_{n=1}^{M} A_k(n)\left( \cos{\beta_n} + j\sin{\beta_n} \right)\cos{\left(2\pi f_d t \cos{\alpha_n} + \theta_{n}\right)}.
The weighting functions A_k(n) are the kth Walsh–Hadamard sequence in n. Since these have zero cross-correlation by design, this model results in uncorrelated waveforms. The phases \,\!\theta_{n} are initialized randomly and have no effect on the correlation properties. Matlab fast Walsh-Hadamard transform function is used to efficiently generate samples using this model. Platform: |
Size: 2048 |
Author:Manzar Hussain |
Hits:
Search - zero cross correlation