Description: 一张图片是之前用摄像机采集的，另一张图片是经过离散沃尔什变换再量化编码压缩后又解压所得，能看出区别吗？呵呵。flik.m是原图，newflik.m是新图。
附上所有MATLAB源程序，有兴趣的话，你也可以用这几个程序对自己的照片“加工”一番。以下6个程序分别保存为6的m文件，文件名与下面给出的一致。待“加工”图片应该存放在Matlab的Work目录下。-Before a picture is collected by the camera, another picture is the result of discrete Walsh transform and then re-quantization coding compression decompression income, you can see the difference? Ha ha. flik.m is the image, newflik.m is a new map. MATLAB source code attached to all interested, you can also use these procedures on their own photo processing of something. The following six procedures were saved as 6 m file, the file name is given with the following consensus. To be processing picture should be stored in Matlab s Work directory. Platform: |
Size: 1024 |
Author:余海风 |
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Description: Walsh变换的c语言处理实现，可将其通过Matlab接口转换成matlab代码-Walsh Transform c language processing to achieve, can be converted through Matlab interface matlab code Platform: |
Size: 38912 |
Author:张然 |
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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 |
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Search - matlab code for walsh transform