hht

利用DCT进行图像压缩（首先将图像分割成8×8的图像，对每个子图像进行DCT，这样每个子图像有64个系数，舍去50％小的变换系数，进行2：1的压缩。）(Using DCT for image compression (first image into 8 × 8 image, for each sub-image DCT, so that each sub-image by a factor of 64, rounding 50 of the small transform coefficients, the 2:1 compression.))

General DoubleBinaryTurbo simulation

the famous 3 machines 9 bus power systems on simpowersystems

this is the program for cross layer estimate in matlab environment

This is one more image processing project done in Matlab.

说明：  每个传感器具有一定的范围和精度，而且周围环境可能对它们产生干扰。即单传感器只能提供部分不精确的信息，从而不能排除对外界环境描述的歧义性。鉴于各传感器性能上的差异表现出的互补性，如果综合各个传感器的信息，就能得到比单一传感器所能提供的更准确可靠的信息。简言之，与单一传感器相比，多传感器数据融合由于信息的冗余性和互补性存在很多方面的优势。 多传感器融合(Each sensor has a certain range and accuracy, and the surrounding environment may interfere with them. That is to say, a single sensor can only provide some inaccurate information, so it can not rule out the ambiguity of the description of the external environment. In view of the complementarity of the differences in the performance of each sensor, if we synthesize the information of each sensor, we can get more accurate and reliable information than a single sensor can provide. In short, compared with a single sensor, multi-sensor data fusion has many advantages due to the redundancy and complementarity of information.)

This is code for Haralick feature extraction for image in matlab. The basis for these features is the gray-level co-occurrence matrix. This matrix is square with dimension Ng, where Ng is the number of gray levels in the image. Element [i,j] of the matrix is generated by counting the number of times a pixel with value i is adjacent to a pixel with value j and then dividing the entire matrix by the total number of such comparisons made.

说明：  hyper chaotic transformation

数字图像处理几种算法的MATLAB实现，若有疑问请联系qq：546654010(Digital Image Processing Algorithms for MATLAB realize, If in doubt please contact qq: 546654010)

this code for least square collocation estimation