EBMA_Half_Pixel.m

srtm是美国nasa指定的精度为90米的全球高层数据，函数srtmshow可以利用matlab读取这样的数据，并且以mesh的形式显示他们。用法：srtmshow（‘c:/.../XXX.ttf’,60,70,60,70）。表示读取文件XXX.ttf中横向60 -70 ，纵向60 -70 的数据并显示他们。 (srtm the United States designated the accuracy of nasa' s global top 90 m data, the function srtmshow can use matlab to read this data and to display them in the form of mesh. Usage: srtmshow (' c :/.../ XXX.ttf' , 60,70,60,70). That read the file XXX.ttf 60 -70 in the horizontal, vertical 60 -70 of the data and display them.)

非常不错的非线性非高斯环境下的粒子滤波程序进化算法(very good non-linear environment Gaussian filter particles procedures evolutionary algorithm)

对想做一些关于地震重现规律研究的有用，这是现成的程序源代码，可以直接用。(it is very helpful for some persons who want to do some research on earthquake b value )

用matlab实现的离散余弦编码，主要通过离散余弦编码的原理，用matlab实现的源代码。(Using matlab realize the discrete cosine coding, discrete cosine, mainly through the principle of encoding, using matlab realize the source code.)

说明：  关于MATLAB程序设计基础的一篇文章，挺好的。(On the MATLAB program design based on an article, quite good.)

用matlab实现QPSK调制，各路信号的频谱，高斯白噪声信道(QPSK modulation to achieve with matlab, and the brightest signal of the spectrum, white Gaussian noise channel)

把HHT和神经网络结合起来，识别出是否故障。对于HHT变换，这里用到的是它的IMF分解，然后用能量理论来判别哪些模组是虚假分量，哪些是是真实分量。对于EMD分解后的谱进行特征提取 ，利用的理论基础就是模糊熵。计算出真实 分量的模糊熵，作为输入层；输出层为两个神经元，为0（故障 ）1（正常 （正常 ）判别该信号是否出现故障。(The combination of HHT and neural network to identify whether the fault. For the HHT transform, here is the use of its IMF decomposition, and then use the energy theory to determine which module is false, which is true component. The theoretical basis for the feature extraction of the spectrum after EMD decomposition is fuzzy entropy. The fuzzy entropy of the real component is calculated, as the input layer, the output layer is two neurons, which is 0 (fault) 1 (normal) to determine whether the signal is faulty.)

实现对指定的函数梯度图的绘制，及其三围图形绘制等功能(Achieve specified function gradient map drawing, and its measurements graphics rendering functions)

以污染气体排放量最小函数为目标，求解电力系统调度问题。(Solution to Economic Dispatch by Equal Incremental Cost Criterion)

Compressive Sensing： 从时域稀疏性和频域稀疏性两个不同角度实现基于MATLAB的压缩感知原理性能.对于Compressive Sensing 初学者有着极大的帮助。(Compressive Sensing： Based on MATLAB, codes realize CS theory from Time-Sparsing and Frequency-Sparsing field.It s really helpful for those who are fresh in CS field.)