Baseband_System_QPSK

说明：  研究在matlab环境下，fft的实现以及用matlab产生各种滤波器包括用双线性变换法以及脉冲响应不变法实现。(Research in the matlab environment, fft implementation and produce a variety of filters using matlab including the use of bilinear transform and impulse response method to achieve the same.)

基于 DCT(离散余弦变换 )域的信息隐藏算法是目前应用最广的变换域算法 ,此类算法的最大不足是嵌信息量小。通过分析 DCT域隐藏算法隐藏容量少的原因 ,提出了一种大容量的 DCT域信息隐藏算法。算法首先对载体图像进行频谱均匀化处理 ,然后对图像进行全局 DCT变换 ,并将隐藏信息嵌入到载体图像的低频 DCT系数上 ,信息嵌入采用分段量化的方法实现 ,提取隐藏信息时不需要原始载体图像。实验结果表明 ,该算法的嵌入容量大 ,不可感知性好。(Based on DCT (discrete cosine transform) domain information hiding algorithm is the most widely used transform domain algorithms, the largest of these algorithms is the lack of a small amount of information embedded. Hiding Algorithm for DCT domain by analyzing the hidden reasons for the low capacity, a large capacity of information hiding algorithm for DCT domain. Firstly, the spectrum of the carrier image homogenization, and then the image is a global DCT transformation, and hidden information embedded into the image of the low-frequency DCT coefficients, the information embedded in the methods used to achieve sub-quantization, extract hidden information without the original Vector image. Experimental results show that the algorithm embedding capacity, can not be perceived good.)

it is a matlab code for non linear programming.it calls penalty method.

说明：  论文的仿真代码，中文字数必须大于20个字。。。。(optimal simulation, but not include CVX function,just take the result after optimal computing)

matlab 初始对准测试，对研究初始对准的朋友提供参考(matlab align test program)

Comparable Entity Mining from Comparative Questions

modelseis, seismic modeling forward and inverse modeling,

To calculate the maximum displacement in Cantilever beam. Using finite element method.

function [H T] = Bretschneider(F,U,D) functie [H T] = Bretschneider(F,U,D) F= fetchlengte (m) U =windsnelheid (m/s) D= depth (m) Depth dependend Bretschneider formulag. see Sorensen, R.M. (1993). Basic Wave Mechanics for Coastal and Ocean Engineers. New York: John Wiley & Sons.

说明：  Matlab時頻分析工具箱原始碼及其應用(Matlab toolbox-source time-frequency analysis and its application)