qam4

conver rgb image to yuv

实现图像的DCT高通、低通滤波器并与傅里叶变换做比较.有图可见，经DCT低通滤波后，图像变得很模糊。因为DCT是FFT取其实部，能量减少，因此图像变得很模糊，没有经FFT滤波后的效果好。 经DCT高通滤波后的图像： 经DCT高通滤波后，图像的低频部分被滤除掉，图像变黑，只有边缘的痕迹可见。 (The DCT of image high-pass, low pass filter and compared with the Fourier transform.)

详细介绍了如何使用matlab处理图形图像，让你轻松掌握GUI，清楚如何操作(Described in detail how to use matlab handle graphic images, allows you to easily grasp the GUI clear how to operate)

BACK PROPOGATION ALGORITHM FOR MATLAB

通过迭代计算方法计算波浪波长的程序，可以计算不同周期波浪由深水传向浅水，不同深度波长的变化。(caculate the wavelength ,you should input the depth and period)

其中有五个程序，详细地说明了五种基于模糊数据的模糊聚类的方法与实现步骤。其中五种程序分别来自五个权威外文论文(Among them, five procedures, detailed description of five based on fuzzy data fuzzy clustering methods and implementation steps. Five procedures in which the authority of a foreign language from the five papers)

对两径瑞利衰落信道进行matlab仿真。使用同一载波通过两条瑞利信道，并显示输出结果，包括相移等变化。(Path of the two Rayleigh fading channel for matlab simulation. Using the same carrier passed two Rayleigh channel, and display the output results, including phase-shifting and other changes.)

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

Finite element method for 2D Poisson s equation ( Elliptic).

Constrained optimization has been explained with matlab 2007a. This has been explained with various benchmark functions. The main program can be directly applied to knapsack problem and portfolio optimization problem directly. These programs have been written in a menu driven manner.