mpeg_coding_decoding

此程序包含多普勒功率谱，瑞利衰落信道，pdf概率密度等的仿真，且能出图(This program contains a Doppler power spectrum, Rayleigh fading channel simulation, pdf probability density, and can plot)

图像 稀疏分解方法 Random Sampling of Sparse Trigonometric Polynomials II - Orthogonal Matching Pursuit versus Basis Pursuit - (Preprint arXiv:math.CA/0604429) by Stefan Kunis and Holger Rauhut(Image sparse decomposition method Random Sampling of Sparse Trigonometric Polynomials II- Orthogonal Matching Pursuit versus Basis Pursuit- (Preprint arXiv: math.CA/0604429) by Stefan Kunis and Holger Rauhut)

程序是对智能天线算法进行了简单的仿真！希望供大家参考，欢迎下载(procedures for smart antenna algorithm for the simulation of a simple! Hope for your reference, please download)

用matlab对对象进行了模糊PID的编程。(The fuzzy PID programming on object using matlab and VC language. )

最小二乘回归分析算法，可以动态调节运行环境的参数，阐述了负荷预测的应用研究。( Least-squares regression analysis algorithm, Can dynamically adjust the parameters of the operating environment, It describes the application of load forecasting.)

编写M文件，创建如下图形窗口，分别绘制如下图所示的曲线。 （1）曲线y=sin(t)sin(9t)，要求采用红色，点线。横坐标取值范围[0~ ]，标注x轴、y轴并加标题。 （2）一组余弦曲线，其振幅分别为0.4，0.6和0.8。横坐标取值范围[0~2 ]。添加图例与标题。进入图形编辑状态，调整图例的位置。 （3）分别绘制peaks函数的曲面图和网格线图。对曲面图做平滑处理，并添加标题与colorbar。 (Write M file, create the following graphics window, curves were plotted as shown below. (A) the curve y = sin (t) sin (9t), require the use of a red dotted line. The abscissa in the range [0 ~  ], labeled x-axis, y-axis and a title. (2) a set of a cosine curve, and the amplitude was 0.4, 0.6, 0.8. Abscissa value range [0 ~ 2  ]. Add a legend and title. Into the graphical editing mode, adjust the position of the legend. (3) were drawn surface chart peaks function and grid line graph. Surface charts do for smoothing and add titles and colorbar.)

THIS IS THE MATLAB SOURCE CODE

复杂网络中的sw小世界模型和无标度BA模型的生成程序(sw model and BA scale free model )

说明：  about mppt algorithm

2012 ECCV 稀疏编码和 字典学习( Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach. European Conference on Computer Vision (ECCV), pp. 216-229, 2012.)