kalman_filter

这本书讲述了认知无线电的发展，以及认知无线电的重要性，是认知无线电的开山之作，里面的理论通俗易懂，容易理解，有很多仿真图形(This book describes the development of cognitive radio, as well as the importance of cognitive radio, cognitive radio for the mountains, which the theory easy to understand, easy to understand, a lot of graphic simulation)

无线通信FPGA设计的所有源码，具有良好的使用价值(verilog matlab ISE )

anpr chuong trinh nhan dang bien so

voice detection

synchronisation passive satellite

dijkstra算法的，比较简单。用于去图论路径最短值，会给出最短路径值和方案(dijkstra algorithm is relatively simple. For the shortest path to the value of graph theory, will give the shortest path values ​ ​ and programs)

matlab经典绘图案例。包括三维曲面z=x^2+y^2的动画、正弦曲线的动画、切片图、向量图、三维彗星图、三角形网格图、三角形表面图、球面、等值线图、三维瀑布图、三维火柴杆图、三维散点图、柱形图、三维条形图、三维饼图、带形图、曲线图、高斯分布函数的曲面图、高斯分布函数的网格图、5阶高斯分布矩阵、梯度场矢量图、罗盘图、玫瑰花图、羽列图、数据向量的单轴对数坐标图、矩阵的条形图 矩阵的面积图、二维饼图、散点图、误差图、火柴杆图和碗状曲面图等等。 (Drawing matlab classic case. Including three-dimensional surface z = x ^ 2+ y ^ 2 animation, animated sine curve, slices, vector graphics, three-dimensional map comet, triangular grid map, triangular surface plots, spherical, contour, 3D waterfall, three-dimensional grid graph matchstick figure, three-dimensional scatter plot, bar chart, the three-dimensional bar charts, three-dimensional pie charts, strip charts, graphs, surface, Gaussian distribution function, the Gaussian distribution function, fifth-order Gaussian distribution matrix gradient vector field, compass, rose diagram, feather column chart, the data vector uniaxial logarithmic graph, bar graph matrix Area chart matrix, two-dimensional pie charts, scatter plots, error plots, matchstick figure and bowl surface map and so on.)

RBF方法对一维函数进行插值实例，选用的函数为MQ函数，可与高阶多项式插值对比，说明RBF方法克服了龙格振荡问题。(RBF method for one dimentional function interpolation, where the Runge oscillation is disappear.)

可以提取一幅图中想要的目标，随机调制信号下的模拟ppm，数值分析的EULER法。( Target can be extracted in a picture you want, Random ppm modulated analog signal under EULER numerical analysis method.)

手指静脉识别matlab代码、注释及原图一张(Finger vein recognition matlab code, comments and artwork 1)