initial_kalman

Program to do main program 2 with picture Lena

说明：   有一个长度为整数L(1<=L<=10000)的马路，可以想象成数轴上长度为L的一个线段，起点是坐标原点，在每个整数坐标点有一棵树，即在0,1,2，...，L共L+1个位置上有L+1棵树。 现在要移走一些树，移走的树的区间用一对数字表示，如 100 200表示移走从100到200之间（包括端点）所有的树。 可能有M(1<=M<=100)个区间，区间之间可能有重叠。现在要求移走所有区间的树之后剩下的树的个数。 输入： 两个整数L(1<=L<=10000)和M(1<=M<=100)。 接下来有M组整数，每组有一对数字。 输出： 可能有多组输入数据，对于每组输入数据，输出一个数，表示移走所有区间的树之后剩下的树的个数。(Has a length of integer L (1 &lt = L &lt = 10000) of the road, one can imagine a number line segment of length L, the starting point is the coordinate origin, each integer coordinate points in a tree, i.e. 0,1 , 2, ..., L total has L+1 L+1 positions on the tree. Now to remove some trees, tree removed by a range of digitally represented, such as 100 200 represents removed (inclusive) between 100 and 200 all the trees. There may be M (1 &lt = M &lt = 100) intervals, there may be overlap between the intervals. Now, after the number of trees require the removal of all remaining sections of the tree. Input: two integer L (1 &lt = L &lt = 10000) and M (1 &lt = M &lt = 100). Then there is an integer M groups, each with a pair of numbers. Output: there may be multiple sets of input data, for each set of input data, the output of a number indicating the number of the removal of all remaining sections of the tree after tree.)

b站视频，压缩感知课程的讲义，初学值得一看(B station video, compressed sensing course notes, beginners are worth seeing.)

说明：  主要是介绍卡尔曼滤波器的原理，并形象地说明了实现过程，最后用matlab实现了这一原理。(Mainly to introduce the principle of Kalman filter, and vividly illustrates the realization of the process, and finally use matlab to achieve this principle.)

欧洲汽车CO2排放罚款计算，采用matlab、GUI进行编写，在2015年前都可以使用(Calculation of CO2 emissions from a fine European car, using matlab, GUI is written in 2015 can be used)

Moorer混响模型的matlab程序(Moorer reverb model matlab procedures)

解决传统人工势场法的目标不可达缺陷，通过改进斥力函数，解决问题(To solve the traditional artificial potential field goal unreachable defect)

本程序画出了时间序列下的各变量变化图，得到混沌性质，从而在区域内对变量进行取值，达到模拟出混沌的目的(This procedure draws the time series of each variable changes in plans, the chaotic nature, and thus in the region of variable values, to simulate the purpose of Chaos)

Image enhancement code using matlab algorithm. Very good performance.

pcm modulation and demodulation