lateral-velocity_observer_forward

说明：  canny边缘检测，还不错，希望能对大家有帮助(canny edge detection, well, hope you can help)

Routine to calculate the COP parameters

这个文档包含四种不同的功能求解非线性方程组。包括牛顿 - 拉夫逊，定点，正割，二分法方法。这项工作是我的课程的一部分，在数值计算的本科课程。它包括时序和表的打印输出进行分析和比较。有很多的观察，你可以：例如，对于一个特定的公式，一种方法可能运行的迭代次数最少，而另一个将运行更多的迭代，但计算速度最快的。(This document contains four different functions for solving nonlinear equations. Including Newton- Raphson, fixed, Secant, bisection method. This work is a part of my course in numerical undergraduate courses. It includes the timing and tables to analyze and compare the printout. There are a lot of observation, you can: For example, a specific formula, a method may be running a minimum number of iterations, while the other will run more iterations, but the calculation is the fastest.)

matlab编程，通过设计训练一个人工神经网络来达到其对一个4传感器实时检测输出结果融合判断的模拟，文中涉及人工圣经网络和多传感器融合两们学科的基本知识。(matlab programming, through the design of training an artificial neural network to achieve its real-time detection of a 4-sensor integration to determine the output of the simulation, the text of the Bible involved in the artificial network and multi-sensor fusion of two disciplines have a basic knowledge.)

利用matlab程序编写了如何求解连续状态空间方程的解(Use matlab to write how to solve the continuous state space equation solution )

Jerk混沌序列转换为二进制后，序列的相关性分析 程序简单运行方便(After Jerk chaotic sequence converted to binary, correlation analysis program sequences to facilitate simple operation)

基于信道的历史信息来预测不同信道的未来可用时间可以帮助CR选择一个最佳信道进行信息传递。不同的预测准则应用到周期或是随机的开关模式中。一个CR可以学习以往不同信道的模式。我们提出一个简单的分类和学习方法去检测模式的类型和收集需要的信息用于智能信道的选择。MATLAB仿真结果显示提出的方案在随机信道的随机和周期模式中都有优越的表现。随着时间的变化，新到的切换次数减少到55 ，并且延迟时间也相应减少，而吞吐量却在提高。(Prediction of future availability times of different channels based on history information helps a cognitive radio (CR) to select the best channels for control and data transmission. Different prediction rules apply to periodic and stochastic ON-OFF patterns. A CR can learn the patterns in different channels over time. We propose a simple classification and learning method to detect the pattern type and to gather the needed information for intelligent channel selection. Matlab simulations show that the proposed method outperforms opportunistic random channel selection both with stochastic and periodic channel patterns. The amount of channel switches needed over time reduces up to 55 , which reduces also the delay and increases the throughput.)

哈夫曼编码matlab程序哈夫曼编码matlab程序哈夫曼编码matlab程序(Huffman coding matlab program Huffman coding matlab program Huffman coding matlab program)

考虑一个信道失真了的脉冲x(t)，在均衡器的输入端由下式表示：x(t)=1/(1+(2t/T)^2) 其中1/T为符号率。该脉冲以2/T采样率被采样，而且用一个2K+1=11的强迫归零均衡器进行均衡。写一个Matlab程序来解这些迫零均衡器的系数，求出并画出这个迫零均衡器50个采样值的输出。(Considering a channel distortion of the pulse x (T), the input end of the equalizer is represented by the X (T) =1/ (1+ (2t/T) ^2). 1/T is a symbol rate. The pulse is sampled at the 2/T sampling rate and is balanced by a 2K+1=11 forced zero equalizer. A Matlab program is written to solve the coefficients of these zero forcing equalizers and to find out and draw the output of the 50 sampling values of the zero forcing equalizer.)

已知离散的坐标数据，利用这些坐标点进行椭圆拟合的程序(Known coordinates of discrete data points to use these coordinates ellipse fitting procedure)