BER_simulation_with_matlab

给定控制顶点，绘制出B样条曲线，不是很好，大家可以学习一下(The given control vertex arrays, fitting out of B spline curve, is not very perfect, we can learn about it )

matlab编写的kmeans均值聚类程序。可以分多类！！(matlab prepared the kmeans mean clustering program. Division multiple class! !)

说明：  0_Linear：线性回归练习 1_LogistRegression：逻辑回归练习 2_boston：波士顿房价预测 3_regularization：正则化 5_stock：股票价格预测 6_CTR：点击率预测 7_all_model：回归与分类模型 8_muticlass：多分类练习 9_regression_implement：不同回归算法tf实现(0_Linear. 1_LogistRegression. 2_boston. 3_regularization. 5_stock. 6_CTR. 7_all_model. 8_muticlass. 9_regression_implement.)

阵列信号处理中，处理相干信号源的一种经典方法，Toeplitz算法的源程序(, a classic method ，Toeplitz algorithm，to deal with coherent signal sources in array signal processing)

用matlab编程求解无约束优化问题、线性规划问题即在一组线性不等式或等式组的约束条件下求某个线性函数的最值问题(Matlab programming for solving unconstrained optimization problems, linear programming problems that most value problem for a linear function under the constraints of a set of linear inequalities or equations group)

说明：  add noise to image and remove it with median, weiner and linear filter

扩展卡尔曼滤波，预测目标无人机实时位置信息，掌握飞行动态(Extended Kalman filtering, real-time location information to predict a target drone, flight dynamics control)

convolutional code and BER curves using soft dicision

运动目标的检测是视频处理过程中后续跟踪技术的基础,其检测结果的好坏直接关系到能否跟踪到运动目标及跟踪准确度问题。运动目标的检测就是从机器视觉系统获取的序列图像中把前景,运动,目标分割提取出来的过程。本文描述了机器视觉中运动目标检测的主要方法?介绍了其中背景减除法的几种典型算法的原理、特点、背景差分法的基本流程?主要包括四个步骤为,预处理、背景建模、目标检测、后处理。然后在matlab环境下运用背景减除算法完成了视频中运动目标的检测,并对检测结果图像进一步处理.(Moving target detection is a follow up video processing technology based on the test results is directly related to the ability to track moving targets and tracking accuracy. Moving target detection prospects, movement, object segmentation extracted from the sequence of images acquired by the machine vision system. This paper describes the main method of moving target detection machine vision ? introduced the principle of which several typical algorithms for background subtraction method, the basic flow characteristics, background difference method ? mainly includes four steps, preprocessing, background modeling target detection, post-processing. Use background subtraction algorithm in Matlab environment complete video moving target detection, and detection results of images for further processing.)

比较matlab中ceil()、floor()、round()等的量化误差大小。并比较不同的量化位数的误差(Compare matlab in ceil (), floor (), round (), etc. quantization error size. And comparing different error of quantization bits)