lane-detection-using-image-processing

稀疏表示理论及其在信号处理和图像处理中的应用(Sparse representation theory and its application in signal processing and image processing)

MATLAB基本工具箱，适合初学者使用，包括matlab的基本工具箱(The basic MATLAB toolbox for beginners, including the basic toolbox of matlab)

说明：  (径向基函数)神经网络能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性，具有良好的泛化能力，并有很快的学习收敛速度，已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等(rmf netural network matlab)

计算矩阵的解，是一种雅克比迭代，应用此程序可以很快的计算矩阵的解。(Computing solution matrix is a Jacobi iteration, the application of this procedure can quickly calculate the matrix solution.)

神经网络，最小偏二乘回归，改变原始数据即可使用(Neural network,etc. Could be applied for other cases if altering the original data)

estimate the orientation of fingerprint

随机改变一个矩阵的行的顺序生成新矩阵 保持数据不变(Randomly changing the rows of a matrix to generate a new matrix)

代码实现了最小均方差和迫零均衡器的误码率仿真图，并且通过对比理论曲线，验证了代码的正确性。(Code implements the MMSE and zero forcing equalizer BER simulation diagram, and by comparing the theoretical curves to verify the correctness of the code.)

文本挡的firsher线性判别器是最简单的模式识别分类，在这里用了matlab进行了编程(Text the gear firsher linear discriminant is the most simple pattern recognition classification, where the Matlab programming)

LPC voice compression and decompression example