Rotational-Linear-Discriminant-Analysis-Using-Bay

matlab code for Efficient 2D histogram, no toolboxes needed

This is the tutorial for MFCC

Simo traces the ser for a simo system :n transmit antenna and 1 recieve antenna and compare it to an alamouti system

本文中，我们提出了检测速度标志探测器的径向对称性。我们评估一个内道路车载系统探测器本身。我们也评估其性能，并在我们的道路车辆运行线上证明。(Algorithms for classifying road signs have a high computational cost per pixel processed. A detection stage that has a lower computational cost can facilitate real-time process- ing. Various authors have used shape and color-based detectors. Shape-based detectors have an advantage under variable lighting conditions and sign deterioration that, although the apparent color may change, the shape is preserved.)

利用神经网络优化BP神经网络，能有效提高BP神经网络对非线性的拟合精度，效果较好。(Using neural network optimization BP neural network, BP neural network can effectively improve the accuracy of nonlinear fitting better.)

The sourcecode of Universally-Convergent Squared-Operator Iteration Methods for fig2 using SOM

解非线性方程 能过解复根 实根 但需要逼近(help you save equation conclude different answer)

运用蚁群算法求解TSP问题的MATLAB源码，运行很稳定(Using ant colony algorithm for TSP problem MATLAB source code, run very stable)

FISTA block sparse 压缩感知加速恢复算法(FISTA block sparse)

This function uses eigenfunction analysis to solve the matrix differential equation m*y (t)+c*y (t)+k*y(t)=f1*cos(w*t)+f2*sin(w*t) with initial conditions of y(0)=y0, y (0)=v0