MATLAB-math

用DFT近似计算连续时间周期信号的频谱，对matlab新手适用。(Approximate calculation using DFT spectrum of continuous-time periodic signal of matlab novice apply.)

伪彩色增强,对灰度图像Fig5.bmp中不同灰度值的区域赋予不同的颜色，使生成的伪彩色图像尽可能接近现实状况。(Pseudo-color enhanced gray-scale image of gray value Fig5.bmp different regions to give a different color, so that the resulting pseudo-color image as close to reality.)

Gauss Elimination (normal way, or using vector storage). Data in file TP2 (or TP02), which is the file to be run

eye detection sample in matlab. Eyetrackers can analyze a driver’s level of attentiveness while driving and prevent drowsiness from causing accidents.(eye detection sample in Matlab. Eyetracke rs can analyze a driver's level of attentivenes s while driving and prevent CAR from cau sing accidents.)

此文档介绍了Matlab软件中使用的一种实用算法--动态规划。(This document describes a practical algorithm- dynamic programming Matlab software.)

假设一个接收到的信号为：x(t)=s(t)+n(t), 其中s(t)=A*cos(wt+a), 已知信号的频率w=1KHz， 而信号的幅度和相位未知，n(t)是一个服从N(0,1)分布的白噪声。为了利用计算机对信号进行处理， 将信号按10KHz的频率进行采样。 通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). 在未知信号频率的情况下，通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). (Assuming a received signal: x (t) = s (t)+ n (t), one of s (t) = A* cos (wt+ a), the known frequency signal w = 1KHz, And the signal amplitude and phase of the unknown, n (t) is a subject to N (0,1) the distribution of white noise. The use of computers in order to deal with the signal, The signal by sampling frequency of 10KHz. Of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t). Frequency signals in unknown circumstances, the adoption of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t).)

籽子群优化算法优化BP神经网络，使用优化后的神经网络对图像进行分割。包括：籽子群优化算法，籽子的编码，最优权值和阈值的后成，基于籽子群优化算法的神经网络的培训，图像的分割。(The BP neural network optimized by Particle Swarm Optimization　algorithm for image segmentation)

to retrive signal in matrix form from strucutre which obtained from scope of simulink

Simple code for BLIMP Inversion

Two dimensional bilateral filtering for colour images