1247900827CS_Kaman

Matlab实现的动态聚类算法，最后以点阵图输出计算结果(Matlab realize the dynamic clustering algorithm, and finally to bitmap output results)

Generating an Optical Sensor Image From Simulated Movement Data This script (aero_pointer_tracker.m) generates a movie with 64 frames and a frame size of 64 by 64 pixels (at 10 frames per second). The movie contains a simulation of a moving target that is moving through a structured background that is itself moving. A jitter motion caused by random vibration is also generated (in a Simulink® model called "aero_vibrati") and the jitter motion is added into the overall sensor motion. Finally, the image is blurred through a Gaussian optical point spread function. Note: Changing delt here also requires a change in the parameters set-up dialog box in the Simulink model "vibration".

最经典的语音降噪算法，MMSE-STSA 保证可用，记得好评(Shor time Spectral Amplitude Minimum Mean Square Error Method for Denoising noisy speech. based on log-Spectral MMSE Ephraim et al (1985))

a source code for calculate entropy in matlab

有关ifr iir 的学习电子书，介绍了这两种的使用方法(a pdf for ifr and iir , they are two kinds of filter)

ofdm simulation using matlab

PROJECT 02-02 Reducing the Number of Intensity Levels in an Image (a) Write a computer program capable of reducing the number of intensity levels in a image from 256 to 2, in integer powers of 2. The desired number of intensity levels needs to be a variable input to your program. (b) Download Fig. 2.21(a) from the book web site and duplicate the results shown in Fig. 2.21 of the book. Laboratory Projects_DIP3E 的02-02項目(PROJECT 02-02 Reducing the Number of Intensity Levels in an Image (a) Write a computer program capable of reducing the number of intensity levels in a image from 256 to 2, in integer powers of 2. The desired number of intensity levels needs to be a variable input to your program. (b) Download Fig. 2.21(a) from the book web site and duplicate the results shown in Fig. 2.21 of the book.)

最优控制中 动态规划的源程序 以两道题目为例(dynamic planning)

计算机视觉领域中的lbp特征提取的matlab代码(the matlab code of the lbp feature extraction in the computer vision domain)

training a perceptron (ANN)