chaoliu

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).)

说明：  matlab数字滤波器设计,计算出参数便于dsp实现bandpa(Matlab digital filter design parameters calculated to achieve bandpass ease dsp)

计算一副图像的信息熵，如需计算多幅图像，只需修改名称即可(Calculating an image information entropy, calculated for multiple images, you can just change the name)

stft谱分解，已经过实际验证，效果很好(stft spectral decomposition, has been actually verified with good results)

this file which i get for kth nearest neigbour

常规模糊控制程序，有MATLAB编程和注解，可用于学习 (The example of fuzzy control)

利用kmeans进行图像分类的matlab的实现(The realization of matlab kmeans image classification)

RastriginDisc benchMark Function

《机器人控制系统与matlab仿真》第二章“机器人的PID控制”源代码(Robot control system matlab simulation robot PID control " source code)

列文伯格—马奎特算法的matlab实现程序(The Matlab program of the Levenberg-Marquardt algorithm)