lms-rls-mlse

方便初学者！插值与拟合的matlab实现！ 可方便同学做课设！(Easy for beginners! Interpolation and fitting matlab realize! Classes students can be easily set up to do!)

说明：  一个FLSAH翻书动画源码很好很实用。。。。。。。。(A good source FLSAH open book animation very practical. . . . . . . .)

说明：  任意给出两城市，找出两城市间的最短路径。还可以限定载重量，在满足载重量要求条件下，找出最短路径(Arbitrary given the two cities, two cities to find the shortest path. Can also limit the load to meet load requirements, find the shortest path)

The Matlab Code present the development of an intelligent PID controller using Cultural Artificial Bee Colony Algorithm CABCA. The Normative and situational Knowledge in cultural algorithm were first used to guide the evolution and direction of ABC. thereafter the develop controller was used in the position control of DC motor.

IEEE4,14,30,57,118,300总线matlab代码(IEEE4,14,30,57118300 bus matlab code)

整数小波变换与图像压缩，逆变换源码，实现行、列逆变换，奇偶行列逆重排(Integer wavelet transform and image compression, inverse transform source code to achieve row, column inverse transform, rearrangement of odd and even ranks of the inverse)

斯坦福大学公开课第三课中涉及的局部加权线性回归，用matlab实现了在不同带宽下的对比(Stanford open class third lesson involved locally weighted linear regression, using matlab to achieve a comparison of different bandwidths)

心电信号波形的自动检测算法，QRS波群及特征，使用麻省理工心率失常数据库(Automatic detection algorithm ECG waveform, QRS wave group and characteristics, using MIT arrhythmia )

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).)

this code implementation radar.