qq1_3

Matlab实用程序 33-66是：界面设计篇(Matlab Utilities)

kalman filter with Forgetting factor RLS algorithm

MATLAB 编程有助于初学者进行学习，了解以及相应的运用(MATLAB programming will help beginners to learn, understand, and use of appropriate)

说明：  对已知房价数据做二次拟合，从而得出曲线方程，对做未来房价的粗略预测(Known to do on the secondary price data fitting curve equation to obtain, so the future price of crude forecast)

利用matlab进行kalman滤波的仿真(Carried out using kalman filtering matlab simulation)

对信号进行谱分析，并根据谱分析结果绘制谱分析结果图。(The signal spectrum analysis, and mapping of the spectral analysis of the results of spectral analysis graph.)

PAM pulse amplitude modulation , code matlab

通过c语言编程画出m序列的自相关及频谱图形，还包括扩频和解扩，(M squence can be described through C language )

可以对离散点进行波面泽尼克拟合，程序很好用(Wave surface Zernike fitting can be used for discrete points)

混沌的判断指标Lyapunov指数计算,对信号进行频谱分析及滤波，构成不同频率的调制信号。( Chaos indicator for Lyapunov index calculation, The signal spectral analysis and filtering, Constituting the modulated signals of different frequencies.)