giuyai_v35

说明：  用Matlab编写的用Hooke-Jeeves方法求函数极小点程序(Written with Matlab using Hooke-Jeeves method of procedure demand function minimizer)

仿照着《小波去噪中软硬阈值的一种改良折衷法》一文写的程序，对比了软、硬以及软硬阈值折衷法的信噪比及均方根误差。仿真出来之后，原信号的信噪比是负的，不知道为什么？均方根误差的值也比较大，不知何解？信噪比和均方根误差是参照《基于matlab的小波去噪仿真》：吴伟，《信息与电子工程》 一文写的(Modeled on the written procedures of the hard and soft threshold wavelet de-noising an improved compromise " , compared to the soft and hard compromise between the hard and soft threshold signal-to-noise ratio and root mean square error. Out of the simulation, the signal-to-noise ratio of the original signal is negative, do not know why? The value of the root mean square error is relatively large, do not know why? Signal-to-noise ratio and root mean square error with reference to the wavelet denoising matlab-based simulation: Wu Wei, " Information and Electronic Engineering" written)

线性自抗扰算法样例；采用matlab脚本文件实现(Examples of linear ADRC algorithm)

本例对LMS算法和最陡下降沿算法进行了实现和比较(The cases of the LMS algorithm and the steepest falling and comparison of algorithms for achieving)

In theory, this algorithm tends to provide good generalization performance at extremely fast learning speed.(The experimental results based on a few artificial and real benchmark function approximation and classification problems including very large complex applications show that the new algorithm can produce good generalization performance in most cases and can learn thousands of times faster than conventional popular learning algorithms for feedforward neural networks)

Investigat abuot CODE F28335

noise cancellation using matlab

说明：  蓄电池双向buck-boost变换器，可以仿真，(16/5000 Matlab draw three-dimensional sphere, coordinate axis)

ex5_11 频率采样技术：低通，朴素法 ex5_12 频率采样技术：低通, 最优法T1 & T2 分别用朴素法和最优法，并且在时域和频域进行比较。(ex5_11 sampling frequency: low-pass, a simple method ex5_12 sampling frequency: low-pass, optimal method T1 & T2, respectively, and the optimal use of a simple law, and in time domain and frequency domain comparison.)

All about the digital modulations ASK, FSK, QPSK