e-greedy

基于28335的双路bUCK变换器控制程序(Based on 28,335 dual bUCK converter control procedures)

高阶谱分析工具，包含所有分析函数，快来下吧(High-order spectral analysis tools, including all the analysis functions)

说明：  基于最小二乘法的曲线拟合，m文件带有仿真数据(Based on least squares curve fitting, m file with the simulation data)

GMSK的调制解调算法，码长为8的信源长度，注释很清楚(modulation and demodulation of GMSK)

用布莱克曼窗设计数字带通滤波器,讲解了窗函数的基本原理，设计的过程等(The Blackman window design digital band-pass filter, to explain the basic principles of the window function, design process)

利用拉普拉斯原理进行图像像素域的融合，基于MATLAB编写啊(The principle use of Laplace image pixel-domain integration, based on the MATLAB prepared ah)

说明：  TFBSS是一种基于短时傅里叶时频分析的盲源分离算法，算法基于卷积混合。处理非平稳源信号。(TFBSS performs Blind Source Separation of (over)determined multiplicative mixtures of non-stationary real valued sources. TFBSS is based on the joint-diagonalization of whitened and noise-compensated Spatial Time-Frequency Distribution (STFD) matrices of the observations, corresponding to single auto-terms positions, as described in: C. Févotte and C. Doncarli. "Two contributions to blind source separation using time-frequency distributions", IEEE Signal Processing Letters, 2004. IEEE Signal Processing Letters, vol. 11, no. 3, Mar. 2004. pdf and A. Holobar, C. Févotte, C. Doncarli, and D. Zazula. "Single autoterms selection for blind source separation in time-frequency plane". In Proc. 11th EUSIPCO, Toulouse, France, 2002 (Special Session on Source Separation). pdf )

Question 1.3 Sullivan

This function calculates corrected false nearest neighbour.

被控对象在系统单神经元自适应PID控制下的阶跃响应，并和传统PID进行比较(Charged object in the step response of the system single neuron adaptive PID control and conventional PID to compare)