How_to_use_FullBNT_toolbox

内容包括离散时间信号简介、随机变量和随机过程的基本知识、维纳滤波器的基本知识、误差性能曲面的性质、牛顿法、最陡下降法、LMS算法及各种改进算法、最小二乘算法等的介绍。(Include discrete-time signal profiles, random variables and a basic knowledge of stochastic processes, Wiener filter basic knowledge of the nature of the error performance surface, Newton method, steepest descent method, LMS algorithm and a variety of improved algorithms, least-squares algorithm such as introduction.)

hidden markov chain model

Weighted ELM for imbalanced datasets - Weighted-ELM W. Zong, G.-B. Huang, and Y. Chen, “Weighted extreme learning machine for imbalance learning,” Neurocomputing, vol. 101, pp. 229-242, 2013.

低频信号先进行放大，再调制解调，设计发射(Low-frequency signal is first amplified, and then modulation and demodulation, the transmitter )

模糊自适应PID控制和常规PID控制的仿真，对阶跃信号的仿真(Fuzzy adaptive PID control and conventional PID control simulation, the simulation of the step signal)

用自适应直方图来实现图像增强。属于计算机视觉作业(image enhancing with CLACHE)

good projet for bbeginners ey useful

Text animation using matlab

方向键←→控制方块的左右移动，方向键↑变形，方向键↓加速方块落下的速度(The direction key vs. control box and move around, the direction key up key down the direction of deformation, accelerate the speed of falling blocks)

基于基追踪（basis pursuit）对信号进行稀疏表示的算法(signal decomposition by basis pursuit...)