lvbotexing

二分法程序,可以用他来求解非线性放成的跟问题，精度高，速度快(ke yi jie jue er fen fa qiu jie de wen ti ,li yong er fen fa jie jue fei xian xing fang cheng qiu gen de wen ti .su du kuai jing du gao )

用MATLAB实现动态聚类或迭代自组织数据分析，有PMUSIC 校正前和校正后的比较，使用起来非常方便，信号维数的估计，欢迎大家下载学习，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，基于kaiser窗的双谱线插值FFT谐波分析，独立成分分析算法降低原始数据噪声。 ( Using MATLAB dynamic clustering or iterative self-organizing data analysis, A relatively before correction and after correction PMUSIC, Very convenient to use, Signal dimension estimates, Welcome to download the study, PV modules contain, MPPT module, BOOST module, inverter module, Dual-line interpolation FFT harmonic analysis kaiser windows, Independent component analysis algorithm reduces the raw data noise. )

FDWT (forward discrete wavelet transform) use 5/3 filter and 9/7 filter matlab file

说明：  通信系统中的数字信号处理仿真程序， 内容很多，从source forge上下来的， 我用来研究信道仿真的(Communication System digital signal processing simulation program, many things, from the source to come down to the forge, I used to study channel simulation)

编写K-均值聚类算法程序，对下图所示数据进行聚类分析(选k=2)(prepare K-means clustering algorithm, the data shown in the chart below cluster analysis (EAC k = 2))

This is an implementation of the algorithm described in our paper [1]. The input is any map generated by saliency detection algorithms like Itti-Koch [2] or GBVS [3]. The algorithm outputs a binary mask without requiring a threshold for the saliency map. More details about it are described in our paper.

通过改变想要处理的帧，和预测器阶数，对原始语音帧和预测语音帧作一个比较，并作出短时谱和lpc谱，最后作倒谱比较。(By changing the processing of the desired frame, and the predictor order, the original speech frame and the predicted speech frame to make a comparison and to make short-term spectrum and the lpc spectrum, cepstrum last for comparison.)

小波包分析提取振动信号中的特征频率，有小波分析的盲信号处理，针对EMD方法的不足。( Wavelet packet analysis to extract vibration signal characteristic frequency, There Wavelet Analysis Blind Signal Processing, For lack of EMD.)

自己写的读取视频，提取关键帧和帧差源程序(Read write their own video, extract the source key frame and frame difference)

球型机器人路径跟踪算法。 路径跟踪带带干扰 非线性PID算法(1. Circle following Parameter selection：Euler Fixed-step size:0.001 2. Run: first "robot_sim" and then "robot_plot" )