framefreeoscillation

DIRECT全局优化—无约束，基于MATLAB编制，可直接编译(DIRECT global optimization- non-binding, based on MATLAB preparation, can be directly compiled)

code for comparing prey-predators

用双谱和小波变换去除信号中加性高斯噪声的相关程序 1.实现单个变量的双谱分析程序 2.用傅立叶反变换求自相关函数的程序 3.用fft求取喜好频谱、功率谱、均方根谱、对数谱的程序 4.读取.wav语音信号后用小波去加信白噪声的程序 5.用各种小波和阀值对同一信号去加性噪声效果比较的程序 (Double-spectral and wavelet transform to remove the signal plus Gaussian noise procedures 1. To achieve a single variable pairs of spectral analysis procedures 2. Using Fourier inverse transform procedures for seeking self-correlation function 3. To strike a preference to use fft spectrum , power spectrum, RMS spectrum, several spectra of the procedure 4. read. wav audio signal with wavelet plus a letter to the white noise process 5. with a variety of wavelet and threshold on the same signal to additive noise Comparison program)

Transmission Control Protocol (TCP/IP) communications are used to send data from one computer to another over a network or from one application to another within a single computer. The jtcp.m program uses Matlab s ability to call Java code to enable it to send and/or receive TCP packets. One Matlab session can communicate with another Matlab session (on the same machine or over the network) or it can communicate with a completely different program (again, on the same machine or over the network). The jtcp.m program is basically just a friendly wrapper for Rodney Thomson s "example" TCP/IP code(Transmission Control Protocol (TCP/IP) communications are used to send data from one computer to another over a network or from one application to another within a single computer. The jtcp.m program uses Matlab' s ability to call Java code to enable it to send and/or receive TCP packets. One Matlab session can communicate with another Matlab session (on the same machine or over the network) or it can communicate with a completely different program (again, on the same machine or over the network).)

Often we are interested to see how the adaptation of the coeffi cients works or how the error behaves over time. Therefore we need the function [y,e,c]=lms2(x,d,N,mu) which provides us more output arguments

用Matlab实现高斯列主元消去法解非齐次线性方程组(Matlab implementation by principal component Gaussian elimination method for solving the column non-homogeneous linear equations)

KMEANSK Performs K-means clustering given a list of feature vectors and k The argument k indicates the number of clusters you want the data to be divided into. data_vecs (N*R) is the set of R dimensional feature vectors for N data points. Each row in data_vecs gives the R dimensional vector for a single data point. Each column in data_vecs refers to values for a particular feature vector for all the N data points. The output data_idxs is a N*1 vector of integers telling which cluster number a particular data point belongs to. It also outputs centroids which is a k*R matrix, where each rows gives the vector for the cluster center. If we want to segment a color image i into 5 clusters using spacial and color information, we can use this function as follows:

包含7个常的AR模型仿真算法，matlab编写(AR model simulation algorithm consists of seven normal, matlab write)

改进的基于区域的图像分割算法，对含有噪声的图像非常适用！在matlab6.5下顺利编译通过 (Improvement on the region's image segmentation algorithm for noisy images very well! In matlab6.5 smoothly through the compiler)

分析并实现了奇异谱斜率的方法，并把该方法用到了时域信号的检测。(Singular spectrum analysis and implementation of the slope method, and to the method used in the time-domain signal detection.)