MATLAB-Elastix-v2.0(beta)

在matlab中，实现图像旋转（两种方法：临近法、双线性法）(In matlab, the realization of image rotation (two methods: near the bilinear method))

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)

说明：  菲涅耳全息图的生成与重现(Fresnel hologram formation and reproducibility)

Mathematic Algorithm to make complexion of two images

无线传感器网络节点定位算法研究，APIT定位算法的源代码(Wireless sensor network node localization algorithms, APIT localization algorithm source code)

本程序基于一阶AR模型，u(n)=-0.99u(n-1)+v(n)的线性预测。白噪声v(n)方差0.995.FIR滤波器的抽头数为2.遗忘因子0.98.用RLS算法实现u(n)的线性预测。并附有仿真图片。。(This procedure is based on a first-order AR model, u (n) =-0.99u (n-1)+v (n) of the linear prediction. White noise v (n) the number of taps of the the variance 0.995.FIR filter 2. Forgetting factor 0.98. U (n) of the linear prediction using the RLS algorithm. With simulation Pictures. .)

Stochastic subspace identification method based on data-driven, slightly modified to identify structure of frequency and damping

基于GVF和VFC主动轮廓模型代码，代码采用matlab编写，另外有C语言编程提供更快运行速度(VFC based GVF active contour model and code, code written using matlab, another C programming language to provide faster speed)

处理信号的时频分析，解耦，恢复原信号，相控阵天线的方向图（切比雪夫加权）。( When processing a signal frequency analysis, Decoupling, restore the original signal, Phased array antenna pattern (Chebyshev weights).)

说明：  风机的数学模型，通过公式搭建风机的数学模型matlab程序，很实用。(The mathematical model of the fan, through the formula to build the mathematical model of the fan matlab program, is very practical.)