matlab_builder_0ivwbt

wonderfull sourcne code for weka tools mential

matlab code for ESPRIT algorithm for AOA

说明：  利用提升的二代小波，对图像进行去噪处理，通过不同的去噪过程比较，显示优势(Used to enhance the second generation wavelet, the image denoising, denoising process through different comparison shows advantages)

三维的分数阶傅立叶变换，用于非平稳信号处理(the 3D Fractional Fourier Transform)

根据伪随机序列理论，由混合同余法产生均匀分布的随机数，进而根据中心极限定理来产生高斯噪声。 分析所产生的均匀分布和高斯分布随机信号的均值、方差、自相关等数字特征，估计其概率密度函数并进行分析，估计其功率谱密度并进行分析。说明该高斯噪声是否符合白噪声特性。 对该高斯噪声进行FIR低通滤波，估计输出低通型限带白噪声的功率谱、相关时间等，并结合白噪声通过线性系统相关理论来进行分析。 (According to the theory of pseudo-random sequence, a uniformly distributed random numbers by mixed congruential method to generate Gaussian noise, and then according to the central limit theorem. Produce a uniform distribution of the analysis and the mean of the Gaussian distribution random signals, variance, since the digital characteristics of the correlation, the probability density function is estimated and analyzed, it is estimated that its power spectral density, and analyzed. The Gaussian noise is in line with the characteristics of white noise. FIR low pass filter of the Gaussian noise, the estimated output of low-pass type band-limited white noise power spectrum, time, etc., combined with the white noise to be analyzed by linear system theory.)

implementation of notch filter

Tutoriel MATLAB, The integrated using Matlab is very effective, learn to use the basics.

Sines. Sum sines. Every operations with sines and cosines.

一种新的符号定时和载波频率同步算法,该算法将OFDM符号分成几部分。它使用相关性和积累在几个OFDM同步算法对OFDM系统基于试点,使用前言快速、准确获取信号,在有限的时间建立同步,利用导频跟踪同步信息(A new symbol timing and carrier frequency synchronization algorithm is presented and the algorithm divides the OFDM symbol into several parts. It uses correlation and accumulation in several OFDM a synchronization algorithms for OFDM system based on pilot, using the preamble to fast and accurate acquire signal, establish synchronization in the limited time, and using pilot to track synchronization information)

说明：  对心电信号进行预处理，肌电、工频干扰、相位漂移滤除，为后续分析做准备(The ECG signal is preprocessed, and the EMG, power frequency interference and phase drift are filtered out to prepare for the subsequent analysis)