MATLABtech42

适用于OFDM的多径模型，注意：没有叠加高斯白噪该函数声(Multipath model for OFDM NOTE: the superimposed Gaussian white noise sound of the function)

说明：  实现多目标跟踪，在部分场景下可用，复杂环境和背景跳动较大时，慎用(achieve the multi-tracking in matlab,only used in some situations.)

说明：  对s进行小波分解，提取小波分解的低频系数，提取小波分解的各层高频系数，绘出各系数的图形(Wavelet decomposition of the s to extract the low frequency coefficients of wavelet decomposition to extract the layers of high-frequency coefficients of wavelet decomposition, the coefficients of the graphics drawn)

程序可以实现所有的汉明码的要求， （7，4）（15，11）等等都可以的

Connection system (QAM, PA, AWGN). Demodulation with BER computing.

用matlab对信号进行功率谱估计的几种方法(The signal using matlab several methods of power spectrum estimation)

估计随机信号的样本自相关序列。以及基本的信号处理程序代码(Estimated random sample of the signal autocorrelation sequence. And basic signal processing code)

Reconstruction of magnetic resonance images from data not falling on a Cartesian grid is a Fourier inversion problem typically solved using convolution interpolation, also known as gridding. Gridding is simple and robust and has parameters, the grid oversampling ratio and the kernel width, that can be used to trade accuracy for computational memory and time reductions. We have found that significant reductions in computation memory and time can be obtained while maintaining high accuracy by using a minimal oversampling ratio, from 1.125 to 1.375, instead of the typically employed grid oversampling ratio of two. When using a minimal oversampling ratio, appropriate design of the convolution kernel is important for maintaining high accuracy

Plot examples with codes in matlab

一个基于PCA_Nicolas的matlab编程，可以实现人脸识别的功能(Based on PCA_Nicolas of matlab programming, face recognition function can be achieved)