VRP

csc4111 a1 code soln matlab

这是规范化rgb彩色图像序列的光流场，用matlab代码编写，是我毕业论文的一个部分。(This optical flow is normalized rgb color image sequences optical flow,written in matlab code. It is part of my thesis.)

基于SystemView的汉明码编译码器的仿真(Based on the Hamming Code SystemView codecs Simulation)

一篇基于物理层MIMO OFDM 的研究论文，是大家入门的好东西(A MIMO OFDM based physical layer research papers, is a good thing we started)

实现对wav文件的FFT，拟合波形和识别DTMF，具体功能键实验报告(Wav files to achieve the FFT, waveform and fitting recognition DTMF, the specific function key test report)

Demonstration of the reproduction of a generalized trajectory through Gaussian Mixture Regression (GMR), when considering two independent constraints represented separately in two Gaussian Mixture Models (GMMs). Through regression, a smooth generalized trajectory satisfying the constraints encapsulated in both GMMs is extracted, with associated constraints represented as covariance matrices.

局部加权线性回归，解决非线性回归问题，可以在Matlab直接测试。(This code is the Locally Weighted Linear Regression,which is mainly used to cope with non-linear regression.)

对读入的两幅图像进行逐个像元比较，取其中最大或最小值形成新图像矩阵，输出。 已形成界面。可通过界面进行上述操作。(To read the two images pixel-by-comparison, the maximum or minimum value from which to form a new image matrix, the output. Interface has formed. Through the interface to carry out such operations.)

说明：  遗传算法的matlab实现，包括遗传各种操作的程序源码。(Genetic algorithm matlab realize, including a variety of operating procedures for the genetic source.)

波达方向（DOA） 估计的基本问题就是确定同时处在空间某一区 域多个感兴趣的信号的空间位置(即多个信号到达阵列参考阵元的方 向角)。最早的也是最经典的超分辨率(DOA)估计算法是著名的多信号 分类（Multiple Signal Classification） 法,简称 MUSIC 算法,它是 一类经典的基于特征结构分析的空间谱估计方法。该算法利用了信号 子空间和噪声子空间的正交性,构造空间谱函数,通过谱峰搜索,检测 信号的 DOA。(The basic problem of DOA estimation is to determine the simultaneous location in a certain region of space. Spatial position of multiple interested signals in the domain (i.e. the direction of multiple signals reaching the array reference elements) Directional angle). The earliest and most classical super-resolution (DOA) estimation algorithm is the well-known multi-signal.Multiple Signal Classification, referred to as MUSIC algorithm, is A classical spatial spectrum estimation method based on eigenstructure analysis. The algorithm utilizes signals. The orthogonality of subspace and noise subspace, the construction of spatial spectral function, through peak search, detection DOA of signal.)