SCAN

本资源主要对矩阵分解中的LU分解、LDL’分解、乔列斯基分解，以及无约束最优化领域中的最速下降法、牛顿法、拟牛顿法的原理、步骤和算法进行了简要介绍，并对各种方法进行了Matlab编程实验，得到了较好的结果。 本资源包含了《矩阵分解及无约束最优化方法的原理和应用简介》文档以及其中用到的全部Matlab程序，非常适合初学者学习与研究。(The resources are mainly in the matrix decomposition LU decomposition, LDL decomposition, Cholesky decomposition, and unconstrained optimization field steepest descent method, Newton s method, the principle of quasi-Newton methods, procedures and algorithms are briefly introduced, and various methods of Matlab programming experiment, get a better result. This resource contains a matrix decomposition and unconstrained optimization methods Introduction to the principles and applications which uses all the documents and Matlab program, ideal for beginners learning and research.)

采用遗传算法实现天线阵波束形成，算法实现方便，便于操作。(The genetic algorithm is used to realize the antenna array beamforming algorithm, convenient, easy to operate.)

说明：  压缩感知（Compressive Sensing，CS），有时也叫成Compressive Sampling。相对于传统的奈奎斯特采样定理——要求采样频率必须是信号最高频率的两倍或两倍以上（这就要求信号是带限信号，通常在采样前使用低通滤波器使信号带限），压缩感知则利用数据的冗余特性，只采集少量的样本还原原始数据。(（Compressive Sensing，CS）)

This is a one-credit lab supplementing the three-credit junior-level DSP course 332:346 Digital Signal Processing . It consists of four hardware labs using the Texas Instruments TMS320C6713 DSP Starter Kit, and two MATLAB software labs. Lab begins in the week of February 3, 2014 for group A, and the week of February 10, 2014 for group B. Lab Schedule and Contents Lab-0 : Lab Guidelines - supplementary C-files Lab-1 : Introduction to TMS320C6713 and Code Composer Studio Lab-2 : Wavetable Generators, AM/FM Modulation Lab-3 : Delays, FIR Filtering, Circular Buffers Lab-4 : FIR Filtering Experiments Lab-5 : Digital Audio Effects Lab-6 : IIR Filtering Experiments Complete Lab Manual Spring-2011 Labs Spring-2012 Labs Spring-2013 Labs

这个程序可以实现一个正态总体参数的假设检验问题(This program can realize hypothesis test of a normal population parameter )

主程序arma2Ddemo是对模拟图像的2DAR和ARMA参数估计。(arma2Ddemo: See and run the demo arma2Ddemo for an example of 2D AR and ARMA parameters estimation from simulated images. - sim_ar2d: generation of simulated 2D AR process. - sim_arma2d: generation of simulated 2D ARMA process. - ar2d: solves 2D yule walker to estimate AR parameters - arma2d: estimation of 2D ARMA parameters. First step: estimation of the gaussian input by inv_ar2d, Second step: linear system solution to estimates simultaneously AR and MA parameters, as explained in [1]. - inv_ar2d: first step in arma2d. Filters through inverse filter 1/AR an AR process, to generate its innovation Gaussian signal. It is used here to estimate the Gaussian noise input to the ARMA 2D process, approximating the ARMA model to a high order AR model. - poles2coeff: converts poles chosen by user to AR or MA coefficients (support function) )

trapezoidal sums and example with sin-function

To Make Vectors of a Face

用Matlab开发的Turbbo码仿真程序源码 (The Turbbo code developed using Matlab simulation program source code)

understanding GPS KAPLAN Second edition