design

本文档对MATLAB仿真做了详细全面的介绍，适合初学者学习使用(This document is a detailed simulation of the MATLAB comprehensive introduction for beginners to learn to use)

波场快照二阶时间二阶空间无边界条件，matlab代码，欢迎交流学习(Second-order time second-order wave field snapshot space without boundary conditions)

用MATLAB函数fir1设计一个具有如下指标的线性相位FIR带通滤波器：阻带截止频率为0.55pi 和0.85pi，通带截止频率为0.65pi和 0.75pi，最大通带衰减为0.2dB，最小阻带衰减为42dB。分别利用下面的窗函数来设计滤波器：汉宁窗、汉明窗、布莱克曼窗。对于每种情况，给出其冲激响应系数并画出设计的滤波器的幅频响应。(Designed with a MATLAB function with the following indicators fir1 linear phase FIR band-pass filter: stopband cutoff frequency for the 0.55pi and 0.85pi, passband cutoff frequency of 0.65pi and 0.75pi, maximum passband attenuation is 0.2dB, minimum stopband attenuation of 42dB. Window functions were used to design the following filter: Hanning, Hamming window, Blackman window. For each case, given its impulse response filter coefficients and draw the design magnitude response.)

call matlab function from C++.zip

说明：  以450,545,700nm三个波长为三基色画出的麦克斯韦颜色三角形，求其中任意一点的光亮度比(The Maxwell color triangle is drawn with three wavelengths of 450545700nm as the three primary colors, and the brightness ratio of any point is calculated)

Code to make edge detection extract this file and then read readme.txt file

一个实现turbo码的编码和解码，是一个递归卷积码的编解码的程序源码。(A turbo code to achieve the encoding and decoding, is a recursive convolutional encoding and decoding of the program source code.)

说明：  对图像进行二值化处理，是图像预处理的重要步骤内含4种不同的方法(The binary image processing, is an important step in image pre-processing consists of 4 different ways)

经典的香农采样定理认为,为了不失真地恢复模拟信号,采样频率应该不小于奈奎斯特频率(即模拟信号 频谱中的最高频率)的两倍.但是其中除了利用到信号是有限带宽的假设外,没利用任何的其它先验信息.采集到 的数据存在很大程度的冗余.Donoho等人提出的压缩感知方法(Compressed Sensing或Compressive Sampling, CS)充分运用了大部分信号在预知的一组基上可以稀疏表示这一先验信息,利用随机投影实现了在远低于奈奎斯 特频率的采样频率下对压缩数据的直接采集.该方法不仅为降低采样频率提供了一种新思路,也为其它科学领域 的研究提供了新的契机.该文综述性地阐述了压缩感知方法的基本原理,给出了其中的一些约束问题和估计方法, 并介绍压缩感知理论的相关问题———矩阵填充,最后讨论了其未来可能的应用前景. (According to the conventional Shannon s sampling theorem,in order to represent the analog signal,the sampling rate should not be less than twice the Nyquist sampling rate.Howev- er,this theorem only makes use of the bandwidth information.As a result,the collected data contain many redundant information.The recently proposed sampling method,compressed sens- ing or compressive sampling(CS),can collect compressed data at the sampling rate much lower than that needed in Shannon s sampling theorem by exploring the compressibility of the signal. This paper presents a review on the basic theory of CS.Some of the restrictions and recovery methods in CS are also discussed.Finally,some potential applications based on CS are presented. )

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