signal-modeling

图像用小波变换方法来进行分解，再重构，从而再去除噪声(images using wavelet transform method for the decomposition and reconstruction, thereby removing noise)

科斯塔斯环载波恢复，用来跟踪输入信号的载波频率(carrier recovery by costas loop)

Filter Gauss Low pass

matlab教程，适用于初学者，简明易懂。教程主要为matlab基础操作。(Matlab tutorial, it is suitable for beginners, concise, easy to understand. The main matlab tutorial for basic operations. )

tool of matlab to processing speech

一篇关于宽带MIMO-OFDM系统的文章，从最基本的系统结构，到复杂的信道估计等都有极其详细的论述，可以说代表了当今MIMO-OFDM系统研究的潮流和研究现状的总述！(one of the Broadband MIMO-OFDM articles from the most basic system structure, to complex channel estimation and others all have very detailed exposition It can be said on behalf of today's MIMO-OFDM system and the trend of the total study to the status quo!)

说明：  采用五点差分格式解决椭圆问题，这里是3个详例。(Using a five-point difference scheme to solve elliptic problems, here are three detailed examples.)

Guide to using the various background detector implementations

录入程序代码，并对该实验代码进行调试，检查程序代码中的语法和语义错误。 编写函数f（x）的代码如下： Romberg算法¨ function z=f(x) if (x~=0) z=sin(x)/x else z=1 end 备注：在实验代码中，首先输入必要的变量的值如下： a=0 b=1 tol=1e-8 待查询检查通过，开始输入执行代码 设置格式format short g查看u的值和sin（u）的值： (Input program code, and debugging code for the experiment to check the program code in the syntax and semantic errors. The preparation of a function f (x) of the code is as follows: Romberg algorithm ¨ function z = f (x) if (x ~ = 0) z = sin (x)/x else z = 1 end Note: In the experimental code, First, enter the necessary value of the variable is as follows: a = 0 b = 1 tol = 1e-8 pending inquiries, checking through, began to enter the implementation of the code format format short g see u, values and sin (u) values:)

由于小波及小波包技术可以将信号或图像分层次按小波基展开，所以可以根据图像信号的性质以及事先给定的图像处理要求确定到底要展开到哪一级为止，从而不仅能有效地控制计算量，满足实时处理的需要，而且可以方便地实现通常由子频带、层次编码技术实现的累进传输编码（即采取逐步浮现的方式传送多媒体图像）。这样一种工作方式在多媒体数据浏览、医学图片远程诊断时是非常必要的。另外，利用小波变换具有放大、缩小和平移的数学显微镜的功能，可以方便地产生各种分辨率的图像，从而适应于不同分辨率的图像I/O设备和不同传输速率的通信系统。相比之下，利用KL变换进行压缩编码，只能对整幅图像进行；而利用小波变换则能够比较精确地进行图像拼接，因此对较大的图像可以进行分块处理，然后再进行拼接。显然，这种处理方式为图像的并行处理提供了理论依据。 (As the little affected wavelet packet technology can signal or image stratified by wavelet and so on according to the nature of the image signal and the image processing requirements given in advance exactly sure on to what level, and so far not only can effectively control of calculation and meet the needs of the real-time process, and can be easily realized by sub-band usually coding technology, levels of the realization of the progressive transmission (that is, take gradually emerged coding the way multimedia image transfer). Such a way of working in multimedia data browse, medical image remote diagnosis is very necessary. In addition, by using wavelet transform has amplification, narrowing the mathematics of peace move microscope function can be easily produce all sorts of resolution image in order to adapt to different resolution in )