speckle-noise

小波变换及其MATLAB工具的应用，MATLAB实现，还不错，希望喜欢 ！(Wavelet Transform and Its Application of MATLAB tools, MATLAB realize, well, I hope like it!)

一个简单正弦信号经过匹配滤波后计算SNR，并绘制时频域图片(Calculated a simple sinusoidal signal after matched filtering SNR, and draw the frequency domain picture)

In this paper, we describe a novel approach for reducing the power consumption and complexity of a multiband orthogonal frequency-division multiplexing (MB-OFDM) ultrawideband (UWB) system by applying ideas from pulsed UWB ystems. The approach is quite general and applicable to many other systems. Unlike the MB-OFDM system, the enhancement that we propose uses pulses with duty cycles of less than 1 as the amplitude shaping pulse of orthogonal frequency-division multiplexing (OFDM) modulation.

说明：  輸入一個數字判斷質數,範例輸入 : 2 3 25 範例輸出 : Yes Yes No(Enter a number to determine prime number, model type: 2325 Sample Output: Yes Yes No)

《高等光学仿真》MATLAB源程序 的书籍的源代码，里面有很多例子("Higher optical simulation" MATLAB source book source code, there are many examples)

这是一个100个MATLAB 实例程序，也是从网上搜索到的，对大家有用才好。(This is a 100 MATLAB Examples of procedures, but also from the Internet to search for useful everyone to do.)

2FSK数字调制通信系统）的详细代码！！可以用于MATLAB上得出图像。(2FSK digital modulation communication system) more code! ! MATLAB can be used to draw images on.)

kmeans algorithm used for image processing

研究了利用混沌相变进行弱信号检测的理论及仿真试验( 对基于)振子初值敏感性检测弱信号的方法分 析后指出，过渡过程会影响检测性能，提出一种改进的弱信号检测方法( 对仿真输入噪声生成和仿真步长选择进行 研究后建立了仿真模型，在典型噪声背景下检测弱正弦信号( 实验结(Studied the use of chaotic phase transitions for weak signal detection theory and simulation test (based on) the sensitivity of oscillator initial value method of weak signal detection analysis pointed out that the transition process will affect the detection performance, an improved method of weak signal detection ( on the simulation input noise generation and simulation step size selection study established a simulation model, in a typical background noise detection of weak sinusoidal signal (experimental colorectal)

该算法是用正交多项式来求最小二乘拟合多项式。(This algorithm is to use orthogonal polynomials to seek least-squares polynomial fitting.)