chirp-signal-parameters-estimation-

说明：  伪随机码或称PN码，是扩频通信中不可缺少的一种序列。扩频通信，简单的说来就是通过一组相关性很强的伪随机序列，使原有的信号按照伪随机序列的特性出现。从波形上看，原有信号完全淹没于随机的噪声中，达到隐藏信号和抗干扰的目的。接受方只要有相同的伪随机序列，就可以通过伪随机序列很强的相关性将信号还原出来。而m序列，是扩频系统中最长用的伪随机序列。下面的代码就是基于matlab的生成m序列的代码，通过改变初始多项式的值，就可以生成不同阶数的m序列。(Pseudo-random code or PN code, spread spectrum communication is indispensable to a sequence. Spread spectrum communication, a simple to say that the adoption of a group of highly related to pseudo-random sequence, so that the original signal in accordance with the characteristics of pseudo-random sequence there. From the wave point of view, the original signal completely submerged in the random noise to hide the purpose of signal and interference. As long as the recipient has the same pseudo-random sequence, the pseudo-random sequence can be a strong correlation to restore the signal out. And m sequence spread spectrum system is the longest of the pseudo-random sequence used. The following code is generated based on m sequences of matlab code, by changing the value of the initial polynomial, we can generate a different order of the m sequence.)

This application solves the Euler incoming supersonic flow around a cylinder by a finite volume method. It was developed at Massachusetts Institue of Technology.

用于基于matlab的小波分析（去噪，重构，低频高频分解），对小波的分析具有十分重要的作用。(Based on matlab wavelet analysis (denoising, refactoring, low frequency high frequency decomposition), and the wavelet analysis plays an important role.)

高斯白噪声序列的产生-使用瑞利分布， C语言产生1000个点的高斯白噪声序列。(Gaussian white noise sequence to produce- produce 1000 using a Rayleigh distribution point Gaussian white noise sequence)

实现降低OFDM的峰均比的源代码，包括SLM PST算法。(OFDM PAPR reduction achieved in the source code, including SLM PST algorithm.)

说明：  在传统PSO算法的基础上，对其进行改进。该源程序如下(Particle Swarm Optimization)

可以用来求信号的均值，滑动系数可以进行更改，速度很快(Can be used to request the signal mean sliding coefficient can be changed fast)

16QAM实现程序，实现其星座图识别，调制和解调，并加载在高斯白噪声信道上(16QAM to achieve the program achieve its constellation identification, modulation and demodulation, and load in the white Gaussian noise channel)

使用递推极大似然估计法辨识系统参数,这是《系统辨识》这门课程的程序，希望大家（特别是上这门课需要写论文的同学）能够用得上(Using maximum likelihood estimation method recursive identification system parameters, this is the " system identification" procedure for this course, I hope you (especially on this course requires students to write papers) to the lingua franca of)

algoritmo de minimos cuadrados