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3下载:
此程序为添加白噪声子程序,可以实现通信系统添加高斯白噪声,This procedure for adding white noise subroutine, you can achieve the communication system to add Gaussian white noise
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用中心极限定理产生高斯白噪声,能直接运行,可以看出效果图-Central limit theorem with Gaussian white noise have a direct run, one can see the effect of map
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DSB-SC信号的生成与解调
1) 用离散(DSP)的方法生成DSB信号
2) 载波频率为150KHz,音频为500Hz和2000Hz的混合音。
3) 加入高斯白噪声
(4) 语音信号
的传输。
改变抽样频率和量化台阶大小,观察重建信号以及量化噪声信号的波形;对于语音信号主观评价声音质量的变化。
-DSB-SC signal generation and demodulation 1) Discrete (DSP) methods to generate
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系统 辨识文件夹内是产生高斯白噪声,m序列和最小二乘法的一次完成算法,递推算法,限定记忆法的程序。系统仿真文件夹内是对系统线性和非线性的建模和仿真程序。-System folder on system identification is to generate Gaussian white noise, m sequence and a complete least-squares method algorithm, recursive algorithm, limited memory met
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利用FFT估计正弦信号的频率,要估计一个叠加了高斯白噪声的正弦信号 的频率 ,可以通过对x(n)做傅里叶变换,得到频谱图,找出幅度的最大值对应的频率值 ,进行多次变换,求出均方误差 。改变信噪比SNR,通过仿真可以得出随着信噪比增加,均方误差减小。-Sinusoidal signal using FFT frequency estimation, to estimate a Gaussian white noise superimposed on the frequency of sinusoi
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labview先产生正弦波,叠加高斯白噪声,然后通过滤波处理,回复原正弦信号,欢迎参阅。-labview to generate sine wave, superimposed Gaussian white noise, and then through the filter processing, responding to the original sinusoidal signal, please refer to.
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matlab实现系统辨识 采用LMS(最小均方误差)估计 随机信号均值为0方差为1,加入高斯白噪声-matlab for system identification using LMS (least mean square error) estimation of random signal with mean 0 variance 1, by adding Gaussian white noise
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高斯白噪声无线通信信道下的误码率仿真,希望对你的学习有用-Gaussian white noise of wireless communication channel under BER simulation, you would like to learn useful
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LDPC经过高斯白噪声信道的的编译码仿真程序-LDPC Gaussian white noise through the channel of the codec simulation program
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关于matlab信道仿真中经常用到的信道噪声函数,包括高斯白噪声,瑞利信道,赖斯信道的仿真-Channel simulation on matlab frequently used function of channel noise, including Gaussian white noise, Rayleigh Road, Lai Sixin Road Simulation
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用双谱和小波变换去除信号中加性高斯噪声的相关程序
1.实现单个变量的双谱分析程序
2.用傅立叶反变换求自相关函数的程序
3.用fft求取喜好频谱、功率谱、均方根谱、对数谱的程序
4.读取.wav语音信号后用小波去加信白噪声的程序
5.用各种小波和阀值对同一信号去加性噪声效果比较的程序
-Double-spectral and wavelet transform to remove the signal plus Gaussian noise procedures 1. T
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随机信号处理的仿真,一个余弦信号加高斯白噪声,用自相关函数恢复。-Random signal processing simulation, a cosine signal plus Gaussian white noise with autocorrelation function recovery.
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能够产生高斯白噪声,有色噪声和一般噪声。用于matlab仿真实验。-Generated Gaussian white noise, colored noise and general noise.
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信号为两个正弦信号加高斯白噪声,用levinson递推法进行功率谱估计。-Signal for two sinusoidal signal plus Gaussian white noise, with levinson recursive power spectrum estimation method.
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一、 本程序采用16QAM调制方式,对一串2进制信源进行调制,采用(7,4)循环码对信源做信道编码,用升余弦滚降函数进行基带调制,再调到高频信道;在信道上加入高斯白噪声,运用匹配滤波器解调,画出解调星座图,运用最小欧氏距离译码判决,再对信号进行信道解码,画出采用信道编码技术和不采用信道编码技术的误比特率图。-First, this program uses 16QAM modulation mode, for a string of two binary source is modulated,
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关于高斯白噪声下信源数目的估计程序-On the Gaussian white noise source under the estimate of the number of procedures
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求根MUSIC算法,仿真中使用的阵列为均匀阵列,阵列数为8,接收信号数为2个,噪声为高斯白噪声。此算法是对经典MUSIC算法的改进,估计精确度更高。-Root MUSIC algorithm, the use of simulation for the uniform array of arrays, arrays of 8 to receive the signal number 2, noise is Gaussian white noise. This algorithm is the c
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本文将现实中采集到的一段语音加上了高斯白噪声,利用了LMS算法,将噪声滤除,仿真效果良好-This article will be collected in reality a section of voice coupled with a Gaussian white noise, using the LMS algorithm, the noise filtering, simulation results
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通信系统仿真与分析中经常用到的高斯白噪声的产生方法-Communication System Simulation and Analysis in the frequently used Gaussian white noise, the method of
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SSB单边带调制信号
设定原始信号并对其进行单边带调制,保留下边带信号,采用高斯白噪声。-SSB single sideband modulation signal set the original signal and its single-sideband modulation, to retain the bottom band signal, using Gaussian white noise.
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