搜索资源列表
QPSK信号信噪比(matlab)
- QPSK信号信噪比(matlab)
基于最大信噪比的盲信号分离
- 基于最大信噪比的盲信号分离
segsnr.利用matlab进行语音信号的信噪比求解
- 利用matlab进行语音信号的信噪比求解。。,clc clear x=wavread( x1 ) y=wavread( y1 )
ML.rar
- 该算法是经典的信噪比估计算法——最大似然估计算法，利用接收信道的先验概率密度函数，ML法能够很好的估计信号的信噪比,The algorithm is a classic signal to noise ratio estimation algorithm- maximum likelihood estimation algorithm, using the a priori receiver channel probability density function, ML method can
matched_filter.rar
- 匹配滤波的实际仿真程序。分别对宽带和窄带信号进行了仿真，并且求的滤波后信号的信噪比。,Matched filtering of the actual simulation program. Separately for broadband and narrowband signals, simulation, and after filtering for signal-noise ratio.
zhengxianfft
- 正弦信号进行傅里叶变换，估计其在不同信噪比下的均值方差，并画出图形-Some interpolated Discrete Fourier Transform (DFT) methods are analyzed and estimate the different frequency under the vary SNR.
FFT
- 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
snr_serMatlab
- 数字通信系统中采用基带传输和频带传输[ 1, 2 ] ,在抽样判决器之前,信号叠加了信道噪声. 本文利用 Matlab软件仿真[ 3, 4 ]分析了在判决器前叠加了高斯噪声后,信噪比与系统的误码率之间的关系.-Digital communication system using baseband transmission and band transmission [1, 2], in a sample before the decision device, the signal super
EVM
- 该算法是经典的信噪比估计算法——误差矢量幅值法，通过计算接收信号中同相分量和正交分量的二、四阶矩，该算法能够很好的估计信号的信噪比-The algorithm is a classic signal to noise ratio estimation algorithm- the error vector magnitude method, by calculating the received signal with the phase component and quadrature com
add_noising
- my_noise文件是已知信号方差，加入信号噪声，可以加入高斯噪声，淑盐噪声,等其他噪声十分有用 其他两个函数时加入噪声信噪比SNR,但是有一点,这种方法并不准确,不能保证加入噪声信噪比为SNR,实际测试中可以看出,但是可以加入相同的信噪比的噪声-my_noise document is known to signal variance, by adding signal noise, Gaussian noise can be added, suk salt noise, noise, a
elint
- 这是一本关于电子情报雷达信号分析的电子版，主要内容包括电子情报的特征和基础、模拟和数字系统的信噪比考虑、信号功率、极化、波数分析、天线扫描分析、脉内分析、脉冲重复间隔分析、载频分析、脉冲串去交错、确定elint参数的极限以及elint数据文件 -This is an electronic intelligence on the radar signal analysis of the electronic version, the main contents include the char
final
- 小波变换处理带噪语音信号，对于低信噪比的情况下相当有效，直接改文件名就可完成-Wavelet Transform of Noisy Speech signal processing for low SNR case quite effectively, direct to the file name can be completed
bijiao
- 阵元间隔为半波长的均匀分布16元线列阵，利用均匀加权常规波束。远场有5个互不相关的目标源发射信号，每个源相对基阵的方位分别为-40，-42，-5，30和33，且每个源信号到达基阵时的信噪比相等，均为10dB。分别对波束域和阵元域MUSIC算法进行比较。 -Array element spacing of half wavelength for the uniform distribution of 16 per linear array, using conventional beam ev
capon-beamforming
- capon波束形成是阵列信号处理的经典算法，该算法用于抑制干扰噪声，提高期望信号的信噪比。 本人用VC6.0实现了该算法，同时在该程序里提供了比较多的用于数值计算的C代码，如特征值分解等。-capon beamforming is a classic array signal processing algorithm used to suppress noise interference and improve signal to noise ratio of desired signal
test
- 自己编写的语音信号的采集，fft变换（两种），以及信噪比的计算！希望对大家有所帮助！-I have written the speech signal acquisition, fft transform (two kinds), and the calculation of signal to noise ratio! We want to help!
小波降噪Matlab
- 设定信噪比和随机数种子，使用确定阈值、软阈值由一维小波函数对信号实施降噪。
信道化信噪比程序
- 16个通道，16倍抽取，仿真结果是复信号输入情况下，将信号带宽分成了16路，采取F=2的方式，即采用1/2混叠的方式。信噪比计算
SNR_estimation
- 采用子空间法进行信号信噪比盲估计，该方法无需任何先验知识，使用范围大。(The subspace method is used to estimate the signal to noise ratio (SNR) blindly. This method does not require any prior knowledge and has a wide range of applications.)
神经数据SNR计算
- 计算神经信号各通道神经元的spike信噪比，仅限Cerebus采集的信号(calculate the SNR of each spike signals which recorded by Cerebus system)
Denoisewp
- 运用小波包分解功能对含噪信号降噪，剔除干扰噪声，提高信号信噪比。(The function of wavelet packet decomposition is used to denoise the noisy signal, eliminate the interference noise and improve the signal-to-noise ratio.)