搜索资源列表
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- 数字调相信号的生成,已经分别提供指定信噪比下以及随机噪声的背景下的情况-The generation of the digital phase-modulated signal, respectively provided specified SNR as well as the context of random noise
matlab-add-Gaussian-white-noise
- 描述如何在信号中添加白噪声和已知信噪比的高斯白噪声!-Describe how to add white noise in the signal and known SNR Gaussian white noise!
LFM
- LFM线性调频波的MATLAB仿真 利用matlab软件设计匹配滤波器。具体包括: 1):阐述脉冲压缩(匹配滤波)的基本原理; 2):输入信号为线性调频信号,存在的噪声信号为白噪声; 3):通过脉冲压缩处理,讨论输出信噪比的改善。 -The the LFM chirp wave MATLAB simulation using matlab software design matched filter. Specifically including: 1): elaborat
xinzaobitexing
- 分别对线性调频信号、非线性调频信号、连续波信号、频率编码信号和相位编码信号的进行了信噪比特性分析,较为有用的程序,与大家分享-Chirp signal, non-linear FM signal, continuous wave signal frequency coded signal and phase encoded signals were signal-to-noise ratio characteristic analysis, a more useful program, to s
1
- 信号检测概率随信噪比变化的仿真与理论结果-Signal detection probability with SNR change simulation and theoretical results
Signal-demodulation
- 已调信号经过AWGN信道,解调器输入信噪比为100,绘制加性噪声后的接受信号时间波形,频谱,解调信号的时域波形。-Modulated signal through the input SNR AWGN channel, a demodulator 100, drawing the acceptance signal after the time waveform of additive noise, the spectrum, the demodulated signal of the time
noise-mudulation
- 根据干扰信号波形样式的不同,压制性干扰可分为噪声调幅干扰、噪声调频干扰、噪声调相干扰。就是用噪声或类似噪声的干扰信号遮盖或淹没有用信号,阻止雷达检测目标信息。它的基本原理是:任何一部雷达都有外部噪声和内部噪声,雷达对目标的检测是在这些噪声中进行的,其检测又是基于一定的概率准则的。一般来说,如果目标信号能量S与噪声能量N相比(信噪比S/N),超过检测门限D,则可以保证一定的虚警概率Pfa的条件下达到可检测目标回波所要求的检测概率Pd,简称为可发现目标,否则便称为不可发现目标。-Blanket Ja
orthogonal-beam-formation
- 传统的相控阵雷达,发射信号完全相关,通过对每个阵元加不同相移就可以改变波束的发射方向。以这种方式形成的波束通常主瓣较窄,信噪比比较高,若用于跟踪方向先验已知目标或只对空间某一窄的领域进行搜索时非常有利。本代码可以实现正交波束的形成.-Can realize orthogonal beam formation.
M2M4method-SNR-estimation
- 一种基于信号二阶四阶矩的信噪比估计方法,该文件中包含该方法的文章以及matlab程序。-This estimation method is based on the signal second-order signal-to-noise ratio of the fourth moment. The file contains a paper and a code.
matlab
- 实验要求:在一张图上绘制三种二进制信号(即反极性信号、开关信号和正交信号)的误码率。这三种信号可以在几何上用“信号空间”中的点来表示。在反极性信号情况下,信号是±s(t),每个都有能量E。开关信号也是一维信号,所以两个信号为0和s(t),正交信号我们上课已讲过。要求信噪比为0:12dB。-Experimental requirements: to draw a diagram of three binary signals (i.e., reverse polarity signal, the
Multi-component-Chirp-estimation
- 提出一种联合循环平稳法与多普勒模糊数搜索法的多分量Chirp信号相位参数精确估计算法,与已有循环平稳算法相比,该算法的相位参数取值范围不受限,低信噪比下的相位参 数估计精度约提高30 dB-Smooth fuzzy numbers and Doppler search method for multi-component the Chirp signal phase parameters the precise estimation algorithm, compared with exis
jia-zao-fang-fa-
- 其一噪声是否按指定的信噪比叠加,其二怎么样检验带噪信号中信噪比满足指定的信噪比。-First noise is superimposed specified signal-to-noise ratio, and the second is how to test signal with noise in the signal-to-noise ratio to meet the specified signal-to-noise ratio.
pam
- simulink实现载波PAM信号传输并计算不同信噪比下的误码率-PAM Modulation In Simulink
Active-noise-control
- 有源噪声控制(ANC)主要基于LMS算法,但在处理宽带噪声信号和低信噪比情况下,效果不好.影响控制效果的主要原因是输入信号的自相关分布.而小波变换具有消除信号自相关的作用.因此将小波变换引入有源噪声控制(ANC)是解决问题的一种办法-Active noise control (ANC) is mainly based on the LMS algorithm, but ineffective in dealing with the situation of the broadband noise
maep
- 在闭启键控通信系统中,两个假设下的观察信号模型为: 若两个假设的先验概率相等,且 , ,采用最小平均错误概率准则,试确定判决表达式,并求最小平均错误概率,利用MATLAB软件比较其理论值、仿真值。上述情况中,噪声 是均值为 ,方差为 的高斯噪声,仿真信噪比范围: ,间隔为 。 -In the closed Kai keying communication systems, the observed signal model under two assumptions: equal
Cross-correlation
- 基于labview8.6的FFT法测量低信噪比条件下两路方波信号的相位差,经测试,幅值测量精度和相位测量精度都很高-Based labview8.6 FFT method to measure the phase difference between the two square wave signals in low signal-to-noise ratio conditions, test, amplitude measurement accuracy and phase measurem
watermatking
- 对信号进行DWT分解,并对信号进行水印提取重构,测试信噪比-decompose signal by DWT,watermark the watermarking test it s PSNR
332
- 齿轮箱早期的故障信号往往十分微弱,信噪比低,这大大限制了已有诊断方法在早期诊断中的应用,因此如何获取真实的振动信号是提高齿轮箱早期故障诊断质量的关键,独立分量分析(ICA)为此提供了一种新的思路。文 中研究了ICA在齿轮箱故障早期诊断中的应用,首先分析了齿轮箱的混合振动信号模型,然后针对具体的轴承故障进行了实验,并使用快速ICA算法分离出轴承的振动信号-The early gearbox fault signal is often very weak, low signal-to-noise
snresti
- 信噪比估计 使用数值积分的方法计算 离散采样信号-SNR estimation using the method of numerical integration of computing discrete sampling signal
WT-wden
- 对MATLABB中给出的信号进行信噪比为4的WDEN小波去噪-The signal SNR the MATLABB given 4 WDEN wavelet denoising