搜索资源列表
fm
- Fm调制和仿真,大家可以从这个程序了解到FM的模型的产生,在不同信号不同信噪比之下的比较-fm
Noisy-pretreatment
- 纯语音和带噪语音,信噪比,带噪语音的产生,语音信号的预处理一——消除趋势项和直流分量-Pretreatment with a pure voice and noisy speech signal to noise ratio, resulting in noisy speech, the speech signal- to eliminate the trend term and DC components
EMD
- EMD 方法在理论上可以应用于任何类型的信号的分解, 因而在处理非平稳及非线性数据上,具有非常明显的优势,适合于分析非线性、非平稳信号序列,具有很高的信噪比。-EMD decomposition method in theory can be applied to any type of signal, which in the non-stationary and nonlinear data, with a very distinct advantage, suitable for anal
PhySound
- 生理讯响监听器,主要用于监听神经元放电信号。此程序可以极大地提高监听音讯的信噪比。信号通过声卡线路输入插口输入,通过喇叭播放静噪后的声音。-Neuronal spike listener. The program is use to listen the neuronal firing signals with greatly improved signal-noise ratio. Signal input through the sound card line input jack, and
Desktop6
- Matlab仿真:采样次数与信号的信噪比的关系曲线图。-Matlab simulation: the number of samples and the signal to noise ratio of a plot.
MUSIC1
- 模拟2个独立窄带信号分别以20°,60°的方向入射到均匀线阵上,信号间互不相关,与噪声相互独立,噪声为理想高斯白噪声,阵元间距为入射信号波长的1/2,信噪比为20dB,阵元数为10,采样快拍次数为200。-Simulate two independent narrowband signals in the direction of 20 °, 60 ° of the incident on the ULA, among signal unrelated, independent noise, t
music2
- 模拟2个独立窄带信号分别以20°,60°的方向入射到均匀线阵上,信号间互不相关,与噪声相互独立,噪声为理想高斯白噪声,阵元间距为入射信号波长的1/2,快拍数为200,信噪比为20dB,阵元数分别为10,50,100。 -Simulate two independent narrowband signals in the direction of 20 °, 60 ° of the incident on the ULA, among signal unrelated, independent
music3
- 模拟2个独立窄带信号分别以20°,60°的方向入射到均匀线阵上,信号间互不相关,与噪声相互独立,噪声为理想高斯白噪声,阵元数为10,快拍数为200,信噪比为20dB,阵元间距分别为 tambada/6 tambada/2、tambada。-Simulate two independent narrowband signals in the direction of 20 °, 60 ° of the incident on the ULA, among signal unrelat
music4
- 模拟2个独立窄带信号分别以20°,60°的方向入射到均匀线阵上信号间互不相关,与噪声相互独立,噪声为理想高斯白噪声,阵元数为10,阵元间距为入射信号波长的1/2,信噪比为20dB,快拍数分别为5,50,200。-Simulate two independent narrowband signals in the direction of 20 °, 60 ° of the incident on the ULA between signal uncorrelated with independe
music5
- MUSIC算法DOA估计与信噪比的关系模拟2个独立窄带信号分别以20°,60°的方向入射到均匀线阵上,信号间互不相关,与噪声相互独立,噪声为理想高斯白噪声,阵元数为10,阵元间距为入射信号波长的1/2,快拍数为200,信噪比分别为-20dB,0dB,20dB。-MUSIC DOA estimation algorithm relationship with SNR
music6
- 模拟2个独立窄带信号入射到均匀线阵上,信号间互不相关,与噪声相互独立,噪声为理想高斯白噪声,阵列的阵元数为10,快拍数为200。阵元间距为入射信号波长的1/2,信噪比为20dB,信号入射角度差分别为5°,10°,20°。-Simulate two independent narrowband signals incident on the ULA, among signal unrelated, independent noise, the noise is ideal Gaussian whi
music7
- 模拟两个相干的的窄带信号。阵列的阵元数为10,快拍数为200,信号入射方向分别为20°,60°,阵元间距为入射信号波长的1/2,信噪比为20dB。分别用MUSIC算法和改进MUSIC算法进行仿真。仿真结果如下图所示-MUSIC algorithm is improved compared with the simulation of signal coherent MUSIC algorithm. Two coherent analog narrowband signal. Array elem
music8
- MUSIC算法DO模拟2个独立窄带信号入射到均匀线阵上,信号间互不相关,与噪声相互独立,噪声为理想高斯白噪声,阵列的阵元数为10,快拍数为200。阵元间距为入射信号波长的1/2,信噪比为20dB,信号入射角度差分别为5°,10°,20°。-DO MUSIC algorithm simulate two independent narrowband signals incident on the ULA, among signal unrelated, independent noise, the
gonglvpuguji
- 一、实验要求 信号为两个正弦信号加高斯白噪声,各正弦信号的信噪比均为10dB,长度为N,信号频率分别为和,初始相位,取,取不同数值:0.3,0.25。为采样频率。分别用Levinson递推法和Burg法进行功率谱估计,并分析改变数据长度、模型阶数对谱估计结果的影响。-Power spectrum estimation
weinalvbo
- 设计一维纳滤波器。 (1)产生三组观测数据,首先根据s(n)=as(n-1)+w(n)产生信号s(n),将其加噪(信噪比分别为20dB,10dB,6dB),得到观测数据x1(n),x2(n),x3(n)。 (2)估计xi(n),i=1,2,3的AR模型参数。假设信号长度为L,AR模型阶数为N,分析实验结果,并讨论改变L,N对实验结果的影响。 -Design a Wiener filter. (1) generate three sets of observations data, f
sigma-delta-modulation
- 高精度、低功耗模数转换器是当今集成电路设计模拟领域的研究热点之一,采用sigma-delta调制原理和过釆样原理的模数转换器广泛使用在音频、数字网络、电子测量等系统中。此类模数转换器,为降低信号带内的量化噪声功率,而釆用噪声整形技术,为提高模数转换器的信噪比,使用过采样技术,将基带中的量化噪声调制到了高频区域,这样就增加了基带中的信噪比,也就是增加了转换器的有效量化位数,由于采用较高的过采样率,Sigma-Delta ADC的转换速率相对较低,高精度和较低转换速率的特点,使得Sigma-Delt
radar
- 分析雷达信号方向基于四阶累积量的MUSIC算法可以实现阵列扩展,提高了DOA估计精度、分辨率,降低阵列信号处理对信噪比的要求。-Analysis of radar signal direction of MUSIC algorithm based on fourth-order cumulants can realize array extension, improve the DOA estimation precision, resolution, reduce the requiremen
7102
- 基于匹配滤波器的语音识别。本程序接触匹配滤波对加噪语音进行匹配输出,使得信号的信噪比得到提升,送入后端DTW的语音识别系统,实验证明,本程序对语音提升有很大的帮助-A speech recoginiton base on the matched filter. this code will use matched filter and get speech SNR output enhanced. then we will extrace MFCC, send the feature to th
repeat8psk
- 在信噪比从0到30dB的范围内产生8PSK,bpsk,qpsk,16qam,64qam信号,通过AWGN信道,并计算信号的高阶累积量和二阶矩,可以用于盲检测-Produce SNR range 0 to 30dB of 8PSK, bpsk, qpsk, 16qam, 64qam signal through AWGN channel, and calculates the signal higher order cumulants and the second moment, can be
XiangGanJiLei
- 雷达中的信号相干积累,使得信号的信噪比提升N倍。-Coherent integration radar signal, so the signal to noise ratio enhancement N times.