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BPSKaQPSK
- BPSK与QPSK调制解调系统的Matlab仿真程序； 发送滤波器与接收滤波器均为根升余弦滚降滤波器； 信道噪声为加性高斯白噪声； 绘制BPSK与QPSK调制下的误码率与信噪比曲线图，并与理论曲线进行对比。 -BPSK and QPSK modulation and demodulation systems Matlab simulation program transmit and receive filters are root raised cosine filter
levinson
- 图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法
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
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
FFT
- 信号y=sin(2*pi*f1*t)+sin(2*pi*f2*t)加上信噪比为2高斯白噪声的傅里叶变换，分别画出时域和频域图-Signal y = sin (2* pi* f1* t)+ sin (2* pi* f2* t) plus noise ratio for two Gaussian white noise of the Fourier transform, respectively, to draw the time domain and frequency domain
bqpsk
- BPSK 与QPSK 调制解调系统的Matlab 仿真程序,发送滤波器与接收滤波器均为根升余弦滚降滤波器；信道噪声为加性高斯白噪声 绘制BPSK 与QPSK 调制下的误码率与信噪比曲线图，并与理论曲线进行对比-BPSK and QPSK modulation and demodulation system Matlab simulation program, send and receive filters are root raised cosine filter roll-off fil
ziliao
- 通信系统中数字调制信号分析 包括时域、频域、误码率、信噪比、谱分析、加性高斯白噪声，实现一个完整的系统分析的MATLAB程序-Communication systems digital modulation signal analysis including time domain, frequency domain, bit error rate, SNR, spectrum analysis, additive white Gaussian noise, to achieve a compl
Pe_SNR_BFSK
- 二进制频移键控信号时域波形，频域功率谱密度，以及加入加性高斯白噪声后输出的信噪比与误码率的关系。-Binary FSK signal time-domain waveform, frequency domain power spectral density, and the relationship between AWGN to a dispersion after the output signal to noise ratio and bit error rate.
Pe_SNR_QPSK
- 二进制相移键控信号时域波形，频域功率谱密度，以及加入加性高斯白噪声后输出的信噪比与误码率的关系。-Binary Phase Shift Keying signal time-domain waveform, frequency domain power spectral density, and the relationship between AWGN to a dispersion after the output signal to noise ratio and bit error ra
BPSK-QPSK
- 分别编写BPSK与QPSK调制解调系统的Matlab仿真程序，要求：发送滤波器与接收滤波器均为根升余弦滚降滤波器；信道噪声为加性高斯白噪声 绘制BPSK与QPSK调制下的误码率与信噪比曲线图，并与理论曲线比较对比-They were written BPSK and QPSK modulation and demodulation system Matlab simulation program requirements: a transmission filter and a recept
amlitude-of-AWGN
- 探究高斯白噪声信号的幅度与信噪比的关系，采用matab实现并绘图。-Explore the relationship between Gaussian white noise signal amplitude and signal to noise ratio, using matab achieve and drawing.
xinzaobizixiangguan
- 给原始语音加已知信噪比的高斯白噪声，随着信噪比不断变大，找出大概能使原始语音的波形特征不明显的信噪比范围。-Known to the original speech plus noise ratio of Gaussian white noise, with the signal to noise ratio becomes larger and larger, to find out about the original speech waveform characteristics to m
yiepai
- 高斯白噪声的生成程序，ML法能够很好的估计信号的信噪比,采用的是通用的平面波展开法。- Gaussian white noise generator, ML estimation method can be a good signal to noise ratio, Using common plane wave expansion method.
fingleng
- 通过matlab代码，包括最后计算压缩图像的峰值信噪比和压缩效果的源码,高斯白噪声的生成程序。- By matlab code, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Gaussian white noise generator.
goupan
- 详细画出了时域和频域的相关图，ML法能够很好的估计信号的信噪比,高斯白噪声的生成程序。- Correlation diagram shown in detail the time domain and frequency domain, ML estimation method can be a good signal to noise ratio, Gaussian white noise generator.