搜索资源列表
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
MVDR.rar
- 三个复正弦信号的信噪比分别为SNR1 =30dB, SNR2 =30dB和SNR3 = 27dB。假设信号样本数为1000,FIR 滤波器的抽头个数为4。基于奇异值分解的MVDR 方法进行信号频率估计的仿真实验,获得功率谱密度函数的估计。,A power spectrum estimation algorithm named mvdr is introduced in this program
weinat
- 基于DD算法的先验信噪比估计的维纳语音降噪完整程序,包括语音分帧,动态信噪比估计,噪声估计更新和帧的重构。很完整。-DD algorithm based on a priori signal to noise ratio is estimated that the integrity of the process noise reduction Wiener voice, including voice sub-frame, dynamic signal to noise ratio estim
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
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
bpsk_snrpe
- 在单径瑞利信道中,请设计一种时分的导引辅助的信道估计方法,用Simulink进行仿真,测量BPSK的误码率性能,画出比特信噪比与误码率的关系曲线- in a single path Rayleigh channel, please design a secondary peak guide channel estimation method, the Simulink simulation, BPSK BER performance measurement, signal to noise ra
music1snr
- 不同信噪比对MUSIC算法实现波达方向估计的影响-Different signal to noise ratio of MUSIC DOA estimation algorithm for implementation of the impact of
welch
- 本程序实现了短数据序列不同窗函数的welch功率谱估计,然后又求了他们的平均标准差,从而判断各个窗函数的优劣。只要稍作修改就能实现不同信噪比下的功率估计,同时也可以实现长数据序列的估计。-This procedure has a short data series of different welch window function power spectrum estimation, and then seek their average standard deviation, and thu
sermse
- OFDM 系统信噪比估计,matlab源代码-OFDM system, SNR estimation, matlab source code
smartjam
- 灵巧干扰对直接序列扩频信号发射机和接收机的干扰仿真程序,包括通信发射机电路、接收机捕获电路、码跟踪电路、载波捕获电路、防假捕电路、信噪比估计电路和数据解调电路-Smart interference on direct sequence spread spectrum signal transmitter and receiver interference simulation program, including communications transmitter circuit, recei
ofdm
- 6. 在三条径的瑞利信道中,对于OFDM: (1) 请设计一种具体的导引辅助的信道估计方法,用Simulink进行仿真,测量BPSK调制时的误码率性能。画出比特信噪比与信道估计均方误差的关系曲线,画出比特信噪比与误码率的关系曲线。 -6. In the three path Rayleigh channel, for OFDM: (1) Please design a specific guide-assisted channel estimation method, the Sim
lunwen
- 好好学习通信方面的相关知识,信噪比估计算法-Learn the relevant knowledge of communications, SNR estimation algorithm
gaussian_filter
- 详细说明:1. 利用自相关函数法和周期图法实现随机信号的功率谱估计。 2. 观察数据长度、自相关序列长度、信噪比、窗函数、平均次数等对谱估计的分辨率、稳定性、主瓣宽度和旁瓣效应的影响。 --1. The use of auto-correlation function method and cycle map Method random signal power spectrum estimation. 2. Observation data length, the length of auto
GPS2
- 用MATLAB在产生的观测数据中捕获其中PRN 号码为“5”C/A 码。 (1) 观测数据应该有一定的多普勒频偏D f(-10kHz〈D f〈+10kHz); (2) 加入高斯白噪声,使其信噪比为-20dB; (3) 捕获成功后,应给出捕获标志,并给出估计的频偏和码偏值。-Generated by MATLAB in which observed data capture PRN number is " 5" C/A code. (1) there should b
qjkpp
- 二维运动估计穷尽块匹配算法计算运动矢量,以及计算信噪比-motion estimation
fft
- 对正弦信号进行傅里叶变化,然后估计频率,在不同信噪比下画出均值方差的图-In the data process the measured complex time signal is converted into frequency signal by DFT to get vibration information regarding frequency and amplitude of the rotor
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.)
打包
- 两种不同的假设: H1 : 0 xn A fn wn ( ) cos(2 ) ( ) = ++ π θ n=1,2,…,N,f0 为规一化频率 H0 : xn wn () () = n=1,2,…,N 其中 w[n]是均值为 0,方差为 2 σ n 的高斯白噪声,A 已知,样本间相互 独立,信号与噪声相互独立; 相位θ 是随机变量,它服从均匀分布 1 0 2 ( ) 20 p θ π θ π ?? ≤ ≤ = ??? 其它 1)改变输入信噪比(改变 A 或噪声方差均可),给
最大似然
- 两种不同的假设: H1 : 0 xn A fn wn ( ) cos(2 ) ( ) = ++ π θ n=1,2,…,N,f0 为规一化频率 H0 : xn wn () () = n=1,2,…,N 其中 w[n]是均值为 0,方差为 2 σ n 的高斯白噪声,A 已知,样本间相互 独立,信号与噪声相互独立; 相位θ 是随机变量,它服从均匀分布 1 0 2 ( ) 20 p θ π θ π ?? ≤ ≤ = ??? 其它 1)改变输入信噪比(改变 A 或噪声方差均可),给