搜索资源列表
disgaosi
- 利用VC++实现,产生服从高斯分布随机数。其中A,B可以自己设定-VC produce obedience Gaussian distribution random number. Where A and B can be set for
gnngauss
- 该文件是产生两组随即的高斯分布系列,均值为0,均方差为N/2-The document was then produced two series of Gaussian distribution, the mean of 0 and standard deviation of the N / 2
8QAM
- 利用Matlab仿真软件,完成如图1所示的一个基本的数字通信系统。信号源产生0、1等概分布的随机信号,映射到16QAM的星座图上,同时一路信号已经被分成了实部和虚部,后边的处理建立在这两路信号的基础上。实部、虚部信号分别经过平方根升余弦滤波器,再加入高斯白噪声,然后通过匹配滤波器(平方根升余弦滤波器)。最后经过采样,判决,得到0、1信号,同原信号进行比较,给出16QAM数字系统的误码。
DSP1.zip
- 1)生成2KHz和8KHz的混合信号,使该信号通过上述滤波器,观察滤波前后的波形变化和频谱分布情况。 2) 在改信号中加入高斯白噪声,观察滤波前后的波形变化和频谱分布情况3) 将上述滤波器改为中心频率为100KHz的带通滤波器,信号源为带外的90KHz和带内的100KHz的混合正弦信号,。 4) 用M文件实现上述低通滤波器。 ,1) 2KHz and 8KHz to generate the mixed-signal, so that the signal through the abov
dsp3_2
- 生成2KHz和8KHz的混合信号,使该信号通过上述滤波器,观察滤波前后的波形变化和频谱分布情况。 在改信号中加入高斯白噪声,观察滤波前后的波形变化和频谱分布情况。-2KHz and 8KHz generation mixed-signal, so that the signal through the above-mentioned filter, filter before and after observation of the waveform and spectrum distrib
boxmuller
- 采用BoxMuller方法生成的高斯分布的随机数序列-Boxmuller Gaussian random varialbe
generate_llrs
- EXIT图绘制中根据要求的互信息度量生成(高斯分布)先验似然值-generating (Gaussian) priori likelihood values for a given mutual information measurement
hosa_d
- 对于一个随机的非高斯信号或者一个确定信号有很多的信息(远不止功率谱...)。本工具用来分析高阶谱和时频分布。-For a random signal or a set of non-Gaussian signals have a lot of information (far more than the power spectrum ...)。 This tool is used to analyze higher-order spectra and time-frequency distrib
yuanchengxu
- 高斯的分布产生随机数的方法: 在瑞利分布生成随机数的方法 该程序是用C + +语言,程序的项目可以通过VS2005打开。对于每个分配,程序生成的随机数10000 泊松分布生成随机数的方法:-The program is written by C++ language, the program project can be opened by VS2005. For each distribution, the program generated 10000 random
random_sequence_generate_0
- 通过C语言,产生高斯瑞利莱斯分布的随机序列-generate random sequence according to gauss, rayleigh in c enviroment
random_sequence_generate_1
- 用C语言产生高斯瑞利莱斯分布的随机序列,并加入图形显示效果-Using C language to produce gauss rayleigh distributed random sequence, and add the graphics display
Spatialcorrelationforparallelarray
- 入射角高斯分布平行天线相关性(无互耦和考虑互耦的情况下相关性的不同表现)-Incident Angle gaussian distribution parallel antenna correlation (no mutual coupling and consideration of the mutual coupling correlation of different performance)
Spatialcorrelationforcollineararray
- 入射角高斯分布共线天线相关性(不考虑互耦和考虑互耦时相关性的不同)-Spatial correlation with Guassian distribution of angular energy for collinear arrays
Spatialcorrelationversus
- 高斯分布入射信号扩展角与相关性关系(同样考虑有无互耦的情况)-Spatial correlation versus standard deviation with Guassian distribution of angular energy
Cal-of-Correlation-Coefficient
- 阵列天线单元间,接收信号功率谱高斯时,分布互相关系数计算-The calculation of correlation coefficient between two units of the antenna array when the receiving singals power spectrum fits the Gaussian distribution.
cpp_program
- 通信系统中对不同分布函数的c语言实现,主要是高斯分布、瑞利分布、泊松分布等-Communication system on the distribution function of c language, mainly the Gaussian distribution, Rayleigh distribution, the Poisson distribution
1
- 高斯、泊松、瑞丽分布是信道中噪声最基本的几种分布到情况,了解信道噪声情况对于信道去噪是很有必要的-it is very important in the processing of denoising
yy
- (1)产生N个服从随机分布的随机数,重复M次运算,总计算量为M*N个点 (2)选定生成矩阵,进行信道编码 (3)进行双极性映射,根据不同信噪比加入高斯噪声(4)判决统计误码率(5)使用最小汉明距离译码并统计误码率(6)绘制星座图和误码率曲线图((1) N random number random distribution, repeated M times of operation, the total amount of computation for M*N points (2) selec
产生LogNormal分布
- 产生LogNormal分布的相干相关高斯谱杂波序列。相关 (Generated LogNormal Gaussian spectral distribution of coherent clutter-related sequences. Production of correlation sequences using frequency-domain method.)
瑞利
- 瑞利衰落和莱斯衰弱的信道分布,当莱斯分布在K=-40dB和K=-15dB时分别接近于瑞利分布和高斯分布(Channel distribution of Rayleigh fading and Rice fading)