高斯噪声

通信基本仿真,适合初学者学习的代码,包括了调制,分析等等:使用IIR filter的经典模拟滤波器（巴特沃斯Butterworth,切比雪夫Chebyshev）,Bartlett周期图谱，加窗Bartlett周期图谱，基带波形仿真，IIR的贝塞尔滤波器Bessel Filter，二进制对称信道Binary Symmetric Channel仿真，比特序列，Remez滤波，BPSK复合基带信号仿真，载波生成器，椭圆滤波器Elliptical Filter，FFT,FSK调制及解调，高斯噪声Gaussian仿真，直方图，理想AM，线性PLL，BP混淆器，理想MPSK，正交振幅调变（QAM，Quadrature Amplitude Modulation），正交相移键控(QPSK)，Rayleigh Noise瑞利噪声，Yule-Walker Psd功率谱密度函数。(Butterworth Chebyshev)

FBMC_UFMC_OFDM_5G-master

PCM编码译码的matlab代码，设一个输入量，对其进行通信原理仿真。(The MAT code of the PCM code decoding, set an input quantity, and simulate the communication principle.)

wcdma上行扰码生成，严格按照3gpp 25212进行编写，有多种实现方式(wcdma uplink scrambling code generation, in strict accordance with 3gpp 25212 to write, there are a variety of ways)

本文根据移动通信衰落信道的工作机理, 基于加性高斯白噪声信道( AWGNChannel) 、 落信道( RayleighFading Channel) 、莱斯衰落 icianFadingChannel) 的仿真模型, 并利用M 行了衰落信道的误比特率性能的仿真分析。(Based the working mechanism of the mobile communications fading channel, Based on the additive white Gaussian noise channel (AWGNChannel), The down channel (RayleighFading Channel), Rice fading icianFadingChannel) simulation model, and the use of M Line simulation analysis of the the fading channel bit error rate performance.)

huong dan lap trinh bang labview

中兴手机v788d改cpn通过cpn改IMEI(change v788d cpn)

针对MIMO-OFDM系统中期望最大化(EM)信道估计算法在高信噪比(SNR)下带来的误差地板(EF)现象,且OFDM符号的数据传输效率随发射天线数的增加而明显降低,提出一种改进的高效EM信道估计算法。该算法首先引入一种准确的等效信号模型并推导出一种修正的EM算法,改善了EM算法在高SNR下的性能 在多个OFDM间利用相位正交导频序列来提高数据传输效率,同时进行联合信道估计以提高估计性能。仿真实验验证了所提算法具有更高的信道估计性能和更高的数据传输效率。(For multiple-input multiple-output with orthogonal frequency division multiplexing(MIMO-OFDM) systems,the error floor(EF) phenomenon at high signal noise rate(SNR) was induced by the expectation maximum(EM) channel estimation algorithm.In addition,the data transmission efficiency was declined obviously with the increasing number of transmit antennas.According to these problems,an improved and efficient EM channel estimation algorithm was pro-posed.Firstly,an accurate and equivalent signal model was introduc...)

AX.25业余无线电数据通信协议通信的实现程序，包括打包和解包。(A program for packeting and unpacking AX.25 protocol.)

for entropy H = entropy(S) this command will evaluate the entropy of S, S should be row matrix H = entropy([X Y Z]) this command will find the joint entropy for the 3 variables H = entropy([X,Y],[Z,W]) this will find H(X,Y/Z,W).. you can use it for any combination of joint entropies Please validate this function before using it