ptsv

LTE系统中信道的加扰调制部分,子载波建立的必要过程( LTE, modulate ,scrambing,16QAM,64QAM,QPSK,)

说明：  bpsk调制仿真，可直接用 1、数字调制方法 数字调制就是把数字基带信号的频谱搬移到高频处，形成适合在信道中传输的带通信号。基本的数字调制方式有振幅键控（ASK）、频移键控（FSK）、绝对相移键控（PSK）、相对（差分）相移键控（DPSK）。在接收端可以采用想干解调或非相干解调还原数字基带信号。 数字信号的传输方式分为基带传输和带通传输。然而，实际中的大多数信道（如）无线信道具有丰富的低频分量。为了使数字信号在带通信道中传输，必须用数字基带信号对载波进行调制，以使信号与信道的特性相匹配。(1, digital modulation method Digital modulation is the transfer of the spectrum of a digital baseband signal to a high frequency to form a bandpass signal suitable for transmission in the channel. The basic digital modulation methods are amplitude keying (ASK), frequency shift keying (FSK), absolute phase shift keying (PSK), and relative (differential) phase shift keying (DPSK). At the receiving end, the digital baseband signal can be restored by using dry demodulation or non-coherent demodulation. Digital signal transmission methods are divided into baseband transmission and bandpass transmission. However, most channels in practice, such as wireless channels, have rich low frequency components. In order for a digital signal to be transmitted in a band channel, the carrier must be modulated with a digital baseband signal to match the signal to the characteristics of the channel.)

运用matlab仿真实现多相滤波结构，带有中文注释，简单易懂。可以运行直接观察波形(Using MATLAB simulation to achieve polyphase filter structure, with Chinese annotation, easy to understand. Direct observation waveforms can be run)

对数字通信作简要介绍，有一定参考价值，适合通信相关开发人员(Digital Communication related)

an efficient edge preserving approach

说明：  DS-CDMA数字基带传输系统+MATLAB仿真图+程序代码(DS-CDMA digital baseband transmission system + MATLAB simulation diagram + program code)

说明：  5G主同步信号m序列根据公式matlab生成(5G Pss m matlab generater)

认知无线电分布式功率控制非合作博弈NASH均衡的实现基于价格函数以及DPC功率控制比较(Distributed cognitive radio power control non-cooperative game NASH equilibrium price function and the DPC-based power control more)

51单片机主机和从机通过485测AD电压，有程序和仿真(51 single chip computer host and slave machine through 485 AD voltage, program and simulation)

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