在ofdm调制中运用压缩感知中OMP算法进行信道估计并与LS算法

说明：  基于深度学习的OFDM多载波系统信道估计(Channel estimation for OFDM multi carrier system based on deep learning)

Photovoltaic systems, solar thermal systems based on knowledge training(PVSystem)

对跳频信号在干扰情况下的误码率进行防真，并以对数表示，一定要下(Interference of frequency hopping signals in case of error rate for anti-truth, and to the number that must be under)

MC-CDMA的matlab代码 包括发送，接收及通过nakagami信道(MC-CDMA, including the matlab code to send, receive and pass the Nakagami channel)

说明：  通过串口解析MODBUS协议 读开关量型的输入信号 读保持寄存器上的内容 批量写数据到保持寄存器(Resolving MODBUS Protocol through Serial Port Input signal of reading switch type Read and hold registers Write data in batches to hold registers)

迭代ACCF相参积累与参数估计,SAR回波，只加了噪声(Iterative ACCF coherent accumulation and parameter estimation)

说明：  2. 关于无线信道的多普勒谱，请回答以下问题： (1) 在某些无线信道中，多普勒频移会引起无线信道输出信号的混叠。请描述产生混叠的各种原因； (2) 无线信道中的多普勒谱有一种经典谱(classic spectrum)，请解释产生这种谱形状的机理； (3) 请用Simulink工具编写代码(S-Function方式)，产生一单径瑞利信道，其多普勒谱为经典谱，其中移动速率为120km/h。并请回答：证明自己用计算机产生的经典谱是正确的可能方法。 (On the wireless channel of the Doppler spectrum, please answer the following questions: (1) In some radio channels, the Doppler frequency shift will cause the output signal of the wireless channel aliasing. Please describe the aliasing produced a variety of reasons (2) wireless channel in the Doppler spectrum has a classical spectrum (classic spectrum), please explain the mechanism of produce such spectral shape (3), please use the Simulink tool to write code ( S-Function mode), resulting in a single-path Rayleigh channel, the Doppler spectrum for the classical spectrum, including mobile rate of 120km/h. And requested the answer: that they used computer-generated classical spectrum is the right possible way.)

基于非线性压扩的降低OFDM信号PAPR的算法(Reduction based on nonlinear companding algorithm for OFDM signal PAPR)

bit interleaved coded modulation Performance in Fading Channel for differnet trellises

说明：  模拟调制识别各特征参数随信噪比变化曲线。信号的瞬时信息包括瞬时幅度、瞬时相位、瞬时频率及其不同角度的统计特征值，其中瞬时幅度、瞬时相位、瞬时频率是一个信号最基本的特征。（AM、DSB、SSB、VSB、FM、AM-FM）(Simulated Modulation Recognition Curve of Variation of Characteristic Parameters with Signal-to-Noise Ratio)