▍1. h5gSSS
说明： 5G辅同步信号SSS的m序列的matlab生成代码(Generate the secondary synchronization signal symbols (BPSK) for a given cell ID)
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▍2. project1
研究d2d通信加中继节点来优化蜂窝小区边缘用户通信，并通过MATLAB仿真(The D2D communication and relay nodes are studied to optimize the edge user communication of cellular cell, and the simulation is carried out by MATLAB.)
▍3. project1
说明： 研究d2d通信加中继节点来优化蜂窝小区边缘用户通信，并通过MATLAB仿真(The D2D communication and relay nodes are studied to optimize the edge user communication of cellular cell, and the simulation is carried out by MATLAB.)
▍4. 通信编码
lbc_example：未编码的BPSK调制的性能（理论计算与仿真）、重复码硬判决的性能 lbc_example_SD： 未编码的BPSK调制的性能（理论计算）、重复码硬判决的性能、重复码软判决的性能 lbc_example_SD_EbNo：lbc_example_SD中的性能，并且进一步考虑了码率不同时，对于信道的SNR值进行归一化，以Eb/No = SNR/(2*R)为横坐标时的比较结果 lbc_example_Hamming_EbNo：汉明码，硬判决译码的性能(Lbc_example: Performance of uncoded BPSK modulation (theoretical calculation and simulation), performance of duplicate code hard decision Lbc_example_SD: Performance of uncoded BPSK modulation (theoretical calculation), performance of hard decision of duplicate code, performance of soft decision of duplicate code The performance of lbc_example_SD_EbNo: lbc_example_SD is considered, and the SNR value of channel is normalized when the bit rate is different. The comparison results are obtained when Eb/No = SNR/(2*R) is the abscissa coordinate. Lbc_example_Hamming_EbNo: Hamming Code, Performance of Hard Decision Decoding)
▍5. 通信编码
说明： lbc_example：未编码的BPSK调制的性能（理论计算与仿真）、重复码硬判决的性能 lbc_example_SD： 未编码的BPSK调制的性能（理论计算）、重复码硬判决的性能、重复码软判决的性能 lbc_example_SD_EbNo：lbc_example_SD中的性能，并且进一步考虑了码率不同时，对于信道的SNR值进行归一化，以Eb/No = SNR/(2*R)为横坐标时的比较结果 lbc_example_Hamming_EbNo：汉明码，硬判决译码的性能(Lbc_example: Performance of uncoded BPSK modulation (theoretical calculation and simulation), performance of duplicate code hard decision Lbc_example_SD: Performance of uncoded BPSK modulation (theoretical calculation), performance of hard decision of duplicate code, performance of soft decision of duplicate code The performance of lbc_example_SD_EbNo: lbc_example_SD is considered, and the SNR value of channel is normalized when the bit rate is different. The comparison results are obtained when Eb/No = SNR/(2*R) is the abscissa coordinate. Lbc_example_Hamming_EbNo: Hamming Code, Performance of Hard Decision Decoding)
▍6. MSAFadapt
多子带自适应算法，能够有较好的鲁棒性以及稳态特性。(The multi-subband adaptive algorithm has better robustness and steady-state characteristics.)
▍7. MSAFadapt
说明： 多子带自适应算法，能够有较好的鲁棒性以及稳态特性。(The multi-subband adaptive algorithm has better robustness and steady-state characteristics.)
▍8. Realization_of_QPSK
说明： QPSK的MATLAB实现包括发送数据、QPSK比特映射、成型滤波、载波调制、载波解调、收成型匹配、IQ抽样判决、接收比特数据恢复8个模块(The MATLAB implementation of QPSK includes eight modules: sending data, QPSK bit mapping, shaping filtering, carrier modulation, carrier demodulation, shaping matching, IQ sampling decision and receiving bit data recovery.)
▍13. IIR 数字滤波器的设计与实现
设计一个巴特沃兹数字低通滤波器，其技术指标为：3dB带宽为0.2π，阻带截止频率为0.3π，通带纹波为1dB，阻带衰减大于30dB，采样间隔T=10ms。 1）采用冲激响应不变法； 2）采用双线性变换法设计； 3）采用FIR的窗函数（Hanning窗、Hamming窗或Blackman窗）设计。(A Butterworth digital low-pass filter is designed. Its technical specifications are: 3 dB bandwidth is 0.2 pi, stopband cut-off frequency is 0.3 pi, passband ripple is 1 dB, stopband attenuation is more than 30 dB, sampling interval T=10 Ms. 1) Impulse response invariance method is adopted. 2) Design by bilinear transformation method; 3) FIR window function (Hanning window, Hamming window or Blackman window) is used to design.)
▍14. IIR 数字滤波器的设计与实现
说明： 设计一个巴特沃兹数字低通滤波器，其技术指标为：3dB带宽为0.2π，阻带截止频率为0.3π，通带纹波为1dB，阻带衰减大于30dB，采样间隔T=10ms。 1）采用冲激响应不变法； 2）采用双线性变换法设计； 3）采用FIR的窗函数（Hanning窗、Hamming窗或Blackman窗）设计。(A Butterworth digital low-pass filter is designed. Its technical specifications are: 3 dB bandwidth is 0.2 pi, stopband cut-off frequency is 0.3 pi, passband ripple is 1 dB, stopband attenuation is more than 30 dB, sampling interval T=10 Ms. 1) Impulse response invariance method is adopted. 2) Design by bilinear transformation method; 3) FIR window function (Hanning window, Hamming window or Blackman window) is used to design.)
▍17. 29625281MIMO-channel-matlab
说明： MIMO干扰广播信道分布和效用最大化的一种迭代加权MMSE方法(An Iteratively Weighted MMSE Approach to Distributed Sum-Utility Maximization for a MIMO Interfering Broadcast Channel)
▍18. 基于MATLAB的FIR数字滤波器设计_谢丽英
基于MATLAB用窗函数设计FIR滤波器，并验证滤波效果(Design FIR filter based on MATLAB with window function and verify filter effect)
▍19. 基于MATLAB的FIR数字滤波器设计_谢丽英
说明： 基于MATLAB用窗函数设计FIR滤波器，并验证滤波效果(Design FIR filter based on MATLAB with window function and verify filter effect)
▍20. 基于MATLAB的IIR数字滤波器的设计与仿真分析_刘兴
数字信号处理，利用matlab语言仿真，对信号进行滤波。(Digital signal processing, using MATLAB language simulation to filter the signal)
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