Gmd2lc

C编写的QPSK调制解调，很有用，值得学习，代码编写很规范(Written in C QPSK modulation and demodulation, very useful, it is worth learning, very standardized coding)

说明：  根据5G协议要求，产生5G NR下行链路信号，包含各种参考信号形式(According to the requirements of 5g protocol, 5g NR downlink signal is generated, including various reference signal forms)

matlab数据导入导出，支持文本、音频、视频及其他数据类型(matlab data import and export, support for text, audio, video and other data types)

modified EZW algoritham

This is matlab code for simulation pdf of Nakagami

本程序是关于卫星上下变频的简单的实现算法，首先产生双边带调制信号，与收本振混频后，通过低通滤波器完成下变频。再与发本振混频，通过高通滤波器后完成上变频(This program is a simple algorithm on the satellite and down-conversion, the first double-sideband modulation signal generated, after the close of the oscillator mixer, low-pass filter complete the conversion. Again and send the local oscillator mixer, followed by the completion of the high-pass filter frequency)

数值分析，上机题目，求解方程组十分方便 数值分析，高斯公式， 求解方程组十分方便(Numerical analysis, the machine topic is very convenient for solving equations numerical analysis, Gaussian formula is very convenient for solving equations)

文章展示了基于高斯混合模型的语音频谱预测方法。频谱预测可能在传包过程中预防丢包这方面起到大作用。期望最大化算法用两倍或三倍的连续语音因素来测试模型。模型被用来设计第一，儿等指令预测量。预测表用频谱分配状态来估计并和一个简单的参考模型对比。最好的预测表得到一个平均频率扭曲值是0.46dB小于参考模型(This paper presents methods for speech spectrum prediction based on Gaussian mixture models. Spectrum prediction may be useful in a packet transmission system where the sensitivity to packet losses is a major problem. Models of speech are trained by the Expectation Maximization algorithm using pairs, triples etc. of consecutive cepstral vectors. The models are used to design first, second etc. order predictors. The prediction schemes are evaluated using the spectral distortion criterion and compared to a simple reference method. The best prediction scheme obtains an average spectral distortion that is 0.46 dB less than for the reference method. )

LDPC 码matlab程序 ，可用matlab直接运行，输出为BER曲线(LDPC code matlab program, matlab can be used directly to run, the output for the BER curves)

Simulink Coder™ (formerly Real-Time Workshop® ) generates and executes C and C++ code from Simulink® diagrams, Stateflow® charts, and MATLAB® functions. The generated source code can be used for real-time and nonreal-time applications, including simulation acceleration, rapid prototyping, and hardware-in-the-loop testing. You can tune and monitor the generated code using Simulink or run and interact with the code outside MATLAB and Simulink.