sdrtrasmit

这是包含我自己设计的一个低通滤波器和语音信号的处理，程序已经通过编译和仿真。(This is my own design with a low-pass filter and speech signal processing, compilation and simulation programs have been adopted.)

my_2bpsk.rar文件包含了一个m文件和一个低通滤波器数据文件，实现的数字通信系统的升余弦基带成型，bpsk数字调制，以及高斯白噪声、接收端相干解调系统处理的各个阶段，并用plot语句画出了相关波形,对于理解数字通信系统有很大的好处。(my_2bpsk.rar file contains an m file and a low-pass filter data file, to achieve the digital communication system raised cosine baseband shaping, bpsk digital modulation, and Gaussian white noise, the receiver coherent detection system at all stages of processing and used to draw the relevant waveform plot statement, the understanding of digital communication systems is highly desirable.)

Simulink the use of the block to refine the model

涉及matlab使用过程中经典的命令大全，可以帮助使用者快速操作matlab。(Involved in the the MATLAB process of using classic command Guinness, can help users quickly the operation of Matlab.)

说明：  有关LTE信道估计的硕士论文。主要讲上行信道的估计算法和实现(Master s thesis for LTE channel estimation)

。本文研究了SC-FDE系统中的最小均方误差判决反馈 均衡（MMSE-DFE）和基于LMS准则的自适应均衡算法， MATLAB仿真表明，由于LMS自适应均衡算法能有效的跟 踪信道变化并更新均衡器的抽头系数，其性能略优于最小 均方误差判决反馈均衡算法。(. In this paper, the SC-FDE system, the minimum mean square error decision feedback Equalization (MMSE-DFE) and criteria based on LMS adaptive equalization algorithms MATLAB simulation results show that LMS adaptive equalization algorithm as effective with Track changes and update the channel equalizer tap coefficients, its performance slightly better than the minimum Mean square error decision feedback equalization algorithm.)

用水平集做的 MRI大脑图像分割 内有用法说明 （带图形界面）-是学生做毕业设计的时候，应该可以参考下的(To do with the level set in the MRI brain image segmentation has usage instructions (with graphical interface)- is designed for students to do graduate, it should be able to refer to the)

对于离散控制系统的自适应滑膜控制器的matlab仿真设计(Synovial adaptive controller for discrete control system matlab simulation design)

用于实现多普勒频移和时延的估计，是基于离散信号的频域周期性实现的。(jiontly doppler and delay estimation based on ambiguity function)

matlab图论很好的学习书,matlab图论很好的学习书(a good book for graph theory)