low_pass_filter

线性调频信号和相位编码信号（七位巴克码）及他们的混合调制信号在matlab中的实现(The realization of the chirp signal and the phase-encoded signal (seven Barker code) and their hybrid modulation signal in matlab)

使用opnet与matlab实现网络编码，源码在说明文档中有下载地址(Using opnet realize network with matlab coding, source code in the description in the document have Download)

说明：  MFC编程 实现数据绘制成曲线。经兄弟推荐最终决定用两个控件MCSCOMM与TeeChart来完成此任务。MCSCOMM控件时vc自带的串口控件，TeeChart Pro是一个强大的VCL图表组件，支持上百种2D和3D图表风格，并提供40多个数学和统计函数、无限制的轴和22个调色板(MFC programming realizes data plotting into curves. After recommendation by brothers, we finally decided to use two controls, MCSCOMM and TeeChart, to accomplish this task. TeeChart Pro is a powerful VCL graphics component that supports hundreds of 2D and 3D graphics styles and provides more than 40 mathematical and statistical functions, unlimited axes and 22 palettes.)

matlab 波束形成的仿真，包含时域，频域，相移波束形成(Matlab beamforming simulation, including time domain, frequency domain, phase-shifted beamforming)

说明：  对铭泰读卡器不同扇区进行读写操作，初始化扇区，扇区信息加密。(Reading and Writing Mingtai Card Reader)

说明：  移动通信网络优化新解决方案_基站覆盖延伸系统的原理及应用(The new mobile communication network optimization solutions for base station coverage extension of the system _ Principle and Application)

说明：  里面包含四种情境的信道估计模型 比较了他们的优缺点(There are four scenarios in the channel estimation model to compare their advantages and disadvantages)

采用Log-BP算法的LDPC码译码仿真程序,给出了不同信噪比下误码率和误包率的统计图,用matlab和Cc-mex程()

基本的MATLAB调制解调程序集，包含BPSK、QPSK、QAM、GMSK等调制方式(Basic MATLAB modulation and demodulation program set, Including BPSK, QPSK, QAM, GMSK and other modulation methods.)

本文分析了多级维纳滤波器的特性，在加性噪声和二维天线阵列如均匀圆阵、均匀面阵、十字阵等条件和背景下，对信源个数和信源参数估计问题进行了研究，提出了基于多级维纳滤波器前向分解特性的快速参数估计方法，同时提出了基于多级维纳滤波器的二维ESPRIT参数估计方法，该类方法无需协方差矩阵的估计运算及分解运算，计算复杂度较低。另外，还提出了对信源个数的估计算法。(This paper analyzes the characteristics of multistage Wiener filter, in the additive noise and the two-dimensional antenna array such as a uniform circular array, the uniform array, cross array conditions and background, the source number and source parameter estimation problem undertook study, put forward based on Multistage Wiener filter prior to the decomposition characteristics of fast parameter estimation method, at the same time based on Multistage Wiener filter 2D ESPRIT parameter estimation method, the method does not need to estimate of covariance matrix calculation and decomposition, relatively low computational complexity. In addition, also put forward for source number estimation algorithm.)