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删除卷积码的译码算法，分析其删除原理，给出常用删除模式(Punctured Convolutional code decoding algorithms, to analyze the deletion of principle, given the deletion of common mode)

说明：  MathType需要与其他文档编辑工具搭配使用，并且能够与office系列软件完美兼容，可用在编辑数学试卷、书籍、报刊、论文、幻灯演示等方面，是编辑数学资料的得力工具，所以受到了广大用户的一致好评。并且office系列本就内置有MathType的缩减版，这让用户们更加易于上手。(MathType needs to be used with other document editing tools, and can be perfectly compatible with office series software. It can be used in editing math papers, books, newspapers, papers, slide shows, etc. it is a powerful tool for editing math materials, so it has been unanimously praised by the majority of users. And the office series has a reduced version of MathType built in, which makes it easier for users to get started.)

叠加训练序列的最小二乘信道估计与最小均方误差均衡，QPSK调制，做了4次迭代估计的性能对比。(superimposed training, least squares (LS) channel estimation, MMSE equalizer, QPSK modulation, 4 times iteration.)

为评估TD_SCDMA下行链路联合检测接收机的性能，使用MATLAB软件进行链路仿真，本程序主要是实现用户QPSK基带调制、扩频、加扰、形成时隙、形成子帧、以及进行脉冲形成滤波，通过加性高斯白噪声信道和瑞利衰落多径信道，信道估计、联合检测等几个主要过程，整个仿真都是在基带进行的。(Link simulation to assess the performance of the TD_SCDMA Downlink joint detection receiver using MATLAB software, this program is the main user QPSK baseband modulation, spreading, scrambling to form a slot to form a sub-frame, as well as for pulse formation filter, through an additive white Gaussian noise channels and Rayleigh fading multipath channel, channel estimation, the joint detection of several major process, the entire simulation in the baseband)

实现基于ADP的多智能体体一致性,主要针对无向图研究(Implementation of Multi - Agent Consistency Based on ADP)

Underwater optical wireless communication network

802 11e协议,在ns仿真中使用,包括使用方法()

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.)

STM32F411的心电测试程序，经过测试，绝对可用。(ECG_TESTCMSIScore_cm3.c ECG_TESTCMSIScore_cm3.h ECG_TESTCMSISstartupstartup_stm32f10x_hd.s ECG_TESTCMSISstartupstartup_stm32f10x_ld.s ECG_TESTCMSISstartupstartup_stm32f10x_md.s ECG_TESTCMSISstm32f10x.h ECG_TESTCMSISsystem_stm32f10x.c ECG_TESTCMSISsystem_stm32f10x.h ECG_TESTFWlibincmisc.h ECG_TESTFWlibincstm32f10x_adc.h ECG_TESTFWlibincstm32f10x_bkp.h ECG_TESTFWlibincstm32f10x_can.h ECG_TESTFWlibincstm32f10x_crc.h ECG_TESTFWlibincstm32f10x_dac.h ECG_TESTFWlibincstm32f10x_dbgmcu.h ECG_TESTFWlibincstm32f10x_dma.h ECG_TESTFWlibincstm32f10x_exti.h ECG_TESTFWlibincstm32f10x_flash.h ECG_TESTFWlibincstm32f10x_fsmc.h)

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)