opnet-network

这是自己收集的一些有关信号分选的比较优秀的毕业论文，希望对需要的人有所帮助(Some comparison of the signal sorting excellent thesis)

说明：  构建了基于压缩感知的信号处理系统，并用BPDN算法将频域稀疏信号恢复出来，BPDN算法与GPSR算法类似，属于基追踪算法，复杂度较高但较为精准。(A signal processing system based on compressed sensing is constructed, and bpdn algorithm is used to recover the sparse signal in frequency domain. Bpdn algorithm is similar to GPSR algorithm, which belongs to base pursuit algorithm, with higher complexity but more accurate.)

说明：  用51单片机完美地解决凝露现象。防止元件老化(The dew phenomenon can be perfectly solved by 51 single chip computer. Preventing component ageing)

说明：  对数字信号进行相位幅度调制，并在接收端成功解调(QAM of Digital Signal and Successful Demodulation at Receiver)

说明：  采用Mackay构造H矩阵的LDPC码仿真。(LDPC code simulation of H matrix constructed by Mackay)

A differential QPSK modem using the TMS320C6711 DSK

卡尔曼滤波器介绍,个人感觉比较好的资料。(kalman (explain in detail) )

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)

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.)

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