WAVA_Dec

运行在QT 上，而且基于TCP协议上的，连接服务器的服务端口(TCP-based server service ports on QT)

本人用石川法求齿轮的啮合刚度，完整版的程序，里面可以运行啮合刚度图(Meshing Stiffness of Gears Calculated by Ishikawa Method)

雷达点迹关联与点航关联的matlab程序(Matlab program of radar dot correlation and dot correlation)

说明：  前已提出的频谱感知方法主要包括匹配滤波器检测、 能量检测、 循环平稳特征检测以及多分辨率频谱感知. 这些方法均为单节点感知方法.然而，在阴影和深度衰落情况下， 单个节点的感知结果并不可靠， 因此， 需要对多个节点的感知结果进行融合，以提高检测可靠性， 即协作感知技术. 文献采用“或” 准则对各个 CR 感知结果进行融合. 文献则提出了基于 D-S 证据理论的协作频谱感知算法，虽然该算法的性能比“或” 准则或“与”准则要好， 但需要存储大量历史信息， 算法的计算复杂度也很高. 文献中分析了采用似然比检测(likelihood ratio test， LRT) 的软判决与采用“与” 准则的硬判决的性能， 结果表明采用软判决的协作感知性能更优(Previously proposed spectrum sensing methods mainly include matched filter detection, energy detection, cyclostationary feature detection and multi-resolution spectrum sensing. These methods are all single node sensing methods. However, in the case of shadow and deep fading, the sensing results of single node are not reliable, so, It is necessary to fuse the sensing results of multiple nodes to improve the detection reliability, i.e. cooperative sensing technology. In the literature, "or" criterion is used to fuse the CR sensing results. In the literature, a cooperative spectrum sensing algorithm based on D-S evidence theory is proposed. Although the performance of the algorithm is better than "or" criterion or "and" criterion, a large amount of historical information needs to be stored, The computational complexity of the algorithm is also very high. In the literature, the performance of the soft decision based on the likelihood ratio test)

使用Jakes所假设的模型，用来产生信道抽头延迟线模型中的抽头增益过程所需的多普勒频谱成形滤波器有多种实现方法。时域FIR滤波器是最常用的一种实现方法。(Assumed the use of Jakes model, used to generate the channel-tap-tap delay line model of the process gain the necessary Doppler spectrum shaping filter has a variety of implementations. Time domain FIR filter is an implementation of the most commonly used method.)

用于通信方向中的信道估计，使用的语言是matlab(Used for channel estimation in the communication direction, the language used is matlab)

为了对空间辐射源进行精确定位" 建立了基于任意阵列对多目标源进行二维DOA估计的数学模型。将 MUSIC算法推广到三维空间阵列可以对辐射源进行二维高精度测向,但由于其需要估计接收数据的协方差矩阵和进行特征分解, 因而其计算量较大。利用多级维纳滤波器的前向递推获得信号子空间和噪声子空间，不需要估计协方差矩阵和对其进行特征分解，从而降低了MUSIC算法的计算量。将文中的方法应用于任意阵列的二维DOA估计中进行计算机仿真和实际侧向系统性能验证,实验结果均表明该方法达到了MUSIC算法的性能,但与常规MUSIC算法相比降低了计算量.( In order to space radiation source for precise positioning" based on arbitrary array to multiple target source 2D DOA estimation model. The MUSIC algorithm is extended to three-dimensional space to two-dimensional array of radiation source for high precision direction finding, but due to the need to estimate the covariance matrix and eigenvalue decomposition, and the large amount of calculation. Use of multistage Wiener filter forward recursion received signal and noise subspace, does not need to estimate the covariance matrix and the eigenvalue decomposition, which reduces the computation of MUSIC algorithm. This method is applied to an arbitrary array DOA estimation for computer simulation and actual lateral system performance verification, the experimental results show that this method achieves the performance of MUSIC algorithm, but with the conventional MUSIC algorithm reduces the calculation amount.)

说明：  实时声音采集，双通道采集声音信号，并且进行降噪处理和FFT变换(Real time sound acquisition)

给出了BPSKMSKQAMGMSK的详细代码，可以直接在MATLAB中运行，并且有误码率的仿真。(BPSKMSKQAMGMSK given a detailed code, can be run directly in MATLAB, and BER simulation.)

　?　　bpsk信号的产生可用与仿真的输入信号(? Bpsk signals generated can be used with simulation of the input signal)