SY0917207_ChuYanlong_GD_2

置信传播(belief propagation,BP)算法的计算复杂度较高，且变量节点和校验节点间信息传递的信息可靠，但是迭代的实现，就最大似然算法来说，验证其提高译码性能的特点。 (Belief propagation (belief propagation, BP) higher computational complexity of the algorithm, and reliable information between variable nodes and check nodes of information transmission, but the realization of the iteration, the maximum likelihood algorithm, the verification of its improved decoding performance characteristics.)

可变形部件模型Deformable Part Models是目前最好的目标检测算法(Deformable component model Deformable Part Models is the best target detection algorithm)

Field声场仿真软件包，包括Field_II_PC7软件包，user_guide，常见问题解答及相关的文献(Field sound field simulation software packages, including Field_II_PC7 packages, user_guide, answers to frequently asked questions and related literature)

说明：  最小二乘一次完成算法，压缩包里以给出数据，可以运行试试看。(A complete least-squares algorithm, data compression is given a bag, you can try to run.)

协作频谱感知虽然可提高系统的感知性能， 但随着感知节点数目的增加， 系统资源的占用越来越多， 系统传输效率下降． 分析了协作频谱感知方法的感知性能， 得到协作频谱感知的感知性能与感知节点数目和接 收信噪比之间的关系， 提出了一种新的次级用户节点的选择方法， 该方法有效保证了所选择节点的感知性能， 仿真验证了该算法的有效性和可靠性．(Although the cooperative spectrum sensing can improve the perceived performance of the system, but with the perception of the number of nodes increases, more and more system resources, the system transmission efficiency decreased. Cooperative spectrum sensing method of analysis of the perceived performance of collaborative spectrum sensing by the perception of performance and perception of the number of nodes and the relationship between the received SNR, a new secondary user node selection method, which effectively guarantee perceived performance of the selected node, the simulation proves the validity and reliability.)

Uncompensated System,PHASE LEAD CANCELLATION METHOD for control system and its result comparision

产生房间脉冲响应的源代码，在多噪声，多混响的情况下，信噪比很低，信干比也很低，同时伴随着噪声是非平稳的情况。(room impluse response in the nonstation snr sir is very low circumstance)

matlab实现：高斯消元法，LU分解法，迭代法，奇异值分解，乔累斯基分解法，gauss迭代解线性方程组，jacobi迭代解线性方程组(matlab implementation: Gauss elimination, LU decomposition, iterative methods, singular value decomposition, Cholesky decomposition, gauss iterative solution of linear equations, jacobi iterative solution of linear equations)

matlab 模式识别识别数据，循环处理(Matlab pattern recognition to identify data processing cycle)

这是一个有关parzen窗估计的代码，用来估计概率密度函数。采用了方窗、指数窗、高斯窗函数三种核函数，附有matlab程序。(This is an estimate of the code related to parzen window, used to estimate the probability density function. With a side window, the index window, Gaussian window function three kinds of kernel function, with matlab program.)