bag_words_demo

在机械故障中，对包含故障频率的某一段频率进行细化分析，从而得到更准确地故障频率(In mechanical failure, the failure frequency contains a section for detailed frequency analysis to obtain a more accurate fault frequencies)

函数的近似式，构造函数的逼近方法，从而得到比较准确的函数图象(Is often necessary to obtain the function approximation constructor approximation method)

fdtd程序，线馈矩形微带天线的分析文档，其中包括两种模型的建立，有matlab和C++程序。(fdtd program, line fed rectangular microstrip antenna analysis documents, including the establishment of the two models, with matlab and C++ program.)

mean absolute difference between two images

matlab机器人工具箱最新版robot9.8，里面有关于该工具箱的各方法的详细介绍的pdf文件。(matlab Robot toolbox latest version robot9.8, there are various methods descripted on the toolbox pdf file )

CGSVD Compact generalized SVD of a matrix pair in regularization problems. sm = cgsvd(A,L) [U,sm,X,V] = cgsvd(A,L) , sm = [sigma,mu] Computes the generalized SVD of the matrix pair (A,L): [ A ] = [ U 0 ]*[ diag(sigma) 0 ]*inv(X) [ L ] [ 0 V ] [ 0 eye(n-p) ] [ diag(mu) 0 ] where U is m-by-n , sigma is p-by-1 V is p-by-p , mu is p-by-1 X is n-by-n . It is assumed that m >= n >= p, which is true in regularization problems. Reference: C. F. Van Loan, Computing the CS and the generalized singular value decomposition , Numer. Math. 46 (1985), 479-491. Per Christian Hansen, IMM, 12/19/97. Initialization.

4轮随机路面时域输入,根据路面功率谱，随机生成时域路面文件(4 wheel randm road input)

Compress an decomprres DCT=Domain Transform Coding for image.

1.AWGN条件下QPSK、16QAM、64QAM的仿真；2.单径及多径瑞利信道下三种调制的仿真；3.100MHz多径莱斯信道下三种调制的仿真；4.100MHz多径信道下三种调制的Matched Filter Bound(MFB)仿真(1. Under the condition of AWGN QPSK, 16 qam and 64 qam simulation 2. Single diameter and multipath Rayleigh channel under three kinds of modulation simulation 3.100 MHz channel multipath rice, under three kinds of modulation simulation 4.100 MHz multipath channel under three kinds of modulation Matched Filter Bound (MFB) simulation)

说明：  matlab应用于神经网络：利用BP算法及Sigmoid函数，研究函数的逼近问题。(matlab applied to neural networks: the use of BP algorithm and Sigmoid function is to study the function approximation problem.)