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a test system for face recognition on viseo 320X240 color image

说明：  本书<<实用小波方法>>用通俗的数学语言介绍了小波理论及其应用的基本知识，围绕时-频分析需要的问题，讨论了Fourier变换和窗口Fourier变换的不足之处，详细分析了小波变换的基本原理.(Book &lt &lt Practical wavelet method&gt &gt in simple mathematical language description of wavelet theory and its applications, basic knowledge, around the time- frequency analysis of the problem need to discuss the window Fourier transform and Fourier transform shortcomings are analyzed in detail The basic principle of wavelet transform.)

该函数，采用零值穿越法通过估计极值分布来计算极值(The function computes expected maximum and minimum values of time series by estimating probability distributions for the peaks.)

有详细的OFDM的LS，MMSN算法，注释，允许结果均有效(Detailed OFDM-LS, MMSN algorithm, notes, allowing the results are valid)

realize overlapped-add method ％[y]=overlpadd(x,h,Nfft) ％y:output sequence ％x:input sequence ％h:filter impulse response sequence ％Nfft:points of each DFT operation ％重叠相加法实现分段卷积(realize overlapped-add method% [y] = over lpadd (x, h, Nfft)% y : x% output sequence : % h input sequence : impulse response filter% Nfft sequence : DFT points of each operation% of the sum of overlapping sub-convolution Method)

水声kraken模型程序的使用说明性文章，详细讲解了kraken模型原理以及程序包的使用，非常经典，本站基本找不到类似的！(Acoustic kraken model program using descriptive article gave a detailed kraken model principle and the use of the package, very classic, basic can not find a similar site!)

阵列结构为面阵，在面阵的基础上进行求解music谱。(Array array structure, based on a planar array to solve music )

针对基本无线传感器网络DV-Hop定位算法中，计算平均跳距时产生偏小误差的原因，提出了基于平均跳距修正的DV-Hop算法。改进算法中，引入信标节点个数比例、所有信标节点平均跳距的最大值以及所有信标节点平均跳距的平均值三个因子，并采用它们对平均跳距进行修正。通过Matlab软件对算法进行仿真验证，结果表明，改进后的 DV-Hop 算法有效降低了未知节点的定位误差，是一种可行的无线传感器网络节点定位解决方案。(DV-Hop localization algorithm for wireless sensor networks, we calculate the average hop distance small error of reasons, raised the DV-Hop algorithm based on the average hop distance correction. Improved algorithm, the proportion of the number of nodes, the introduction of beacons, the beacon node average maximum jump distance as well as all the beacon nodes average jump from the average of three factors, and their average hop distance correction. Matlab software simulation results show that the improved DV-Hop algorithm effectively reduce the unknown node positioning error, the solution is a viable wireless sensor network node positioning algorithm.)

说明：  eemd算法原程序及举例，用于信号分解，在emd基础上优化程序(EEMD algorithm original program and examples for signal decomposition, optimization program based on EMD)

在现代信号处理中对信号进行的多种加窗操作程序，如hamming窗，hanning窗(In modern signal processing of signals, plus multi-window operation, such as the Hamming window, hanning window)