lpc_specgram

人工神经网络的6个基本问题，matlab代码。(six basic problem in neutral network with matlab)

完成M=4的DPSK通信系统的蒙特卡洛仿真，信号波形为snr2ps(snr_in_dB) 求出以dB为单位的给定信噪比的比特误码率和符号误码率.(Completion of M = 4 of the DPSK communication system Monte Carlo simulation, the signal waveform is snr2ps (snr_in_dB) calculated in units of dB signal to noise ratio for a given bit error rate and symbol error rate.)

pattern recognistion book discribing baylesion classification

一篇2007年全国数学建模的优秀获奖论文，有助于预测问题的数学建模的写作。(An excellent winning paper of the mathematical modeling in 2007, writing help predict problems of mathematical modeling.)

合成孔径雷达SaR仿真--RD,CS(SaR synthetic aperture radar simulation-- RD, CS )

该算法功能是运动视频帧目标检测，实验效果较好，值得一看(The algorithm feature is motion video frame target detection experiment better, worth a visit)

一本关于非线性时间序列分析的书籍，本来论坛有人上传过，但不能下载了。(One on nonlinear time series analysis of books，Originally it was uploaded, but can not download)

matlab实现canny算子进行图像边缘提取。(canny operator matlab)

说明：  SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；调用时Genetic（目标函数名） 使用SGA时，首先需要一个目标函数（像AimFunc.m），该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方(SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m)

说明：  计算Daubechies小波尺度函数滤波器系数(Function to compute the Daubechies scaling coefficients)