07102419104228

说明：  小波变换通过matlab实现s小波变换代码，给出变换结果。(Wavelet transform, through the realization of s wavelet transform matlab code, given the results of transformation.)

IndexOrder : can change indexing Order Right to left or Left To Right , U can Change Default From en_RightToLeft to en_LeftToRight if you want. ##### HorizontalyOrder : if set to false then vertical ordering ##### SetFocusFirstINDEX : if set to true then Finaly First Component in form who have index = 0 Setfocuse

OpenCV 2 Computer Vision Application Programming Cookbook

小波变换进行图像压缩 采用matlab编程 (Wavelet transform for image compression Using matlab programming)

基于均匀圆阵的信号二维方向角高精度估计 (Angular precision estimates based on two-dimensional uniform circular array signal direction)

Very low cost, low component count charger/adapter – replaces linear transformer based solutions • Extremely simple circuit configuration designed for high volume, low cost manufacturing

用MATLAB/SImulink 搭建的单相光伏并网逆变器仿真，用PR电压环控制器进行控制(Single-phase photovoltaic grid-connected inverter simulation with MATLAB/SImulink, control with PR voltage ring controller)

基于C++程序语言的UDF全英文使用手册(UDF mannual)

基于蒙特卡洛方法的主动声纳信号检测性能分析.主动声纳信号检测性能的分析上,目前在计算机仿真中一般假定混响包络的统计特性符合瑞利分布模型。基于此模型,已经有了较完善的理论。然而,在现代高分辨声纳系统中,混响包络的统计特性并不符合瑞利分布模型。此时在接收机工作特性分析时存在大量繁琐的公式推导。因此该文采用蒙特卡洛(M onte Carlo)统计试验方法,实现对瑞利分布混响背景下的主动声纳信号检测性能分析。结合对接收机工作特性曲线的仿真,得出了检测概率的理论值和仿真结果的误差曲线。误差曲线表明,蒙特卡洛方法在主动声纳信号检测的性能评估中是可行的。 更多还原 (Active sonar signal detection performance analysis, computer simulation is generally assumed that the statistical properties of the reverberation envelope distribution model of Rayleigh active sonar signal detection performance analysis based on the Monte Carlo method. Based on this model, has been a better theory. However, in the modern high-resolution sonar system, the statistical characteristics of the reverberation envelope does not comply with the Rayleigh distribution model. At this point in the receiver operating characteristic analysis, there is a lot of tedious formula derivation. In this paper, using the Monte Carlo (M onte Carlo) statistical test methods, active sonar signal detection performance analysis reverberation background Rayleigh distribution. The receiver operating characteristic curve simulation obtained the error curve of the theoretical value and the simulation results of the detection probability. The error curve shows that the Monte Carlo method in the assessm)

pattern classification, second edition, 中文版(pattern classification, second edition, chinese version)