zrtmpsever1110

matlab的楚翔处理，色彩增强，二值滤波，旋转放大等功能，图像识别(the matlab Chu Xiang processing, color enhancement, binary filtering, rotation, zoom, image recognition)

说明：  在CC++中调用Matlab， 了解调用MATLAB接口(In CC++ Calling Matlab, learn to call MATLAB Interface)

现代信号处理中关于Levinson算法，Burg算法，，ARMA模型法，MUSIC算法，已通过测试。 (Modern signal processing on the Levinson algorithm, Burg algorithm, ARMA model law, MUSIC algorithm, has passed the test.)

VSplitterCtrlSnk.cls 可将窗口分为两部分并可随意调整大小的类(VSplitterCtrlSnk.cls window can be divided into two parts may arbitrarily large adjustment small type)

with study image process sample program

专家PId控制，求三阶传递函数的阶跃响应，采用专家PID设计控制器(Expert PId control, and the third order transfer function of the step response，The use of expert PID controller design)

2fsk的解调C语言实现，该程序实现2fsk的解调(2fsk demodulation C language, the program 2fsk demodulation)

2D Multi-Parameter Pie Control

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)

精通Matlab---综合辅导 各种Matlab操作(Proficient in Matlab--- Comprehensive Counseling Matlab operation)