第三章

Draws Phase Portraits

大学数学实验，ISBN 9787302102406,部分习题源代码(Experimental Mathematics, ISBN 9787302102406, part of the exercises the source code)

The most widely used transform for image fusion at multi scale is Wavelet Transform since it minimizes structural distortions. But, wavelet transform suffers lack of shift invariance & poor directionality. These disadvantages are overcome by using our proposed method that is Un-decimated Discrete Wavelet Transform.

useful backpropagation

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)

激光谐振腔中激光模式的仿真，包括不同腔型(Simulation of the laser mode in the laser cavity, including the type of cavity)

New algorithm improves the way computers interpret readings of the brain’s electrical signals

振动信号三分之一倍频程谱，估计随机振动信号的频率谱函数(One-third octave spectra of the vibration signal)

MIMO中基于天线选择的信道容量仿真，程序中涉及不同的天线选择算法(Capacity of MIMO Channel With Antenna Selection)

三边测量、质心算法、三点定位法、TOA定位算法等一些算法(Trilateration, centroid algorithm, three-point positioning method, TOA location algorithm and some algorithms)