CarAgent_down

ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。 基本思想： 在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。 (Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach. Basic idea: The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions. After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour. Literature: - Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)

该程序为MATLAB源码，使用PNN算法进行分类。(Classify using a probabilistic neural network)

改进的快速模糊C- 均值聚类算法。基于FFCM算法，提出了新的改进，效果很好。(The rapid improvement c-means clustering algorithm.Based on FFCM algorithm, and puts forward a new improved, the effect is very good. )

说明：  Suboptimum receiver noise and interference estimation for AWGN channel

该程序为matlab源代码，功能为仿真圆环阵的单元选择算法和笔形波束综合(failed to translate)

CrossOver code in matlab

采用LQR方法的悬臂梁振动主动控制的matlab程序(LQR method using active vibration control matlab program cantilever)

小波包分析提取振动信号中的特征频率，仿真效率很高的，采用累计贡献率的方法。( Wavelet packet analysis to extract vibration signal characteristic frequency, High simulation efficiency, The method of cumulative contribution rat.)

单一频率的正弦相关法动态测试系统的测试方法简单，不需要对系统进行辨识。只需要观察被测系统输出信号的相差和幅值变化。通过扫频的方法测量在不同的频率点下的幅值和相位变化。在工程应用中，只需要知道被测系统的相位变化在正常的范围内就可以视系统的动态性能正常。该仿真算法只是建立了一个模型。在实际运用时还需要变换测试信号的频率和周期。(A single frequency sinusoidal correlation method of testing dynamic testing system is simple, does not require system identification. Only need to observe the difference between the measured system output signal and amplitude change. Swept through the method of measurement points at different frequencies under the amplitude and phase changes. In engineering applications, only need to know the system under test changes in the normal phase it may be possible within the framework of the dynamic performance of the system to normal. The simulation algorithm is the establishment of a model. In the practical application of test signals also needed to change the frequency and periodicity.)

基于MATLAB的FIR滤波器设计与滤波(MATLAB-based FIR filter design and filtering)