LicensePlatRecognitionSystemDesignandImplementatio

Advances in data collection and storage capabilities during the past decades have led to an information overload in most sciences. Researchers working in domains as diverse as engineering, astronomy, biology, remote sensing, economics, and consumer transactions, face larger and larger observations and simulations on a daily basis. Such datasets, in contrast with smaller, more traditional datasets that have been studied extensively in the past, present new challenges in data analysis. Traditional statistical methods break down partly because of the increase in the number of observations, but mostly because of the increase in the number of variables associated with each observation. The dimension of the data is the number of variables that are measured on each observation.

图片点阵离散及傅里叶正变换和傅里叶逆变换(Image discrete lattice and Fourier transform)

SPWM控制的逆变器simulink范例。通过更改开关的占空比来调节输出电压(Simulink example SPWM inverter control. By changing the switch duty cycle to regulate the output voltage)

自适应均衡器的LMS算法实现及其仿真 :自适应均衡器已广泛应用于通信、雷达、声纳、控制和生物医学工程等许多领域,为克服多径衰落和信道失真 引起的码间干扰,实时跟踪移动通信信道的时变特性,笔者设计了一个基于LMS 算法的自适应线性均衡器,并通过改变步 长因子Δ来分析其收敛速度和均方误差特性.(Adaptive equalizer of LMS algorithm and its simulation)

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

lectures for singular spectrum analysis

说明：  多种兴趣点算子，主要有giles,harris,harrislaplace,susan,log.(A variety of points of interest operator, mainly giles, harris, harrislaplace, susan, log.)

数字信号处理课程设置 里面已经有了完整的源代码 1声音的录制保存 2播放按钮 三.读取按钮 四. 8000点频谱分析按钮五. 16000点频谱分析按钮 六. 滤波器的图和录音滤波后的图,并保存按钮七. 读取滤波后的波形,并与原始声音对比… 5. 界面制作说明 6．初始化界面(Digital Signal Processing)

给出Henon的模型x(i+1)=1+y(i)-a*x(i)^2 y(i+1)=b*x(i) (Henon model given x (i+ 1) = 1+ Y (i)-a* x (i) ^ 2 y (i+ 1) = b* x (i))

1．进一步掌握栈的基本操作的实现。 2．掌握栈在算术表达式的计算方面的应用。 (1. Further understand the basic operation of the stack implementation. 2. Control stack in the calculation of arithmetic expression applications.)