CC

Zernike moments are insensitive to translation, rotation and scaling which preserves the information contained in the images. They also reduce noise and redundancy in feature vectors.

在过程控制中，按偏差的比例（P）、积分（I）和微分（D）进行控制的PID控制器（亦称PID调节器）是应用最为广泛的一种自动控制器。(In process control, according to the ratio of deviation (P), integral (I) and differential (D) to control the PID controller (also known as PID regulators) is the most widely used an automatic controller.)

tutorial of OpenCV and Matlab

截取一段音频信号作为输入信号，分别通过低通，高通和带通滤波器，比较滤波效果。(Interception of an audio signal as an input signal, respectively, through a low pass, high pass and band-pass filter, compare filtering effect.)

有循环检测，周期性检测，基于chebyshev的水声信号分析，信号处理中的旋转不变子空间法。( There are cycle detection, periodic testing, Based chebyshev underwater acoustic signal analysis, Signal Processing ESPRIT method.)

mean shift clustering file

说明：  简要介绍了认知无线电中基于能量检测的频谱感知方法,在分析能量检测法原理和性能基础上,研究了噪声的不确定性对检测性能的影响. 仿真表明,能量检测法是一种简单、有效的频谱感知方法.(A brief introduction of cognitive radio spectrum sensing based on energy detection method, the analysis and performance of energy detection principle, based on the uncertainty of the noise effect on detection performance. Simulations show that the energy detection method is a simple, effective spectrum sensing method.)

本程序需要用到MATLAB遗传算法工具箱，但是遗传算法工具箱有很多种，这里使用GEATbx工具箱，该工具箱是由英国Sheffield大学开发。(This program requires MATLAB genetic algorithm toolbox, but there are many genetic algorithm toolbox used here GEATbx toolkit, which was developed by the University of Sheffield, UK.)

This will give you some tips on how to build a gui using matlab, PDF file

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.)