fuzzy-PID

UED数字图像隐写算法，自适应隐写算法代码(UED digital image steganography algorithm, adaptive steganography algorithm code)

发射机qam调制的matlab仿真程序。(QAM modulation transmitter matlab simulation program.)

设计一个低通数字滤波器，满足如下设计指标： 通带截止频率：0.2pi，通带波动：1dB 阻带截止频率：0.3pi，阻带衰减：15dB 要求：采用切比雪夫Ⅱ型滤波器原型，并分别采用脉冲响应不变变换法和双线性变换法进行设计，比较设计的结果，并进行分析 (Design a low pass digital filters that meet the following design specifications: passband cutoff frequency: 0.2pi, pass-band fluctuations: 1dB stopband cutoff frequency: 0.3pi, stop-band attenuation: 15dB requirements: use of Chebyshev filter prototypes with type Ⅱ and pulse response were the same transformation and bilinear transformation method designed to compare the results of the design and analysis)

运用四元数方法进行捷联惯性系统的姿态解算，并由加速度计的数据和陀螺的数据计算导航参数(The four element method for strapdown inertial navigation system of the attitude calculation, and the accelerometer and gyroscope data data computation of navigation parameters )

本MATLAB程序 用MATLAB 来实现3D 图像的匹配 用高斯卷积 来寻找 关键点 ,再利用关键点处的特征向量 通过3D向量的匹配 来实现3D 图像的配准(The MATLAB program using MATLAB to realize the matching of 3D images using Gaussian convolution to find the key points, re-use the key points of the feature vector through the 3D vector matching to realize 3D image registration)

对于原始图像中只含有较少的高频噪声，采用合适的小波分解洗漱阈值量化方法进行去噪(For the original image only contains less high frequency noise, the use of appropriate wash wavelet thresholding denoising method)

逆合成孔径雷达的多目标架次分辨，用线性调频信号模拟回波(Inverse synthetic aperture radar multi-target sorties resolution, analog echo signal with linear FM)

主成分分析的matlab源代码，很有帮助，我已经用过好多次(principal component analysis)

％ BackgroundRemoval=[true],false ％ Gain=[tsquare],linear ％ BandPass=[paul],fircls ％ CenterFrequency, auto (determined using pburg) ％ BandWidth=auto (a fraction of the CenterFrequency default=0.25) ％ ContrastStretch=[true],false ％ HilbertAmplitude=[true],false ％ HorizontalStacking=1 (a number of traces) ％( BackgroundRemoval = [true], false Gain = [tsquare], linear BandPass = [paul], fircls CenterFrequency, auto (determined using pburg) BandWidth = auto (a fraction of the CenterFrequency default = 0.25) ContrastStretch = [true], false HilbertAmplitude = [true], false HorizontalStacking = 1 (a number of traces))

本文对鲁棒控制基准设计问题倒立摆控制进行了 仿真研究(In this paper, robust control design problems in the baseline control of inverted pendulum simulation)