griddrawn

EMD分解的matlab代码，克服了传统筛选停止准则中的分母为零的问题(Empirical Mode Decomposition based on matlab)

用MATLAB生成bpsk信号，并通过AWGN信道的仿真。(MATLAB bpsk signal generation, and through the AWGN channel simulation.)

Image Quality Assessment From Error Visibility to structual similarity(Image Quality Assessment From Error Visibility to structual similarity)

matlab实现的目标跟踪算法，经调试能用。(Target tracking algorithm matlab implementation, debugging can be used.)

实现基于卡尔曼滤波的圆球运动轨迹跟踪,程序很简单,适合初学者(Ball trajectory tracking based on Kalman filtering)

机器学习和模式识别的常用算法，独立主元分析，常用于人脸图像识别。此压缩包含有完整的用于人脸图像的算法源码(Commonly used machine learning and pattern recognition algorithms, independent component analysis, commonly used for facial image recognition, speech recognition, etc.)

L3_1.m: 純量量化器的設計(程式) L3_2.m: 量化造成的假輪廓(程式) L3_3.m: 向量量化器之碼簿的產生(程式) L3_4.m: 利用LBG訓練三個不同大小與維度的碼簿並分別進行VQ(程式) gau.m: ML量化器設計中分母的計算式(函式) gau1.m: ML量化器設計中分子的計算式(函式) LBG.m: LBG訓練法(函式) quantize.m:高斯機率密度函數的非均勻量化(函式) VQ.m: 向量量化(函式) L3_2.bmp: 影像檔 lena.mat: Matlab的矩陣變數檔 (L3_1.m: scalar quantizer design (the program) L3_2.m: quantitative result of the false contour (the program) L3_3.m: Vector quantizer code book of the generation (the program) L3_4.m: training in the use of LBG three different size and dimension of the code book and separate VQ (program) gau.m: ML quantizer design in the denominator of the calculation formula (function) gau1.m: ML quantizer design in the calculation of molecule-type ( function) LBG.m: LBG training method (function) quantize.m: Gaussian probability density function of the non-uniform quantization (function) VQ.m: vector quantization (function) L3_2.bmp: image file lena.mat: Matlab matrix variable file)

WCDMA的simulation实现，很有用。(WCDMA realize the simulation, very useful.)

PCNN量化，利用人眼视觉特性对图像进行量化，保持细节信息。(PCNN quantified using the human visual system to quantify the image, keeping details.)

EKF_UKF_PF三种算法的比较粒子滤波matlab仿真程序(EKF UKF PF Comparison of the three algorithms particle filter matlab simulation program)