CLPP

matlabGUI图形界面的帮助文档，希望能对从事图像界面开发的相关人士有所帮助！(matlabGUI graphical help documentation, hoping to engage the image interface development stakeholders help!)

说明：  瑞利信道的仿真源代码，比较实用。matlab仿真(asdsa)

3D Lucas Kanade Optical Flow

用均匀线阵进行DOA估计，空间平滑法，Toeplitz法，music法(With a uniform linear array DOA estimation, spatial smoothing method, Toeplitz law, music)

使用matlab软件计算信号的样本熵，亲测有效，分享给同行研究。(Sample entropy calculation)

产生常用的雷达波形，及计算波形的模糊度函数(generate radar waveform and ambiguity function)

2 M-files are being uploaded for image Partitioning & image averaging. Some example images are attached. These Programme also Calculate time taken in Partitioning & image averaging.

设计一个数字滤波器，在频率低于 的范围内，低通幅度特性为常数，并且不低于0.75dB。在频率 和 之间，阻带衰减至少为20dB。 (1)试求满足这些条件的最低阶Butterworth滤波器。(Design a digital filter, in the range of frequencies below the low-pass amplitude characteristic is constant, and not less than 0.75dB. Between the frequency and stop-band attenuation of at least 20dB. (1) Determine the lowest-order Butterworth filter to meet these conditions.)

【程序】 MATLAB GUI 设计在大学物理中的应用(MATLAB GUI)

matlab源代码，是非负矩阵分解工具箱，包含乘法更新，最小二乘约束，投影梯度法等方法(Usage: [W,H] = nmf(X,K,alg,maxiter,speak) W: output matrix H: output matrix X: input matrix K: number of components alg: algorithm to use maxiter: maximum number of iterations speak: print to screen Algorithms: mm: Multiplicative updates method using euclidean distance measure. cjlin: Projected gradient method prob: Probabilistic non-negative matrix factorization. als: Alternating least squares. alsobs: Alternating least squares with optimal brain surgeon. Demonstrations: PET: NMF on a PET dataset Text: NMF used on a three different datasets Email, medical, and CNN. Algorithms mm: Multiplicative update method using euclidean distance measure. Described in Lee and Seung, 2001, Algorithms for Non-negative Matrix Factorization, Advances in Neural Information Processing Systems 13, 556-562. This algorithm is the most commonly used algorithm to solve NMF. cjlin: Alternative non-negative least squares using projected gradients. Author: Chih-Je)