callmatlab

考虑载波的qpsk信号在瑞利信道上的仿真(consider Carrier qpsk Rayleigh channel signal simulation)

ant colony algorithm for tsp calculate the shortest path between differnt cities. traveler pass from any city onr time

一个基于MATLAB的径向基的神经网络源程序(a MATLAB-based RBF neural network source)

标准粒子群优化算法的程序。运用matlab编写。(Standard particle swarm optimization procedures. Using matlab prepared.)

说明：  盲信号分离中性能评价的串音误差分析的MATLAB程序(Performance Evaluation of blind signal separation in crosstalk error analysis of MATLAB program)

最差性能下的稳健波束算法，包含SMI.LSMI,ROBUST等算法，适合初学者。(Robust beamforming using worst case。)

粒子群优化算法，优化处理，matlab代码，学习必看(Particle swarm optimization, optimization of processing, matlab code, learning must-see)

本程序主要是处理图像的，主要是用于求解被高幅度尖锐噪声而不是高斯分布噪声污染的信号分离问题~把问题矩阵分解成一个低秩表示的矩阵和一个稀疏矩阵，优化目标函数，用ALM方法是求解的~(This procedure is mainly to deal with the image, mainly for solving high-amplitude sharp noise rather than Gaussian noise distribution of the signal separation problem- the problem matrix is decomposed into a low-order matrix and a sparse matrix, optimization objective function, ALM method is the solution ~)

该源码用于分析信号的时频特性，wigner-ville分布，单信号以及两个信号间的正交wigner-ville分布(wigner-ville distribution)

详细讲解了25个MATLAB图像与视频处理实用案例（含可运行程序），涉及雾霾去噪、答题卡自动阅卷、肺部图像分割、小波数字水印、图像检索、人脸二维码识别、车牌定位及识别、霍夫曼图像压缩、手写数字识别、英文字符文本识别、眼前节组织提取、全景图像拼接、小波图像融合、基于语音识别的音频信号模拟灯控、路面裂缝检测识别、视频运动估计追踪、Simulink图像处理等多项重要技术(Explain in detail the 25 MATLAB image and video processing utility case (including operating procedures), involving haze denoising, sheet automatic marking, lung image segmentation, wavelet digital watermarking, image retrieval, face recognition, license plate location and two-dimensional code recognition, image compression, Hoffman handwritten digit recognition, character recognition, text English anterior segment tissue extraction, panoramic image mosaic, image fusion, light control, analog audio signal of speech recognition pavement crack detection and identification, video tracking, motion estimation of Simulink image processing technology based on a number of important)