yuanzhuomoxing

Matlab关于分水岭算法及改进的分水岭算法(Matlab on the watershed algorithm and improved watershed algorithm)

说明：  mp3read和mp3write是直接写在wavread更换和wavwrite访问MPEG音频MP3文件。其特点包括： -旨在重复wavread完整语法和wavwrite -还支持上的动态下采样和渠道mpg123的合并-文件优化的很长的MP3 -只需要解码的部分-使用popen函数进行编码，以避免大量临时文件（可用时-看到我popenw墨西哥） -试图消除写保护回路的时间序列文件/通过阅读“热身”样本-包括辅助二进制软件包在Linux，Windows，Mac的PPC的，苹果，英特尔，和Mac英特尔- 64位(These versions of mp3read and mp3write are direct drop-in replacements for wavread and wavwrite to access MPEG audio mp3 files. Features include: - aims to duplicate complete syntax of wavread and wavwrite - also supports on-the-fly downsampling and channel merging of mpg123 - optimized for very long mp3 files- only decodes the needed portion - uses popen for encoding to avoid a large temporary file (when available- see my popenw mex) - attempts to preserve time alignment of files through read/write loop by removing "warm up" samples - package includes helper binaries for Linux, Windows, Mac-PPC, Mac-Intel, and Mac-Intel-64bit )

dsb modulation with matlab

houfangjiaohui matlab chengxu

基于多目标网络优化问题，运用改进的遗传算法，进行算法寻优，以求运用最短时间，达到最高精度(Based on the multi-objective network optimization problem, the improved genetic algorithm is used to optimize the algorithm in order to achieve the highest accuracy by the shortest time.)

例1 采用动量梯度下降算法训练 BP 网络。 例2 采用贝叶斯正则化算法提高 BP 网络的推广能力。在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络，使其能够拟合某一附加有白噪声的正弦样本数据。(Example 1 uses the momentum gradient descent algorithm to train the BP network. Example 2 uses the Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, the LM optimization algorithm (trainlm) and the Bayesian regularization algorithm (trainbr), to train the BP network to fit a sine sample with white noise data. )

Matlab file okumura models

CBCT图像利用bregman方法进行图像重建(CBCT image image reconstruction methods use bregman)

code composer optimizer

MATLAB经典教程，内容比较全面，易于自学，能够帮助你精通MATLAB(MATLAB Tutorial classic, content more comprehensive, easy to self-learning, can help you proficient in MATLAB)