m1

三分之一倍频程，用于信号的能量分析，特别是噪声频道的能量(octave for noise analysis)

提供粒子群算法的部分Matlab程序，在此基础上学习粒子群算法更方便、快捷。(Part of PSO algorithm provides Matlab program, in this based on particle swarm optimization learning more convenient and faster.)

last compression for image and ECG

说明：  通过BP神经网络学习一个3维的函数的源代码，为加快速度，程序初始化的为已经经过学习的得到结点权值，如果预设为随机值，将重新学习。(BP neural network through a three-dimensional study of the function of the source code to speed up, the initialization procedure for the study has already been node weights, if limited to random value, re-learn.)

matlab project and mphil project document is add here

说明：  OFDM是将高速串行数据分成成百上千路并行数据,并分别对不同的载频进行调制,这种并行传输体制大大扩展了符号的脉冲宽度,提高了抗多径衰落的性能。同时,在传统的频分复用方法中,各子载波之间的频谱互不重叠,频谱利用率较低。而采用OFDM技术,一个OFDM符号之内包括多个经过调制的子载波的合成信号,每个子载波在频谱上相互重叠,这些频谱在整个符号周期内满足正交性,因而在接受端可以保证无失真恢复,从而大大提高频谱利用率。(OFDM divides high-speed serial data into hundreds of parallel data channels and modulates different carrier frequency separately. This parallel transmission system greatly expands the pulse width of symbols and improves the performance of anti-multipath fading. At the same time, in the traditional method of Frequency Division multiplexing, the spectrum between the sub-carriers does not overlap each other, the spectrum utilization ratio is low. In the case of OFDM, an OFDM symbol consists of multiple modulated sub-carriers, each of which overlaps in the spectrum, which is orthogonal throughout the symbol period, thus, no distortion recovery can be ensured at the receiving end, thus greatly improving the spectrum utilization ratio.)

说明：  用matlab编写的图片浏览器，GUI界面的。运行文件夹中的.m文件(Prepared using matlab image viewer, GUI interface. Running in the folder. M file)

一个很好的学习图像处理的函数的例子程序，对于初级学习者来说，有很好的帮助，对于初学习者非常适合！(a good learning image processing function examples procedures for primary learners, good help, very suitable for early learners!)

图像去模糊---matlab，信号与系统，大作业题目，非常不错，希望您喜欢。(Image deblurring--- matlab, signals and systems, large job title, very good, I hope you like it.)

图像处理的MATLAB程序（教学使用）-非线性灰度变换法(MATLAB image processing procedures (Teaching)- linear gray level transformation method)