zfk_example

可实现计算，利用C语言对PSO进行了编程。(can be calculated using the C language for the PSO program.)

四种支持向量机SVM工具箱的分类与回归算法。MATLAB编写(Vector Machine SVM classification and regression algorithm toolbox four support. Written in MATLAB)

denoising image with DWT

1、利用自相关法找出含有大量数据的周期信号的周期 2、利用互相关对齐含有大量数据的多路采样信号以便分析 3、使用分段平滑经过求导后的含有干扰的图像曲线(1, using the autocorrelation method contains large amounts of data to identify the period of the periodic signal 2, using the cross-correlation contains a large amount of data aligned with the sampling signal for the multiplexed analysis, the use of segmented through derivative after smoothing with interference by the image curve)

先做灰階圖片，再利用IMHIST來做統計，在做SMOOTH來讓使用者更容易了解圖片的特色 (Grayscale images do first, and then use IMHIST do statistics, SMOOTH do to make it easier for users to understand the characteristics of the picture)

projet 3 is very importand

melfiltter function use for speech recognition and have mel filter bank

2-dimensional PCA implementation for different mean. Using highest eigen value to project the data.

OFDM多载波调制方式的DFT变换，以及OFDM波形的仿真(OFDM multi-carrier modulation of the DFT transform, and the OFDM waveform simulation)

粒子群优化算法（PSO）是一种基于种群的随机优化技术，由Eberhart和Kennedy于1995年提出。粒子群算法模仿昆虫、兽群、鸟群和鱼群等的群集行为，这些群体按照一种合作的方式寻找食物，群体中的每个成员通过学习它自身的经验和其他成员的经验来不断改变其搜索模式。 (Particle swarm optimization algorithm (PSO) is a population based stochastic optimization technique, put forward by Eberhart and Kennedy in 1995. Particle swarm optimization (pso) algorithm on insects, herds, flocks and schools of fish swarm behavior, and these groups to find food in a cooperative way, each member of the group itself by learning experience and the experience of the other members to continuously change its search pattern.)