Kalerfilter

说明：  通信系统中，信号在传输过程中会叠加上噪声，我们在分析时通常就用高斯白噪声来分析。此程序用来产生高斯白噪声。(communications systems, signal transmission in the process will superimposed on the noise, our analysis is usually used to Gaussian white noise analysis. This procedure used to produce white Gaussian noise.)

将一个512×512的lena.bmp图像进行DCT变换，对得到的DCT系数按8×8块进行分层（分三层），重组填充得到新的系数矩阵，结果发现原图像的能量集中在了新图像的左上角低频部分。(The lena.bmp an image of 512 × 512 is subjected to DCT transform, the DCT coefficients obtained by layering 8 × 8 block (of three), to obtain a new recombinant filling coefficient matrix, the energy of the original image is found concentrated in upper left corner of the low-frequency part of the new image.)

APPROXIMATE MESSAGE PASSING ALGORITHM

codes to simulate the ODE in laser

移动无线通信小区功率控制中的DPC算法，用于下行功率控制(Mobile wireless communications cell power control in the DPC algorithm for downlink power control)

This is Simple PSO Implementation

This function Simulates the swing equation of a one-machine system and returns the critical clearing time for stability.

信号时正弦波加正态零均值白噪声，信噪比10db，信号频率2kHZ，采样频率100kHZ，数据长度N=256。 (1). 用周期图法进行谱估计。(Sine wave signal plus zero-mean normal white noise, SNR 10db, frequency 2kHZ, sampling frequency 100kHZ, data length N = 256. (1) with the periodogram spectral estimation.)

这是一个简单的数据生成器，可以生成0到1之间的n维数据(This is a simple data generator can generate 0 to 1 between the n-dimensional data)

PID控制算法简单、鲁棒性强，但其参数整定过程繁琐，整定时需要控制对象的精确数学模型，而且整定往往是针对某一种具体工况进行的，缺乏自学习和自适应能力。模糊神经网络则兼备了模糊逻辑和神经网络的优点，具有函数逼近功能，具有较强的自适应、自学习能力、容错能力和泛化能力。借助于遗传算法对全局性参数进行优化设计，借助于BP算法对局部性参数进行优化，将模糊神经网络和遗传算法引入PID控制参数的整定过程，构造出一种基于模糊神经网络和遗传算法的智能PID控制器(Intelligent controller based on fuzzy neural network and genetic algorithm)