multi-objective optimization model

对随机序列进行（7,4）汉明码编码，经过bpsk调制解调，然后译码，最后绘出信噪比与误码率的关系曲线(Random sequences (7,4) hamming code encoding, after bpsk modem, and then decoding, and finally draw the signal to noise ratio and bit error rate curve)

cluster validation tools matlab toolbox

刷钻的大家用用挺好的用的呵呵 你们谩骂用吧(Brush with a very good drill for you to use the abusive use of Oh you use it)

face recogniton bASIS VERSION

The code implements the optical flow algorithm described in Gautama, T. and Van Hulle, M.M. (2002). A Phase-based Approach to the Estimation of the Optical Flow Field Using Spatial Filtering,IEEE Trans. Neural Networks, 13(5), 1127--1136. The algo proceeds in 3 steps 1. spatial filtering 2. phase gradient estimation 3. IOC using recurrent networks (The code implements the optical flow algor ithm described in Gautama, and T. Van Hulle. M.M. (2002). A Phase-based Approach to the Esti mation of the Optical Flow Field Using Spatial F iltering, IEEE Trans. Neural Networks, 13 (5), 1127-- 1136. The algo proceeds in a three steps. spat ial filtering 2. 3 phase gradient estimation. I OC using recurrent networks)

Total Variation Denoising(TV denoising (scalar fidelity term) [ROF92] Reduces the total-variation of the image. Filters out noise while preserving edges. Textures and fine-scale details are also removed. In this demo the assumption is that a white Gaussian noise is added with a-priori known (or estimated) noise power (variance). The fidelity term to the input image is calculated automatically so that the power of the noise is reduced. )

可以应用于动态卸载应力分析和能量分析，求解径向应力分析和应变。(It can be used to the analysis of the dynamic loading stress and energy .)

it is code for OLEACH

有关MPSK调制，传输模型。成型脉冲分为矩形，升余弦脉冲，平方根升余弦脉冲。M的值为2，4和8.所加噪声是高斯白噪声。(Of the MPSK modulation, transmission model. Pulse shape is divided into rectangular, raised cosine pulse, the square root raised cosine pulse. The value of M for 2,4 and 8. The increase in noise is Gaussian white noise.)

被控对象为G(S)=400/（s*s+500s）,首先运行模糊控制器程序chap4_2.m,并将模糊推理系统保存在a2中，然后运行模糊控制SIMULIK程序。位置指令为0.5sin（10t）,simulink见chap4_3(Controlled object is G (S) = 400/(s* s+500s), first run the fuzzy controller program chap4_2.m, and stored in a2 fuzzy inference system, and then run the fuzzy control SIMULIK program. Position command is 0.5sin (10t), simulink see chap4_3)