sangeetha_klnit_vlsi

四元数的隆戈库塔法，利用隆戈库塔队四元数进行更新，可以从中提取出载体姿态信息(Quaternion Longo Kutta method, using Longo Coulthard team quaternion update, can be extracted from vector-profile information)

详细的源程序介绍matlab设计各种滤波器，包括切比雪夫，巴特沃兹等滤波器的设计(The detailed design of various filters matlab source description, including Chebyshev, Butterworth filter design, etc.)

用matlab做的图像配准程序，可以实现图像配准(Image registration )

ksvd字典学习算法和改进的ksvd字典学习算法，并自动计算psnr。(ksvd dictionary learning algorithm and improved ksvd dictionary learning algorithm and automatically calculates psnr.)

MERCHEL教授研究声场合成时使用的源码，非常有参考价值，和大家共享一下(Professor MERCHEL occasion to study the use of sound source, a very valuable reference, and share what)

说明：  自己写的CMAC 小脑神经网络逼近非线性函数(Write your own CMAC CMAC approximate nonlinear functions)

this is a harr classifier for frontal face

This folder contains Matlab functions for the Enhanced Interval Approach (EIA) in: Simon Coupland, J. M. Mendel and Dongrui Wu, “Enhanced Interval Approach for Encoding Words into Interval Type-2 Fuzzy Sets and Convergence of the Word FOUs,” IEEE World Congress on Computational Intelligence, Barcelona, Spain, July 2010. All following functions were tested in Matlab 7.4.0 (R2007a) under Windows 7: centroidIT2: Compute the centroid of an IT2 FS. EKM: Implement the Enhanced KM algorithms. IA: Implement the Interval Approach for word encoding. mainJPL: Illustrate IA and EIA using the JPL dataset. mainWeb: Illustrate IA and EIA using the Web dataset. mg: Compute the membership grades of a vector of numbers on a T1 FS. plotFigures: Plot Figs. 3.18, 3.19 and 3.20 in the book. plotIT2: Plot an IT2 FS. Last modified by Dongrui Wu (dongruiw@usc.edu), May 2, 2010.

设计特定的进化操作或约束修正因子。文献[ 28 ]采用罚函数法,利用非固定多段映射罚函数对约束优化问题进行转化,再利用PSO求解转化后的问题,仿真结果显示PSO相对进化策略和遗传算法有优越性,但其罚函数的设计过于复杂,不利于求解(Operation or design of the evolution of specific binding correction factor. Literature [28] The penalty function method, using non-stationary multi-stage fine mapping function to transform constrained optimization problem, and then transformed using PSO to solve the problem, simulation results show that PSO is relatively evolution strategy and genetic algorithm has advantages, but the penalty function The design is too complex and not conducive to solving)

UDP packets are used to send data from one computer to another over a network or from one application to another within a single computer. The judp.m program uses Matlab s ability to call Java code to enable it to send and/or receive UDP packets. One Matlab session can communicate with another Matlab session (on the same machine or over the network) or it can communicate with a completely different program (again, on the same machine or over the network).