iir-filter-design

说明：  VQ声纹识别算法和实验. 摘要：采用线性预测倒谱系数(1inear prediction cepstrum coefficient，LPCC)作为语音的特征参数，矢量量化(vector quantity，VQ)方法进行模式匹配，探讨声纹识别以实现身份认证，并对此识别方法进行了相关的实验．通过验证，这种方法可以区分不同的说话人，并且在做说话人辨认实验时可达到较高的识别率．(VQ pattern recognition algorithms and experimental sound. Abstract: The linear prediction cepstral coefficients (1inear prediction cepstrum coefficient, LPCC) as the voice of the characteristic parameters, vector quantization (vector quantity, VQ) method of pattern matching, pattern recognition of sound in order to achieve authentication and identification methods relevant to this experiment. Validated, this method can distinguish between different speaker, and speaker identification experiments to do to reach a higher recognition rate.)

讲述了基于空域和频域的迭代盲复原算法，是图像盲复原的一个研究热点，效果很好。(About the spatial and frequency domain based on the iterative blind restoration algorithm, image restoration is a hotspot, the effect is very good.)

Calculate QTF for designing SDM

它提供了龙格-库塔法，用以解决微分方程这类方程。(It provide the Runge-Kutta to solve differential equation.)

This is a Three Phase Inverter Simulation in MATLAB Simulink Environment.

This file contains a set of 3D models with the following characteristics: ■p: nx3 array of 3D points ■t: ntx3 array of triangles id. First points flagged as 1. ■tnorm: ntx3 arrays normals of triangles with outward orientation. You can use this package to test your algorithms. Models can be dowloaded here. All models were created with the new MyRobustCrust. In the new version all triangles have the same orientation, this allows for nice graphics rendering.

matlab code for EAMMH routing protocol for WSN

电力电子仿真模型搭建,一个变换器搭建过程(electronc power)

NUMERICAL OPTIMIZATION: This is steepest descent method with constant step length to find the minima of f(x, y) = xy exp(− 2x^2 − y^2 + 0.3y) Graphical represxentation in 5 ways of solution, simple and clear explained. (NUMERICAL OPTIMIZATION: This is steepest descent method with constant step length to find the minima of f(x, y) = xy exp(− 2x^2 − y^2+ 0.3y) Graphical represxentation in 5 ways of solution, simple and clear explained. )

Intelligent System for Worm Detection Ibrahim A. Farag Faculty of Computers and Information Cairo University Egypt Mohammed A. Shouman Faculty of Computers and Information, Zagazig University Egypt Tarek S. Sobh Information Systems Department Egyptian Armed Forces Egypt