puma3d

包括0均值和给定方差的高斯白噪声生成函数，以及复高斯白噪声生成函数(Including the 0 mean and given variance Gaussian white noise generating function, as well as complex Gaussian white noise generating function)

基于格-梯型结构的RLS算法,结合格型滤波器阶数可调与横型滤波器时间可调的特性，设计出阶数和时间分别递推的自适应滤波器，使得平方误差最小.(Based on the lattice- ladder structure of the RLS algorithm, combined with the lattice filter order of adjustable features adjustable cross-type filter time, recursive adaptive filter design order and time, so that the minimum squared error.)

the above function is useful to find the derivative of a bspline

Linear programming with matlab. A good book about thia topic.

SVM分类程序，可以进行多类分割，该程序的优点是可以直接运行处结果，对SVM初学者十分有利。(Svm classfication program which could run fluently without boring small bugs.)

说明：  近场声全息学习程序，适合没有基础或少量基础的研究者学习或解决NAH问题。(Nearfield Acoustic Holographic Learning Programs and Examples)

clear all clc t=0:1/1000:10-1/1000 s=sin(2*pi*t) snr=20 s_power=var(s) varience of s linear_snr=10^(snr/10) factor=sqrt(s_power/linear_snr) noise=randn(1,length(s))*factor x=s+noise Ó É SNR¼ Æ Ë ã Ë æ » úÔ ë É ù x1=noise Ô ë É ùÔ ´ Ê ä È ë x2=noise w1=0 È ¨Ï µ Ê ý ³ õ Ö µ w2=0 e=zeros(1,length(x)) y=0 u=0.05 for i=1:10000 LMSË ã ·¨ y(i)=w1*x1(i)+w2*x2(i) e(i)=x(i)-y(i) w1=w1+u*e(i)*x1(i) w2=w2+u*e(i)*x2(i) end figure(1) subplot(4,1,1)

wcdma simulation without rake receiver.

iris fisher classification

name:UTKARSH guide: A.S.ABHYANKAR SIR this code is for wavelet transform using lifting scheme. but this code is not having in-place computational capacity.