lax

This lab exercise will cover the use of AccelDSP’s design exploration capabilities that include mapping variables to memory and unrolling loop and vector operations. You will learn how to create different hardware architectures without modifying the MATLAB source to explore different area/performance tradeoffs.(This lab exercise will cover the use of Acce lDSP's design exploration capabilities that i nclude mapping variables to memory and unrolli Vi loop and vector operations. You will learn ho w to create different hardware architectures w ithout modifying the MATLAB source to explore d ifferent area/performance tradeoffs.)

ICA梯度下降算法，里面包含了数据用来验证梯度下降算法的实现过程。对ICA的具体算法有清楚的了解。(ICA gradient descent algorithm, which contains the data used to verify the gradient descent algorithm implementation process. Have a clear understanding of the specific algorithms of ICA.)

说明：  列与约束算法解决鲁棒经济调度问题，分解成主问题和子问题解决(Column and constraint algorithms solve the robust economic scheduling problem,which are decomposed into main problems and sub-problems)

By this code developed for matlab you can find out the eyes located in the image useful for red eye removal on an image

matlab code is very good one

模拟高耸结构的随机风载荷，风速时程，风载荷时程(Analog towering structures to random wind loads, wind speed time)

This is the matlab code of improved LEACH. It describe the raffinement of LEACH protocol

维纳滤波器程序主要适用于dsp系统下的运作和开发！(weina filter program )

说明：  通过编程得到正交的1egendre(N)函数序列(Orthogonal sequence of Legendre (N) functions obtained by programming)

说明：  matlab实验 用给定的多项式，y=x3-6x2+5x-3，产生一组数据(xi,yi，i=1,2,…,n),再在yi上添加随机干扰(可用rand产生(0,1)均匀分布随机数,或用rands产生N(0,1)分布随机数)，然后用xi和添加了随机干扰的yi作的3次多项式拟合，与原系数比较。 如果作2或4次多项式拟合，结果如何？ (matlab experiment with a given polynomial, y = x3-6x2+5 x-3, generated a set of data (xi, yi, i = 1,2, ..., n), then add random noise in yi (available rand generation (0,1) uniformly distributed random number, or rands generated N (0,1) random numbers), then xi and yi to add a random disturbance polynomial fitting for the three times, compared with the original coefficient . If 2 or 4 times for polynomial fitting, the result?)