ram

关于小波包去噪和小波去噪的matlab程序，对理解小波和小波包两种算法很有帮助。(On wavelet packet denoising and wavelet denoising matlab program for understanding the two algorithms of wavelet and wavelet packet helpful.)

Matlab Filter Implementation In this section, we will implement (in matlab) the simplest lowpass filter $displaystyle y(n) = x(n) + x(n-1), n=1,2,ldots,N $ (from Eq.$ ,$(1.1)). For the simplest lowpass filter, we had two program listings: Fig.1.3 listed simplp for filtering one block of data, and Fig.1.4 listed a main program for testing simplp. In matlab, there is a built-in function called filter3.3 which will implement simplp as a special case. The syntax is y = filter (B, A, x) where x is the input signal (a vector of any length), y is the output signal (returned equal in length to x), A is a vector of filter feedback coefficients, and B is a vector of filter feedforward coefficients. The filter function performs the following iteration over the elements of x to implement any causal, finite-order, linear, time-invariant digital filter:3.4

Computing GLONASS accuracy (with statistic)

基于pde的图片去噪算法，用于去除图片白噪声(Pde-based image denoising algorithm, white noise is used to remove pictures)

mimo multiplexing technigues

离散灰色的预测程序，利用最小二乘法预测数据(Discrete gray forecasting process, using least squares projections)

使用matlab 对可靠度进行分析方法及研究(calculate the reliability based on the matlab and the reasearch on it )

DF schemes provide better performance than the AF schemes. However DF schemes are more computationally intensive at the RS. Also transmit diversity seems to perform better than receive diversity. However receive diversity does not need the BS to transmit during the second phase. Hence it can schedule another user in this slot. The benefit of receive diversity will be visible when we do network simulations

by using this source code we can detect the edges of the image...which helps in the medical field and in satellite.

数学规划的matlab实现，非常全面，可以解决大量的优化问题(Mathematical Programming matlab realize, very comprehensive and can be solved a large number of optimization problems)