资源列表
curvedde
- Where H represents the hermitian transpose. The complex vector of weight adjust the amplitude and phase. The desired beam can be produced by adding together the MMSE weight adaptation with the steepest decent algorithm produces LMS algorithm[7]. For
dealwithit
- W(n) represents the weight vector at n, W(n+1) represent weight vector at n+1. U represents the step size which control the convergence speed. The value for the gradient vector is calculated through covariance matrix R and cross-correlation r.
delayreduction
- The gradient value changes randomly as per the input vector. When the rate of convergence U is slow, then it will gives good estimation of large amount of data. By sending known pilot sequence to the transmitter the knowledge of the transmitter sig
delayspre
- required by the algorithm[8]. The step size parameter controls the convergence speed. Hence the algorithm depends on the step size. The step size is a positive constant value which control the size of increment applied in one iteration to the next. T
fastserve
- ADVANTAGE: The Main advantage of the LMD is the low computational complexity which is O(L), L is the number of tap weight. DISADVANTAGE: The main disadvantage is low convergence rate and fluctuation which creates problem in tracking and acquisition
pendingcurve
- The NLMS (normalized least mean square algorithm) is used in number of signal processing and control applications. It works by adapting the finite impulse response filters co-efficient. The weight vector can be calculated easily by using NLMS the val
recentcurve
- ADVANTAGE: The main advantage of the NLMS algorithm over the LMS algorithm is the faster convergence for correlated[11] and whitened input and the stableness of the output with the varying range of values independent input data[12]. And to implement
ui
- 这是设计的一系列的手机界面设计，可以用户进行交流和沟通的良好平台-It is designed for a range of mobile phone interface design, users can exchange and communicate a good platform
image-quantization-(reproduced)
- 数字图片量化：图像进行高斯滤波，图像直方图均衡及其处理，图像添加噪声并且滤除，矩阵做DCT反变换，对图像做dct变换和量化-Digital image quantization: image Gauss filtering, image histogram equalization and processing, image adding noise and filtering, matrix DCT inverse transform, DCT transform and quantizati
carGame
- AS3.0 小游戏源码，制作精美可以学习学习-as3.0 car game
crc
- matlab code ,crc code
PCA
- Principal Component Analysis