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Score: 140
Uploads: 5
Downloads: 65
Create time: 2019-07-11 23:06:04

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Laborator 8 - Scripturi shell.rar - linuxshel scripts tutorial ro
L16_Comunicatie paralela.rar - VHDL comunicatie pararela
8_BUS.rar - BUS documentation and map reffereces
L15_Comunicatie seriala.rar - Comunicatieseriala vhdl
e_BIU.rar - isa MEMORY PLAN eu biu asm

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laserandme.rar - 激光具有穿透透明物质的能力,用它治疗眼睛效果特佳。我们知道,眼睛有个透明的外罩,即角膜,还有个血管交织的视网膜,当视网膜出了问题需要修补时,视网膜在眼球的后边,所以手术很难进行。这时如果请激光来帮忙,一切问题就会迎刃而解。
SerpentAlgorythm.c.zip - Serpent Algorithm using vb
serpent.rar - Serpent算法及vb实现 毕业设计是做的 希望对大家有帮助
Serpent算法.rar - Serpent算法,想必搞相关行业的朋友看到压缩文件名字就知道是什么了!
serpent.zip - Serpent加密算法源代码
libgringotts-1[1].2.1.rar - libGringotts是一个小型、易于使用的、完全线程的C语言库,最初为Gringotts开发。它的目的是将数据封闭在一个加密和压缩的文件中。它使用加密算法((RIJNDAEL 128/256, SERPENT, TWOFISH, CAST256, SAFER+, LOKI97, 用于加密的3DES, 以及哈希函数的SHA1和 RIPEMD-160)来确保数据尽可能安全,并允许用户对所有使用的加密、哈希函数和压缩算法有完全的控制。
51zhinengxiaochekongzhi.rar - 一个基于51系列单片机控制的智能巡线小车设计方案及程序框图。
matlab_algorithms1.rar - 智能天线波束形成各种算法,程序比较多,有问题请联系:zgl-311@163.com
DSBF.rar - delay and sum beamforming algorithm
null_beamform_cf.rar - MATLAB function that performers delay and sum beamforming on two input signals in the frequency domain.
Run.rar - Simulation of simple Delay and sum beamforming with shading and everything controllable
nw_delaysum.rar - delay-and-sum beamforming for speech enhancement
delay.rar - time delay add in to the beamforming to build a delay and sum beamformer
delay-and-sum(1).zip - beamforming tutorial in matlab
beamforming-master.zip - 波束形成程序,计算1维和二维各类型波束形成
matrix_LMS_noise.zip - this program tells about the least mean square filter and its performance in minimizing the noise.
LMS.rar - 最小均方濾波器是一類可通過最小化誤差訊號之均方值而修正濾波器係數,以類比所需理想濾波器的自適應濾波器,其中作為修正依據的誤差訊號為理想參考訊號與實際輸出訊號之差。該種濾波器所用之最小均方法只以當前之訊號誤差值為準進行修正,是一種隨機梯度下降法。最小均方法係由斯坦福大學的Bernard Widrow教授及他的首位博士班學生Marcian Hoff於1960年提出。最小均方濾波器屬於常見的自適應濾波器種類之一。
LRS.rar - RLS 递归最小二乘滤波器算法!!!!!!!!!!!!!!!!!!!!!
adaptive_filtering_matlab.rar - This book is written for the applied scientists and engineers who want or need to learn the fundamentals about this subject, but are not experts in this specific field. It is also written to accompany a first graduate course in digital signal processing. In this book, we have selected the most important part, the least mean-square (LMS) adaptive filter, which is part of the statistical signal processing area. The adaptive filters have found their use in many and diverse fields such as communications, control, radar, sonar, and seismology.
RLS_ALGORITHM.zip - The Recursive least squares (RLS) is an adaptive filter which recursively finds the coefficients that minimize a weighted linear least squares cost function relating to the input signals. This is in contrast to other algorithms such as the least mean squares (LMS) that aim to reduce the mean square error. In the derivation of the RLS, the input signals are considered deterministic, while for the LMS and similar algorithm they are considered stochastic. Compared to most of its competitors, the RLS exhibits extremely fast convergence. However, this benefit comes at the cost of high computational complexity.

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