登录
首页 » matlab » aa

aa

于 2010-06-03 发布 文件大小:5KB
0 190
下载积分: 1 下载次数: 0

代码说明:

说明:  在同一张图上仿真多幅度电平M电平PAM在M=2,4,8,16时的符号差错概率。(In the same graph simulation multi-level rate of M-level PAM at M = 2,4,8,16 when the symbol error probability.)

文件列表:

aa.doc,56832,2010-06-03

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • m_gold_compare
    M序列和Gold序列的性能比较matlab程序。(M sequences and Gold sequences matlab performance comparison procedures.)
    2008-05-27 13:00:39下载
    积分:1
  • fingerprint_direction_map
    说明:  基于matlab的指纹识别程序,识别效果不错,欢迎大家借鉴。(Based on Matlab fingerprint recognition program, the recognition effect is good, welcome to learn.)
    2021-03-18 16:19:20下载
    积分:1
  • bicubic
    very good in fact. looking forward to see more codes
    2011-09-09 13:17:35下载
    积分:1
  • NLmeansfilter
    Implementation of the Non local filter for image denoising
    2013-04-05 00:29:07下载
    积分:1
  • Gabor-Filter
    This code is used for extracting texture features in an image
    2014-01-24 18:20:08下载
    积分:1
  • CP0101
    矩形波的产生,第一步定义特征参数,第二部产生矩形波,第三步画出波形(Square wave generation)
    2010-10-12 16:17:06下载
    积分:1
  • MUSIC
    阵列信号处理常用的MUSIC算法,包括经典MUSIC,求根MUSIC,基于四阶累积量的MUSIC等(MUSIC usual array signal processing algorithms, including the classic MUSIC, Root MUSIC, based on fourth-order cumulant MUSIC etc.)
    2013-10-15 18:24:41下载
    积分:1
  • 局部二值模式LBP
    lbp实现图像的特征提取,可得到图像的直方图特征。(LBP realizes the image feature extraction, and can get the histogram features of the image)
    2017-11-20 15:24:05下载
    积分:1
  • LTE_precoding
    This function returns the precoding matrix for a specific transmission mode
    2011-02-04 23:11:14下载
    积分:1
  • adaboost_version1e
    这是一个经典的形变模型实施,在一个单一的文件用简单的可以理解的代码。 功能包括两部分一个简单的弱分类器和一个促进部分: 弱分类器试图找到最佳阈值的数据维数对数据进行分离成两个阶级1和1 要求的进一步提高分类器部分迭代,每一步是变化分类权重miss-classified例子。这造成了一连串的“弱分类器”,表现得像一个“强大分类器” (This a classic AdaBoost implementation, in one single file with easy understandable code. The function consist of two parts a simple weak classifier and a boosting part: The weak classifier tries to find the best threshold in one of the data dimensions to separate the data into two classes-1 and 1 The boosting part calls the classifier iteratively, after every classification step it changes the weights of miss-classified examples. This creates a cascade of "weak classifiers" which behaves like a "strong classifier" . )
    2012-04-23 13:17:57下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载