登录
首页 » matlab » huaffman

huaffman

于 2010-07-01 发布 文件大小:3KB
0 314
下载积分: 1 下载次数: 1

代码说明:

  MATLAB实现的平移huaffman编码,(MATLAB implementation of the translation huaffman code)

文件列表:

Uhaff2.m,3181,2010-06-23
Uhuff1.m,3397,2010-06-23
Unhuff3.m,741,2010-06-23

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

  • MATLAB
    Kalman滤波算法在Matlab中的仿真,主要是针对基本的算法(Kalman filter algorithm simulation in Matlab, basic algorithm)
    2013-03-08 21:43:32下载
    积分:1
  • Introduction.to.Simulink.with.Engineering
    Introduction to Simulink with Engineering Applications 2nd Edition Mar 2008
    2012-02-06 23:44:52下载
    积分:1
  • matlab
    常用的matlab程序 常用的matlab程序 常用的matlab程序 常用的matlab程序(Common procedures commonly used matlab matlab matlab program procedures commonly used matlab program)
    2014-02-08 13:05:24下载
    积分:1
  • hfssUnite
    在hfss中matlab编程,实现合并操作(In hfss in matlab programming, to achieve the combined operation)
    2008-06-16 22:55:39下载
    积分:1
  • OFDM_simulation_system
    OFDM通信系统仿真模型 包括编码,调制,IFFT,上下变频,高斯信道建模,FFT,PAPR抑制,各种同步,解调和解码模块 最后验证了系统设计的可靠性 是通信理论OFDM技术仿真实例(OFDM communication system simulation models, including coding, modulation, IFFT, and down conversion, Gaussian channel model, FFT, PAPR suppression, various synchronization, demodulation and decoding module final validation of the reliability of the system design is communication theory simulation OFDM technology)
    2010-12-11 15:38:02下载
    积分:1
  • fiberlaser_Multi6
    end-pumped fiber laser
    2012-12-25 21:40:01下载
    积分:1
  • Fixpt
    非线性求解的二分法程序,还有非线性方程简单迭代。含误差分析,最大迭代次数。(The dichotomy procedure for nonlinear solutions and the simple iteration of nonlinear equations. The error analysis, the maximum number of iterations.)
    2018-05-11 20:55:52下载
    积分:1
  • H4PGP20W
    一个国外出名的信息隐藏工具H4PGP,好用简单(A well-known abroad, information hiding tools H4PGP, easy to use simple)
    2010-10-25 13:11:07下载
    积分:1
  • ldpc-bp
    LDPC码经典BP译码程序,Matlab环境下,可运行成功(ldpc codes bp decoding in matlab enviorment)
    2010-01-04 10:21:55下载
    积分:1
  • linproj
    模型是结构体类型的线性投影Y = linproj(X, model) 其中W.model为线性投影矩阵, Y = model.W *X + model.b b为偏差值( Description: Y = linproj(X, model) linearly projects data in X such that Y = model.W *X+ model.b out_data = linproj(in_data, model) projects in_data.X out_data.X = model.W *in_data.X+ model.b out_data.y = in_data.y Input: model [struct] linear projection: .W [dim x ncomp] Projection matrix. .b [ncomp x 1] Bias.)
    2011-05-01 18:11:47下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载