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64-5
模式识别中的部分程序在matlab中的应用(Part of the procedure in pattern recognition application in matlab)
- 2010-06-15 18:07:54下载
- 积分:1
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c8_pi4demo
通信系统的方针,用matlab编写,qpsk(communication system simulation by matlab,qpsk)
- 2005-08-19 11:33:10下载
- 积分:1
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QPSK
轻武器权限申请程序等外侧段v二大王我我的2的1我(In cognitive radio networks, power control is considered as an important issue to improve the performance of dynamic spectrum sharing. In this paper, in order to maximize the efficiency of the system, the secondary users and primary user behaviors will be considered. )
- 2011-11-28 23:07:01下载
- 积分:1
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Direct_sequence_spread_spectrum_communication_syst
直接序列扩频通信系统误码率的仿真分析PN码同步方法的比较与仿真(Direct sequence spread spectrum communication system of the simulation analysis of PN Code Synchronization Comparison and Simulation)
- 2010-08-25 22:35:21下载
- 积分:1
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two_modu
双载波的matlab解调程序,两个载波频率时的,频率是2M的解调,解调输出中幅度和相位均从第四个开始重复输入序列;
- 2010-12-31 01:09:41下载
- 积分:1
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matlab-from-entry-to-the-master
matlab从入门到精通,让你更加快速掌握matlab(matlab from entry to the master)
- 2013-08-05 11:42:30下载
- 积分:1
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LTEprecoding
该仿真算法是lte的MIMO中的预编码算法的仿真(The simulation algorithm is lte of the MIMO pre-coding algorithm in the simulation)
- 2010-12-17 10:45:15下载
- 积分:1
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8puzzle
人工鱼群算法是一种智能算法,越来越多的应用于工程实践中(AFSA is an intelligent algorithm, more and more used in engineering practice)
- 2010-12-22 10:00:18下载
- 积分:1
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erfenfa
说明: 二分法的matlab实现,希望能对大家有帮助。(erfenfa matlab)
- 2010-03-20 11:15:31下载
- 积分:1
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sons
Compressive sensing (CS) has been proposed for signals with sparsity
in a linear transform domain. We explore a signal dependent
unknown linear transform, namely the impulse response matrix operating
on a sparse excitation, as in the linear model of speech production,
for recovering compressive sensed speech. Since the linear
transform is signal dependent and unknown, unlike the standard
CS formulation, a codebook of transfer functions is proposed in a
matching pursuit (MP) framework for CS recovery. It is found that
MP is efficient and effective to recover CS encoded speech as well
as jointly estimate the linear model. Moderate number of CS measurements
and low order sparsity estimate will result in MP converge
to the same linear transform as direct VQ of the LP vector derived
the original signal. There is also high positive correlation between
signal domain approximation and CS measurement domain
approximation for a large variety of speech spectra.
- 2020-12-03 13:19:24下载
- 积分:1