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m33347_1.3
speaker recognition system matlab file.
- 2010-09-29 13:56:48下载
- 积分：1
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Kalman-filter
说明： 非常好用的滤波程序 肯定能够运行结果 效果不错(Very nice filtering process must be able to run the results of good results)
- 2011-03-15 22:44:35下载
- 积分：1
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Queuing-theory
排隊理論排隊理論排隊理論排隊理論排隊理論排隊理論排隊理論(Queuing theory
)
- 2011-05-17 11:12:29下载
- 积分：1
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WaveletMcM
本代码高效简洁，利用率高。使用时需改动少量参数。主要功能就是利用frotran语言求得时间序列的小波分析结果。(this program is short and effect. only a few parameters need to be modified when used. this main fuction of this program calculate the waavelet of time serises)
- 2014-09-20 22:43:38下载
- 积分：1
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ZigBeeIEEE
The implementation was built on Matlab/Simulink using
fundamental components in Simulink to demonstrate how
reliably complex modulation schemes can be built, cost
effectively and efficiently [5]. The design of ZigBee
transmitter using MSK modulation is shown in the Figure 1.
Here we map input data bits to 8-chip PN sequences to be
transmitted and results in a chip rate of two mega chips per
second. After that, resultant chip sequence is send to the serial
to parallel converter. It is used here to separate the odd and
even bit indexed chips. Following this bipolar data formatting
is performed and signal modulated with a 2.4 GHz carrier on
the In Phase and QuadraturePhase data stream and adds it to
get the required transmitter output signal.
- 2014-09-23 20:56:58下载
- 积分：1
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gaborfilter
Matlab source code of gaborfilter
- 2011-12-21 09:54:53下载
- 积分：1
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wangxiaoyun
用于实现车道线识别探测的matlab程序，可达到良好的识别率(Lane Recognition for achieving detection matlab program, can achieve good recognition rate)
- 2010-07-19 10:20:45下载
- 积分：1
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phatofdm
it is very imoportant file
- 2010-05-13 01:25:53下载
- 积分：1
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SCSToolboxV2
将压缩感知用于谱估计中，根据论文谱压缩感知的一些程序(Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse
and compressible signals based on randomized dimensionality reduction. To recover a signal from its
compressive measurements, standard CS algorithms seek the sparsest signal in some discrete basis or
frame that agrees with the measurements. A great many applications feature smooth or modulated signals
that are frequency sparse and can be modeled as a superposition of a small number of sinusoids.
Unfortunately, such signals are only sparse in the discrete Fourier transform (DFT) domain when the
sinusoid frequencies live precisely at the center of the DFT bins. When this is not the case, CS recovery
performance degrades significantly. In this paper, we introduce a suite of spectral CS (SCS) recovery
algorithms for arbitrary frequency sparse signals. The key ingredients are an over-sampled DFT frame, a
signal model that inhibits closely spaced sinusoids, and classical sinusoid parameter e)
- 2012-06-29 10:10:42下载
- 积分：1
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shipinfenxi
说明： 时频分析工具箱《基于MATLAB的系统分析与设计——时频分析》源码(Time-Frequency Analysis Toolbox)
- 2010-03-23 18:23:37下载
- 积分：1
