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MATLAB_Function
MATLAB的所有函数集合，很详细，可以节约不少时间的(MATLAB function of all a collection of very detailed, you can save a lot of time)
- 2008-12-28 16:51:18下载
- 积分：1
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beamforming---Copy
day la code matlab de ve array factor va polar
- 2011-04-20 15:11:55下载
- 积分：1
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de_Precoding
mimo预编码C++代码欢迎各位参考，相互学习(mimo pre-coding C++ code to welcome you to reference, mutual learning)
- 2015-01-22 19:56:52下载
- 积分：1
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multi_dimensional_pso
多维粒子群优化算法，用于求解多维函数的优化问题。(Multidimensional PSO algorithm for solving optimization problems of multidimensional function.)
- 2015-03-16 10:54:14下载
- 积分：1
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FEM_matlab
说明： 这是我们上有限元程序这门课的时候，老师给我们的一个有限元程序，计算杆或梁的受力分析，包括完整的程序，感觉很详细，还有例子用word说明。(This is the course on the finite element program, the teacher gave us a finite element program to calculate pole or beam stress analysis, including the complete program, I feel in great detail, there are examples that use the word.)
- 2020-12-07 11:39:21下载
- 积分：1
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MIMO-radar
该程序为MIMO radar系统的目标检测以及目标估计程序(The program for the MIMO radar target detection and target estimation procedures)
- 2012-11-21 19:53:27下载
- 积分：1
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function_UnixTime2UTC
matlab檔案，用於時間格式轉換，可將UnixTime格式轉換成UTC格式(Time format convert)
- 2014-02-21 10:24:32下载
- 积分：1
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CHAOGAOSI
研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度
函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了
基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不
仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知
质量。 (Recent research indicates that the speech spectral amplitude distributions could
be fairly described with super-Gaussian probability density function. However, the complexity
of speech signal determines that the distribution statistics ofspeech signal could not be well
described by single simple function. Thus a super-Gaussian mixture model for speech spectral
amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech
signals spectral amplitude is derived. The simulation results show that this algorithm based on
Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech
distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )
- 2014-01-18 10:13:52下载
- 积分：1
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ieee754_32
Converts a floating point value to IEEE 754 32 bit binary representation.
Sign Bit: 1
Exp: 2 to 9
Frac: 10:32
Single-precision floating-point format is a computer number format that occupies 4 bytes (32 bits) in computer memory and represents a wide dynamic range of values by using a floating point. In IEEE 754-2008 the 32-bit base 2 format is officially referred to as binary32. It was called single in IEEE 754-1985. In older computers, other floating-point formats of 4 bytes were used.
For example, the 32-bit floating point bit pattern 1 01111101 00101100000000000000000 is interpreted as the following:
(− 1)1 × (1 + 0.34375) × 2(125–127) = -1.34375× 2− 2 = -0.3359375
- 2013-09-07 22:20:32下载
- 积分：1
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Joint
This paper investigates the design of joint frequency
offset and carrier phase estimation of a multi-frequency time division
multiple access (MF-TDMA) demodulator that is applied to
a digital video broadcasting—return channel system via satellite
(DVB-RCS). The proposed joint estimation algorithm is based on
the interpolation technique for two correlation values in the frequency
and phase domains. This simple interpolation technique
can significantly improve frequency and phase resolution capabilities
of the proposed technique without increasing the number of
the correlation values. In addition, the overall block diagram of a
digital communications receiver for DVB-RCS is presented, which
was designed using the proposed estimation algorithms.
Index Terms—Carrier phase estimation, DVB-RCS, frequency
offset estimation, interpolation, joint estimation, MF-TDMA.(This paper investigates the design of joint frequencyoffset and carrier phase estimation of a multi-frequency time divisionmultiple access (MF-TDMA) demodulator that is applied toa digital video broadcasting-return channel system via satellite (DVB-RCS). The proposed joint estimation algorithm is based onthe interpolation technique for two correlation values in the frequencyand phase domains. This simple interpolation techniquecan significantly improve frequency and phase resolution capabilitiesof the proposed technique without increasing the number ofthe correlation values. In addition, the overall block diagram of adigital communications receiver for DVB-RCS is presented, whichwas designed using the proposed estimation algorithms.Index Terms-Carrier phase estimation, DVB-RCS, frequencyoffset estimation, interpolation, joint estimation, MF-TDMA.)
- 2007-09-18 21:08:02下载
- 积分：1
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