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cpas1
texture analysis by using ANN
- 2011-10-23 02:35:52下载
- 积分：1
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tber2
Quadrature amplitude modulation (QAM) is a modulation scheme in which two sinusoidal carriers,
one exactly 90 degrees out of phase with respect to the other, are used to transmit data over
a given physical channel. One signal is called the I signal, and the other is called the Q signal.
Because the orthogonal carriers occupy the same frequency band and differ by a 90 degree phase
shift, each can be modulated independently, transmitted over the same frequency band, and
separated by demodulation at the receiver. For a given available bandwidth, QAM enables data
transmission at twice the rate of standard pulse amplitude modulation (PAM) without any degradation
in the bit error ratio (BER).
- 2010-06-12 00:02:46下载
- 积分：1
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MIRtoolbox1.0
matlab实现音乐通用特征提取并进行音乐检索，共实现40种特征提取。(MIRtoolbox proposes a large set of musical feature extractors.MIRtoolbox includes around 40 audio and music features extractors and statistical descriptors.)
- 2012-05-10 14:21:35下载
- 积分：1
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fractal-interpolation-surface
分形插值曲面的MATLAB程序,文中给出详细的源程序及注释！(Fractal interpolation MATLAB program, the paper gives details of the source code and comment!)
- 2014-04-19 11:00:49下载
- 积分：1
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ubuntu
关于ubuntu的各种学习资源，十分齐全(With regard to ubuntu a variety of learning resources, a very complete)
- 2009-12-23 15:15:54下载
- 积分：1
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3-4-Capacitor-MOM
This program calculate the capacitance of two parallel palate which is placed in the adjacent
- 2013-01-09 17:00:17下载
- 积分：1
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DOLDEN
一种在扩频领域应用十分广泛的编码序列,GOLDEN码序列的MATLAB仿真实现!(spreading in a very wide field of application of the coding sequence, GOLDEN sequences MATLAB Simulation!)
- 2007-05-19 17:06:44下载
- 积分：1
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aee582_hw5
Generalized plant example
- 2013-01-14 08:14:01下载
- 积分：1
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Pounce-and-shetty-conceptual-model
Pounce and Shetty Conceptual Model
- 2013-03-03 13:49:43下载
- 积分：1
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Fast-Tracking
“Fast Tracking via Dense Spatio-Temporal Context Learning,” In ECCV 2014的源代码，效果非常好。(In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationships between the object of interest and its local context based on a Bayesian framework, which models the statistical correlation between the low-level features (i.e., image intensity and position) from the target and its surrounding regions. The tracking problem is posed by computing a confidence map, and obtaining the best target location by maximizing an object location likelihood function. The Fast Fourier Transform is adopted for fast learning and detection in this work. Implemented in MATLAB without code optimization, the proposed tracker runs at 350 frames per second on an i7 machine. Extensive experimental results show that the proposed algorithm performs favorably against state-of-the-art methods in terms of efficiency, accuracy and robustness.)
- 2014-06-23 15:06:17下载
- 积分：1
