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dijstra
实现迪杰斯特拉的选路功能，在matlab仿真中计算最短路径(Realize the routing function of Dijkstra, in the shortest path calculation matlab simulation)
- 2010-12-08 20:14:39下载
- 积分：1
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shuxuejianmo
对隧道交通建立数学模型，并用matlab求解，得到该模型下隧道的最大车流量。(A mathematical model for tunnel traffic and use matlab to solve, to get the maximum traffic tunnel model.)
- 2013-07-14 10:24:20下载
- 积分：1
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ecg
Cardiac arrhythmia diagnosis method using linear discriminant analysis on ECG signals
- 2012-07-04 16:21:23下载
- 积分：1
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DSP
实验一 离散时间信号的时域表示
实验二 离散时间系统的时域表示
实验三 离散时间序列的傅立叶变换
实验四 Z变换
实验五 离散傅立叶变换
实验六 数字滤波器的结构
实验七 IIR数字滤波器设计
实验八 FIR数字滤波器设计
实验九 DSP实现(Experiment a discrete-time signal in the time domain representation
Experiment two discrete-time time-domain representation of the system
Experiment three discrete Fourier transform of the time series
Experiments four Z-transform
Experimental five discrete Fourier transform
Six experimental digital filter structure
Experiment 7 IIR digital filter design
Experiments eight FIR digital filter design
Experiments nine DSP implementation)
- 2014-12-24 20:45:07下载
- 积分：1
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pgm_ode45
a simple source code to practice the ODE45 (Rung kutta) integration methode
- 2013-12-16 17:23:36下载
- 积分：1
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Ejer_2
Spectrum analysis of sound signal
- 2013-05-18 01:10:28下载
- 积分：1
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Sequence
a seq algorithm, comparing string, string and sequence alignment
- 2010-06-11 17:15:33下载
- 积分：1
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MIMOOFDM(VBLAST)
MIMO-OFDM系统的VBLAST使用MATLAB编程(MIMO-OFDM system using the MATLAB programming VBLAST)
- 2009-05-06 14:26:10下载
- 积分：1
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tiaozhixinhao
产生各种调制信号，例如MASK,MFSK,MPSK,QAM(Produce a variety of modulation signals such MASK, MFSK, MPSK, QAM)
- 2013-07-12 18:30:17下载
- 积分：1
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fecgm
独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE.
Jade performs `Source Separation in the following sense:
X is an n x T data matrix assumed modelled as X = A S + N where
o A is an unknown n x m matrix with full rank.
o S is a m x T data matrix (source signals) with the properties
a) for each t, the components of S(:,t) are statistically
independent
b) for each p, the S(p,:) is the realization of a zero-mean
`source signal .
c) At most one of these processes has a vanishing 4th-order
cumulant.
o N is a n x T matrix. It is a realization of a spatially white
Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance
sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE.
Jade performs `Source Separation in the following sense:
X is an n x T data matrix assumed modelled as X = A S+ N where
o A is an unknown n x m matrix with full rank.
o S is a m x T data matrix (source signals) with the properties
a) for each t, the components of S(:,t) are statistically
independent
b) for each p, the S(p,:) is the realization of a zero-mean
`source signal .
c) At most one of these processes has a vanishing 4th-order
cumulant.
o N is a n x T matrix. It is a realization of a spatially white
Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance
sigma. This is probably better than no modeling at all...)
- 2010-05-27 23:08:51下载
- 积分：1
