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RBFNN
一个小的matlab程序利用RBFNN进行函数拟合(A small matlab program using RBFNN for function fitting)
- 2013-12-04 06:28:58下载
- 积分：1
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filter_ex1
一个用在simlink 中用 dsp builder建立的FIR滤波器，每个波形都有波形显示，是学习DSP builder和FIR滤波器好资料。(One used in the FIR filter using dsp builder simlink established, each waveform has a waveform display, learning DSP builder and FIR filter good information.)
- 2014-01-31 09:54:28下载
- 积分：1
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ProbShrinkCOLOR
ProbShrink for color image denoising
- 2011-01-31 17:37:19下载
- 积分：1
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BLIND
说明： IBD算法源代码 能够让初学者很好的了解IBD算法(blind image restoration)
- 2011-04-07 16:45:45下载
- 积分：1
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hsmm
说明： 隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)
- 2019-05-27 12:01:38下载
- 积分：1
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viterbi
The Viterbi decoder for convolutional codes
- 2010-10-19 05:03:27下载
- 积分：1
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.rar
it gives some compresson tools in wireless communication engineering.
- 2013-03-13 15:13:29下载
- 积分：1
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Matlab-filting
使用matlab实现各种滤波功能，设计出高通滤波，低通滤波，带通带阻滤波等滤波器(Using matlab to achieve a variety of filtering, to design a high-pass filter, low-pass filtering, band-stop filter bandpass filter)
- 2013-03-25 10:31:55下载
- 积分：1
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motor-IM-senlessor
电力电子、电机控制的仿真模型，异步电机无速度传感器控制(The simulation model of power electronics, motor control, induction motor speed sensorless control)
- 2014-12-03 15:05:27下载
- 积分：1
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2013TSP
说明： 通过并行压缩进行二维信号压缩，提出了一种利用并行压缩传感技术对二维信号进行压缩的新方案。根据这个原理，译码器的重新构造可以并行进行。通过对二维信号进行某些排列，可以确保所有列具有大致相同的密度级别，并且可以使用相同的测量矩阵进行采样。这样可以避免二维信号的矢量化，从而大大减小测量矩阵的尺寸。我们证明，如果排列良好，重建均方误差的上限会更紧。为了说明这一方案，我们将其应用于视频压缩并使用不同帧的排列有两种：参考帧的基于Z字形扫描的排列和非参考帧的基于块测试的排列。仿真结果表明，在相同的压缩比下，峰值信噪比比比在无置换情况下可提高3-7db左右。(we propose a new scheme to compress 2D signals using parallel compressed sensing. According to this seheme, the reeonstruction at the decoder can be performed in parallel. By performing certain permutation on a 2D signal, all columns are insured to have approximately the same density level and can be sampled using the same measurement matrix. In this way, vectorization of a 2D signal can be avoided, and thus the size of the measurement matrix can be dramatically reduced. We prove that with a good permutation, we can have a tighter upper bound on reconstruction mean square error. To illustrate this scheme, we apply it to video compression and use
two kinds of permutations for different frames: the zigzag-scanbased permutation for reference frames and the block-test-based permutation for non-reference frames. Simulation results show that under the same compression ratio, the peak signal-to-noise ratio can be improved by approximately 3-7 dB compared to the case without permutation.)
- 2019-01-12 22:48:49下载
- 积分：1
