资源列表
ecg.rddata
- ECG特征点检测技术 心音信号的识别算法研究及其仿真 matlab心电数据处理 心电图机源代码-feature points ECG heart sound detection signal recognition algorithm and simulation Matlab ECG data Department Jimmy ECG source code
TOA
- 这是MUSIC算法对TOA的估计，相信对大家非常有用。-This is the MUSIC algorithm TOA estimates, we believe that the right is very useful.
ArrayMalloc
- 用VC实现了动态数组分配的 包括所有源代码-with VC dynamic array allocation, including all source code
DCTbianhuam
- 在matlab中实现DCT变换，对初学者有一定的用处-in Matlab achieve DCT, for beginners have a certain usefulness
leastqClass
- 基于vb.net的最小二乘法多项式系数计算类. 很好用,比Excel还精确.-based on the least-squares method vb.net polynomial coefficient category. Useful, than Excel also accurate.
boltzman_VC
- Boltzmannn机网络是Hinton等人在1985年将模拟退火算法引入到神经网络中，提出的，简称BM网络。-Boltzmannn computer network is Hinton and others in 1985 will be simulated annealing primer access to the neural network, the network referred to BM.
CPN_VC
- CPN网络，即对向传播网络，是将Kohonen特征映射网络与Grossberg基本竞争网络相结合，发挥各自特长的一种新型特征映射网络。-CPN network, the right to communication networks, Kohonen feature is the mapping of network and basic Grossberg competing networks combined play to their strong points of a new featu
series2parallel
- adsl 模块中的另一部分，Serial/Parallel, Parallel/Serial及Constellation Mapping部分。-adsl Module of the other part, Serial / Parallel, Parallel / Serial and Constellation Mapping part.
BAM_VC
- BAM网络即双向联想记忆网络，是一种可以记忆模式对的两层非线性反馈神经网络。-BAM network is a two-way associative memory networks, it is a memory of the two-mode nonlinear feedback neural network.
Kmeans_VC
- 鼎鼎大名的Kmeans的VC实现。广泛用于神经网络、模式识别领域。-the Kmeans the famous VC. Widely used in neural networks, pattern recognition.
adsl_a2d_d2a
- This module provides an introduction for our ELEC 301 DMT group project. 这是其中a2d模块部分-This module provides an introduction for o ur ELEC 301 DMT group project. This module is part of a2d
HopfieldNN0-9Recognise
- This code in this directory implements the binary hopfield network. Source code may be found in HOPNET.CPP. A sample training file is H7x8N4.trn. Sample test pattern files are: H7x8D4.TST, H5x8D7.TST, H5x8D7.TST and H5x8D9.TST, Output of the pr