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AA
- Compression et D′ebruitage avec les ondelettes. Anestis Antoniadis antonia@imag.fr http://www-lmc.imag.fr/SMS G′en′eralit′es sur les d′ecompositions en ondelettes • Les ondelettes . Analyses multir′esolution . Algorithmes de calcul
Adaptive-Fuzzy-Function-Approximation-for-Multi-A
- Adaptive Fuzzy Function Approximation for Multi-Agent Reinforcement Learning
xinhaojiance
- 几种 MIMO 最大似然检测算法性能与复杂度比较及改进，介绍了半定松弛、分枝定界和堆栈三种低复杂度最大似然检测算法，并对其性能和复杂度进行了仿真分析，提出了改进的分枝定界和堆栈算法，仿真结果证明分枝定界和堆栈算法性能要优于半定松弛算法，分枝定界算法的复杂度低于堆栈算法且半定松弛算法以多项式复杂度取得了逼近最大似然的性能，同时改进算法加快了算法收敛速度，降低了计算复杂度和对存储空间的要求。 -Several maximum likelihood MIMO detection algorithm
Combined-Approximations
- 一种十分经典的结构重分析方法：组合近似法-the details of a classical structural reanalysis method-- combined approximation method.
Reinforcement-learning-with-function-approximatio
- Paper Reinforcement learning with function approximation
k-type-ann
- k型局部连接神经网络的结构和算法，及其与其他网络的函数逼近性能对比-k partially connected neural network structure and algorithm, and other network function approximation performance comparison
SFS
- 关于SFS算法的综述性文章，介绍了求解传统SFS 问题的4 类方法中几个典型算法的基本原理及求解方法, 并给出了实验结果, 然后从算法解的唯一性、对真解的逼近程度、求解效率及适用范围等方面对这4 类算法进行了比较和评价.-Review articles on SFS algorithm, this paper introduces four kinds of methods in solving traditional SFS in basic principle and solving met
266
- —This paper shows a proposal for Type-reduction of an Interval Type-2 fuzzy set composed from α -cuts done over its primary membership functions. The defi nition of available Type-reduction methods for Interval Type-2 fuzzy sets are based
SAR_ADC
- Successive Approximation ADC
compression
- Introduction to Data Compression In this chapter we will use the generic term message for the objects we want to compress, which could be either files or messages. The task of compression consists of two components, an encoding algorithm that
Dynamic-Power-Control-in
- 无线体域网中的功率控制，使用一种的方法RL，很新颖-Dynamic Power Control in Wireless Body Area Networks Using Reinforcement Learning With Approximation
A-Computationally-Efficient-
- A computationally efficient particle filter for multitarget tracking using an independence approximation
distributedtar-eusipco-2008
- We propose an approximation framework for distributed target localization in sensor networks. We represent the unknown target positions on a location grid as a sparse vector, whose support encodes the multiple target locations. The location v
Sparse-Lowrank-Approximation
- 基于稀疏表示和低秩逼近的人脸识别新方法，对于研究生物特征识别的朋友可以作为参考-The sparse and low rank approximation of the face recognition method based on the research on biological feature recognition, friends can be used as reference
Symbol-description-to-integral-solution
- Ext rapolation operator of one2way wave field has great application in seismic migration imaging. According to their implement , these operators can be classified into three kinds : Kirchhoff integral method , implicit definite difference in spa
Efficient-BER-computation-of-LDPC-coded-SC_MRC-sy
- Abstract—Selection combining cascaded with maximum-ratio combining (SC/MRC), which is particularly useful when site diversity is available, combined with low-density parity-check (LDPC) codes is able to combat the effects of fading. The biterro
11
- In this paper we discuss our attempts to find an approximation for the optimal wiring on rectangular structure. Here we are given a rectangle partitioned into smaller rectangles by axis-parallel line segments. Find a subset of the segments such that
mlfma
- MLFMA结合最佳一致逼近快速求解目标宽带，RCS计算经典文章-MLFMA best uniform approximation fast solution combining broadband targets, RCS computing classic article
A-Novel-Method-for-Estimating-Wind-Turbines-power
- A Novel Method for Estimating Wind Turbines power output based on least square Approximation
Approximation
- Approximation for Problems of computer science