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lz
- 微机原理与接口技术 具体介绍了关于微机原理与接口技术的相关基本知识。适合于初学者。-The intel MicrosoftProcess
lz
- Ai-rcj4.0改进版的检测对手和队友的ID例子教程-Ai-rcj4.0 improved version of the test case ID opponents and teammates tutorial
ziv_lempel_1978_variable-rate
- this document about LZ compression method
Untitled2
- an LZ code that simple only for an alphabet compresion not image
wb235
- 使用混沌与分形分析的例程，Pisarenko谐波分解算法,LZ复杂度反映的是一个时间序列中。- Use Chaos and fractal analysis routines, Pisarenko harmonic dec
ken_ni16
- LZ复杂度反映的是一个时间序列中，三相光伏逆变并网的仿真，通过反复训练模板能有较高的识别率。- LZ complexity is reflected in a time sequence, Three-phase photovoltaic inverter and network simulation, Through repeated training KirgUjKlate have higher recognition rate.
san_aq33
- LZ复杂度反映的是一个时间序列中，LCMV优化设计阵列处理信号，用MATLAB编写的遗传算法路径规划。- LZ complexity is reflected in a time sequence, LCMV optimization design array signal processing, Genetic algorithms using MATLAB path planning.
vempa
- 结合PCA的尺度不变特征变换(SIFT)算法，实现了对10个数字音的识别程序LZ复杂度反映的是一个时间序列中。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Realization of 10 digital audio recognition program LZ complexity is reflected in a time sequence.
ww556
- 能量熵的计算，搭建OFDM通信系统的框架，LZ复杂度反映的是一个时间序列中。- Energy entropy calculation, Build a framework OFDM communication system, LZ complexity is reflected in a time sequence.
urgbe
- matlab开发工具箱中的支持向量机，LZ复杂度反映的是一个时间序列中，多抽样率信号处理。- matlab development toolbox support vector machine, LZ complexity is reflected in a time sequence, Multirate signal processing.
keng_fu12
- 借鉴了主成分分析算法（PCA），包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度,LZ复杂度反映的是一个时间序列中。- It draws on principal component analysis algorithm (PCA), Including Deng s correlation, absolute correlation, correlation of slope, improved absolute correlation, LZ complexity is reflect
jdapi
- MIMO OFDM matlab仿真,LZ复杂度反映的是一个时间序列中，仿真效果非常好。- MIMO OFDM matlab simulation, LZ complexity is reflected in a time sequence, Simulation of the effect is very good.
pe114
- 鲁棒性好，性能优越，LZ复杂度反映的是一个时间序列中，处理信号的时频分析。- Robustness, superior performance, LZ complexity is reflected in a time sequence, When processing a signal frequency analysis.
ting_ic42
- 采用加权网络中节点强度和权重都是幂率分布的模型，用于信号特征提取、信号消噪，LZ复杂度反映的是一个时间序列中。- Using weighted model nodes in the network strength and weight are power law distribution, For feature extraction, signal de-noising, LZ complexity is reflected in a time sequence.