Description: 改程序基于改进节点法（Modified Nodal Approach）与全矩阵技术在Matlab中实现线性电阻电路的符号分析。可以在GUI中描述待分析的电路结构、启动分析并直观的观察分析结果。在实现分析功能的同时，提供完整的编辑、输入保护以及数据保存功能。详细说明请见压缩包内文档。-Changed procedures to improve the node-based method (Modified Nodal Approach) with the full-matrix technology in Matlab to achieve linear resistance analysis of circuit symbols. GUI can be described in the circuit structure to be analyzed, start analysis and visual observation of the results of the analysis. Analysis function in the realization at the same time, provide a complete editing, input protection and data retention functionality. Platform: |
Size: 198656 |
Author:MacDong |
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Description: 一个简单的PCFG分析器
分析结果逐个以树形图方式显示，如果一个句子有多个结果，在显示框中同时显示-A simple PCFG parser with the results of the analysis-by-tree approach shows that if there is more than the result of a sentence, in the box at the same time show show Platform: |
Size: 232448 |
Author:李明 |
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Description: 端点检测是指用数字处理技术来找出语音信号中的各种段落（如音素、音节、词素、词等）的始点和终点的位置。语音段起止端点检测是语音分析、语音合成和语音识别中的一个必要环节。传统的端点检测方法是从wav文件中获取语音采样，将其分帧并计算短时能量和过零率参数，然后进行端点检测。这种工作方式被称为离线处理方法 ，无法实现语音信号的实时处理，对于语音信号分析具有一定的局限性。本文通过开发ActiveX控件，在MATLAB环境下将其嵌入到figure窗口中，以GUI程序的方式使用，实现语音信号端点检测的实时处理。-Endpoint detection is the use of digital processing techniques to identify the speech signals in a variety of paragraphs (such as phoneme, syllable, morpheme, word, etc.) the starting point and the end position. Speech endpoint detection is a paragraph beginning and end speech analysis, speech synthesis and speech recognition of a necessary link. Traditional endpoint detection method is to obtain from the wav file voice sampling, its sub-frame and calculate the short-term energy and zero-crossing rate parameters, and then proceed to endpoint detection. This work is called off-line approach can not achieve real-time speech signal processing, analysis of the speech signal has a certain limitations. In this paper, through the development of ActiveX controls, in the MATLAB environment to embedded figure window to use GUI program, the realization of speech signal processing real-time endpoint detection. Platform: |
Size: 30720 |
Author:cike |
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Description: 本文首先系统分析了 snort 规则的组成，详细的介绍了各个部分的含义，这对于开发出新的入侵检测系统，建立自己的攻击规则库有很大的帮助。针对系统所需的适应性和自治性，在详细剖析 snort 规则同时，着重研究基于 CVE 入侵检测系统的规则库的实现，底层嗅探器的实现和嗅探过程等问题。在规则特征选项的模式匹配问题上进行重点说明，给出了一种改进的检测方法，即结合使用协议分析进行模式匹配，从试验数据上大大提高了效率，减少了误报率。同时，本系统所基于的 CVE 知识库，跟踪国际上 CVE 的最新发展动态，制订了国内统一的 CVE 标准，具有极大丰富的知识库，有效的解决了国内漏洞库不统一的问题.-The author also describes the architecture and functions and the design and the implement of the software. Intrusion detection system (IDS) is very important for network security. At present, the author systematically analyzes the composition and semantics of Snort rules, which may be of great help for creating signature database, then the paper studies the flexibility and self-controllability in the CVE-based Intrusion Detection System, emphasizes not only on analysis of the snort rules, but on the
realization of intrusion detecting based on CVE rules and the implement of the sniffer. Especially, this paper covers the intrusion signature matching methods, and analyzes the weakness when only uses pattern matching in intrusion analysis and presents an improved approach that combines protocol analysis and pattern matching, to dectect attacks. At the same time it gives an example to show how to use this approach. The experimental results show that the rules surely reduce the rate of misd Platform: |
Size: 478208 |
Author:陈中 |
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Description: 文章展示了一种新的方法用于功率系统中短期负载预测。提出的方案使用混沌时间序列分析基于确定性混沌去捕捉复杂的负载行为特征。确定性的混沌允许我们重构一个时间序列并决定输入的变量个数。这篇文章描述了混沌时间序列对日间功率系统峰值的分析。确定性混沌的非线性图形通过多层感知器的神经网络得到。提出的方案在一个例子中具体阐述。-This paper presents a new approach to short-term load forecasting in power systems. The proposed method makes use of chaos time series analysis that is based on deterministic chaos to capture characteristics of complicated load behavior. Deterministic chaos allows us to reconstruct a time series and determine the number of input variables. This paper describes chaos time series analysis of daily power system peak loads. The nonlinear
mapping of deterministic chaos is identified by the multilayer perceptron of an artificial neural network. The proposed approach is demonstrated in an example. Platform: |
Size: 382976 |
Author:will |
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Search - Time-Frequency Analysis Watermarking Approach