用Fourier變換求取信號的功率譜---周期圖法 用Fourier變換求取信號的功率譜---分段周期圖法 用Fourier變換求取信號的功率譜---welch方法 功率譜估計----多窗口法（multitaper method ,MTM法） 功率譜估計----最大熵法（maxmum entmpy method,MEM法） 功率譜估計----多信號分類法（multiple signal classification,music法）Fourier transform to strike a signal to the power spectrum - the cycle of plans Fourier transform to strike a signal to the power spectrum - Sub-cycle Method Fourier transform to strike a signal to the power spectrum --- welch method Power spectrum estimated more than window ---- Law (multitaper method, MTM) ---- Power spectrum estimate of maximum entropy (maxmum entmpy method, MEM) ---- More than the estimated power spectrum signal classification (multiple signal classification, music)
上傳時間： 2016-07-16
上傳用戶：wqxstar
國際化、多國語言的處理，Internationalization and Multiple Language Support
上傳時間： 2016-08-29
上傳用戶：bjgaofei
內存管理程序，功能與FASTMM相似，PLEASE NOTE: There are two ways to install BigBrain. You may use the memory manager code natively compiled into your EXE or you can use an included external DLL which will allow you to share memory across multiple DLLs with one central place for memory management. Using the DLL allows your application to share strings, and serves the same purpose as the ShareMem unit included with Delphi. BigBrainShareMem.dll should be 100％ compatible with the DelphiMM.dll and could even simply be renamed to DelphiMM.dll to simplify deployment.
上傳時間： 2014-12-02
上傳用戶：蟲蟲蟲蟲蟲蟲
CyberCart Pro Internet Commerce System 3.042 很好的商業購物程序.Good Shopping Cart, Can be used for Multiple Clients or Storefronts or Web Mall
標簽： CyberCart Commerce Internet Shopping
上傳時間： 2016-10-29
上傳用戶：duoshen1989
A Module-based Wireless Node (MW-Node) is a Node with wireless and mobile capabilities added by means of modules. It is not a new node object derived from Node. Rather it is a new layout of mostly existing components. Rationale for this new design has been presented in [1]. The MW-Node provides a flexible support for wireless and mobile networking and in particular: support for multiple interfaces/multiple channels, and a common basis for the implementation of wireless routing protocols.
標簽： Node Module-based capabilities Wireless
上傳時間： 2013-12-26
上傳用戶：大三三
BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code of the algorithm BP-MLL, which is designed to deal with multi-label learning. It is in particular useful when a real-world object is associated with multiple labels simultaneously
標簽： package multi-label includes networks
上傳時間： 2013-12-05
上傳用戶：xsnjzljj
This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks.
標簽： performance likelihood decision feedback
上傳時間： 2013-11-25
上傳用戶：1079836864
This a simple genetic algorithm implementation where the evaluation function takes positive values only and the fitness of an individual is the same as the value of the objective function
標簽： implementation evaluation algorithm function
上傳時間： 2016-11-24
上傳用戶：kelimu
We describe and demonstrate an algorithm that takes as input an unorganized set of points fx1 xng IR3 on or near an unknown manifold M, and produces as output a simplicial surface that approximates M. Neither the topology, the presence of boundaries, nor the geometry of M are assumed to be known in advance — all are inferred automatically from the data. This problem naturally arises in a variety of practical situations such as range scanning an object from multiple view points, recovery of biological shapes from two-dimensional slices, and interactive surface sketching.
標簽： demonstrate unorganized algorithm describe
上傳時間： 2013-12-18
上傳用戶：xc216
有版權爭議的內容和木馬病毒代碼 開發環境： 請選擇 Visual C++ Visual Basic DOS Unix_Linux C++ Builder Java Windows_Unix Delphi C-C++ PHP-PERL PHP Perl Python HTML Asm Pascal Borland C++ 其他 多平臺 C++ VFP SQL PDF TEXT WORD VBScript JavaScript ASP CSharp CHM FlashMX matlab PowerBuilder PPT LabView Flex MathCAD VBA PalmOS IDL LISP VHDL Objective-C(重要) 詳細功能: 4545 請認真閱讀您的文件包然后寫出其具體功能(至少要20個字)。盡量不要讓站長把時間都花費在為您修正說明上。壓縮包解壓時不能有密碼。系統會自動刪除debug
標簽： Visual Windows_Unix Unix_Linux Builder
上傳時間： 2013-12-08
上傳用戶：PresidentHuang
