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Simulating Nuclear Events in a TCAD Model of a High-Density SEU Hardened SRAM Technology.pdf
標簽： High-Density Simulating Technology Hardened
上傳時間： 2016-12-13
上傳用戶：lili123
Form1.cs是應用聚類算法DBSCAN (Density-Based Spatical Clustering of Application with Noise)的示例，可以通過兩個參數EPS和MinPts調節聚類。 DBSCAN.cs是實現文件，聚類算法的進一步信息請參考“數據挖掘”或者相關書籍 聚類示例數據來自于sxdb.mdb，一個Access數據庫
標簽： Density-Based Application Clustering Spatical
上傳時間： 2017-02-26
上傳用戶：chens000
The double-Density DWT is an improvement upon the critically sampled DWT with important additional properties: (1) It employs one scaling function and two distinct wavelets, which are designed to be offset from one another by one half, (2) The double-Density DWT is overcomplete by a factor of two, and (3) It is nearly shift-invariant. In two dimensions, this transform outperforms the standard DWT in terms of denoising however, there is room for improvement because not all of the wavelets are directional. That is, although the double-Density DWT utilizes more wavelets, some lack a dominant spatial orientation, which prevents them from being able to isolate those directions.
標簽： double-Density improvement additional critically
上傳時間： 2017-04-03
上傳用戶：dongbaobao
LDPC碼既低密度奇偶校驗碼（Low Density Parity Check Code，LDPC），它由Robert G.Gallager博士于1963年提出的一類具有稀疏校驗矩陣的線性分組碼，不僅有逼近Shannon限的良好性能，而且譯碼復雜度較低, 結構靈活，是近年信道編碼領域的研究熱點，目前已廣泛應用于深空通信、光纖通信、衛星數字視頻和音頻廣播等領域。LDPC碼已成為第四代通信系統(4G)
上傳時間： 2013-12-24
上傳用戶：lunshaomo
Performance Comparison of Two On-Demand Routing Protocols Depends on Traffic Density by Using UWB-IR as Pyhisical and MAC Layer at Outdoor Peer to Peer Sensor Network
標簽： Performance Comparison On-Demand Protocols
上傳時間： 2017-05-28
上傳用戶：三人用菜
Double Density Wavelet Soft
標簽： Density Wavelet Double Soft
上傳時間： 2014-01-27
上傳用戶：l254587896
it s low Density parity check coding file
標簽： Density coding parity check
上傳時間： 2014-01-02
上傳用戶：杜瑩12345
his procedure is the power spectral Density of the simulation, 3 signal source on the specific circumstances, see the "modern digital signal processing" Introduction to the first volume, P202, Exercise 5. Experimental Methods
標簽： the simulation procedure spectral
上傳時間： 2014-01-17
上傳用戶：金宜
kde全稱是kernel Density estimation.基于核函數的概率密度估計方法。是模式識別中常用的算法之一
標簽： estimation Density kernel kde
上傳時間： 2014-11-26
上傳用戶：a6697238
Features a unique program to estimate the power spectral Density. The spectrum containing all significant details is calculated from a time series model. Model type as well as model order are determined automatically from the data, using statistical criteria. Robust estimation algorithms and order selection criteria are used to obtain reliable results. Unlike in FFT analysis, where the experimenter has to set the amount of smoothing of the raw FFT, the right level of detail is assessed using the data only.
標簽： containing Features estimate spectral
上傳時間： 2014-02-09
上傳用戶：daguda
