As the Hardware Description Language (HDL) enhancement activities have increased over the past year, so too has the complexity in determining which language(s) are the best tools for designers and organizations to continue using or to adopt. Many designers and organizations are contemplating whether they should switch from one HDL to another.
標簽： Description enhancement activities the
上傳時間： 2015-12-15
上傳用戶：sunjet
As the Hardware Description Language (HDL) enhancement activities have increased over the past year, so too has the complexity in determining which language(s) are the best tools for designers and organizations to continue using or to adopt. Many designers and organizations are contemplating whether they should switch from one HDL to another.
標簽： Description enhancement activities the
上傳時間： 2015-12-15
上傳用戶：SimonQQ
DAGON Approach Object of this exercise: Given a subject graph and a set of pattern graph in canonical representation (2-input NAND and INV), implement the second step of DAGON approach. (Both the subject graph and the pattern graphs are trees.)
標簽： graph Approach exercise subject
上傳時間： 2014-01-19
上傳用戶：stampede
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifier. icsiboost implements Adaboost over stumps (one-level decision trees) on discrete and continuous attributes (words and real values). See http://en.wikipedia.org/wiki/AdaBoost and the papers by Y. Freund and R. Schapire for more details [1]. This approach is one of most efficient and simple to combine continuous and nominal values. Our implementation is aimed at allowing training from millions of examples by hundreds of features in a reasonable time/memory.
標簽： meta-learning classifiers combining Boosting
上傳時間： 2016-01-30
上傳用戶：songnanhua
How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.
標簽： the decision clusters Cluster
上傳時間： 2013-12-21
上傳用戶：gxmm
VHDL實現(xiàn)循環(huán)碼編碼，設計了三個單元。switch是一個開關，shifter是移位寄存器，encoder是主體。
上傳時間： 2016-02-14
上傳用戶：cainaifa
The line echo canceller (LEC) is designed to provide the maximum attainable transparent voice quality for de-echoing of a PSTN or POTS connection in voice-over-LAN systems with internal delays, or on a codec end of a telecom switch,基于TI 54X/55X平臺
標簽： transparent attainable canceller designed
上傳時間： 2014-01-17
上傳用戶：qoovoop
The preferred technique places the new YAMON in the opposite Flash bank (the Db1200 boards have two Flash banks), and then changes switch S11 to swap the Flash banks in the memory map to allow the other Flash bank to become the boot bank. This technique is the safest and preferred method since it preserves the existing YAMON
標簽： the preferred technique opposite
上傳時間： 2016-02-27
上傳用戶：thuyenvinh
學生成績管理系統(tǒng)，有簡單輸出輸入界面，c語言程序，switch語句，簡單的畫圖函數(shù)應用！
標簽： 管理系統(tǒng)
上傳時間： 2014-01-05
上傳用戶：ryb
Making a cheap 1M SPI Rom Emulator 8 second to copy from parallel to SPI re-Program STM Serial Flash M25P10 by reading 29010 parallel ROM Running on standard 8051 32 I/O, a TTL 7407 as bus switch. Total programming time is about 8 seconds including Erase, Program
標簽： re-Program SPI Emulator parallel
上傳時間： 2016-03-22
上傳用戶：wanqunsheng
