This application creates an USB HID (Human-Interface Device) keyboard on a host computer. Pressing any of the buttons on the board OUTPUTs characters or special keys on the host side
標簽： Human-Interface application Pressing computer
上傳時間： 2014-01-04
上傳用戶：曹云鵬
The design of control systems involving piezoelectric actuators and sensors requires an accurate knowledge of the transfer functions between the inputs and the OUTPUTs of the system.
標簽： piezoelectric actuators involving accurate
上傳時間： 2016-05-25
上傳用戶：小寶愛考拉
This program is used to measure the temperature sensor on an F330 device. It uses 1-point calibration and stores the offset value in FLASH memory. The program OUTPUTs temperature values in 100ths of a degree Celsius with UART.
標簽： temperature calibrati program measure
上傳時間： 2014-01-19
上傳用戶：啊颯颯大師的
ofdm信道特性 Channel transmission simulator Channel transmission simulator ％ ％ inputs: ％ sig2 - noise variance ％ Mt - number of Tx antennas ％ Mr - number of Rx antennas ％ x - vector of complex input symbols (for MIMO, this is a matrix, where each column ％ is the value of the antenna OUTPUTs at a single time instance) ％ H - frequency selective channel - represented in block-Toeplitz form for MIMO transmission ％ N - number of symbols transmitted in OFDM frame ％ ％ OUTPUTs: ％ y - vector of channel OUTPUTs (matrix for MIMO again, just like x matrix) ％ create noise vector sequence (each row is a different antenna, each column is a ％ different time index) note: noise is spatially and temporally white
標簽： transmission simulator Channel inputs
上傳時間： 2016-07-22
上傳用戶：kelimu
DESCRIPTION : BIN to seven segments converter -- segment encoding -- a -- +---+ -- f | | b -- +---+ <- g -- e | | c -- +---+ -- d -- Enable (EN) active : high -- OUTPUTs (data_out) active : low
標簽： DESCRIPTION converter segments encoding
上傳時間： 2016-08-17
上傳用戶：ainimao
c8051f340 串口 程序This program demonstrates how to configure the C8051F340 to use routines in STDIO.h to write to and read from the UART interface. The program reads a character using the STDIO routine getkey(), OUTPUTs that character to the screen, and then OUTPUTs the ASCII hex value of that character.
標簽： demonstrates c8051f340 C8051F340 configure
上傳時間： 2013-12-25
上傳用戶：lepoke
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and OUTPUTs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order
標簽： identification considered features separati
上傳時間： 2016-09-20
上傳用戶：FreeSky
Device pins that are not connected to a specific peripheral function are controlled by the GPIO registers. Pins may be dynamically configured as inputs or OUTPUTs. Separate registers allow setting or clearing any number of OUTPUTs simu 中文
標簽： controlled peripheral are connected
上傳時間： 2014-01-16
上傳用戶：lijinchuan
simulating a convolutional encoder allows the user to input a source code to be encoded and also input the values of the generator polynomials. It OUTPUTs the encoded data bits, where 1/n is the code rate
標簽： convolutional simulating encoder encoded
上傳時間： 2013-12-21
上傳用戶：253189838
Semantic analysis of multimedia content is an on going research area that has gained a lot of attention over the last few years. Additionally, machine learning techniques are widely used for multimedia analysis with great success. This work presents a combined approach to semantic adaptation of neural network classifiers in multimedia framework. It is based on a fuzzy reasoning engine which is able to evaluate the OUTPUTs and the confidence levels of the neural network classifier, using a knowledge base. Improved image segmentation results are obtained, which are used for adaptation of the network classifier, further increasing its ability to provide accurate classification of the specific content.
標簽： multimedia Semantic analysis research
上傳時間： 2016-11-24
上傳用戶：蟲蟲蟲蟲蟲蟲
