* This a software code module for a time-of-day clock object. * The clock may be fixed 12-hour, fixed 24-hour, or dynamically * configurable between these two types. Clock data can be accessed * as a binary number representing the number of minutes since midnight * or a BCD number formatted according to the time-of-day DESCRIPTION * in the TIME module 0404x. The functions work with time-of-day values * which conform to normally accepted clock values of 1:00 to * 12:59 BCD / 0 to 719 binary for a 12-hour clock or clock values * 00:00 to 23:59 BCD / 0 to 1439 binary for a 24-hour clock. On power-up * the clock is 12:00 BCD / 0 binary for a 12-hour or dynamically * configurable clock, or 00:00 BCD / 0 binary for a 24-hour clock.
標簽： clock time-of-day software module
上傳時間： 2013-12-07
上傳用戶：llandlu
Hard-decision decoding scheme Codeword length (n) : 31 symbols. Message length (k) : 19 symbols. Error correction capability (t) : 6 symbols One symbol represents 5 bit. Uses GF(2^5) with primitive polynomial p(x) = X^5 X^2 + 1 Generator polynomial, g(x) = a^15 a^21*X + a^6*X^2 + a^15*X^3 + a^25*X^4 + a^17*X^5 + a^18*X^6 + a^30*X^7 + a^20*X^8 + a^23*X^9 + a^27*X^10 + a^24*X^11 + X^12. Note: a = alpha, primitive element in GF(2^5) and a^i is root of g(x) for i = 19, 20, ..., 30. Uses Verilog DESCRIPTION with synthesizable RTL modelling. Consists of 5 main blocks: SC (Syndrome Computation), KES (Key Equation Solver), CSEE (Chien Search and Error Evaluator), Controller and FIFO Register.
標簽： symbols length Hard-decision Codeword
上傳時間： 2014-07-08
上傳用戶：曹云鵬
RFID實現(xiàn)代碼，可以通過iic接口操作，通過這個程序可以快速完成自己項目的開發(fā)。 DESCRIPTION: AT89S52 Firmware for HY502 Serial Reader This project is designed for HY502XX OSC use 11.0592MHz crystal.
上傳時間： 2014-08-16
上傳用戶：xymbian
/* Name: soj 1169: Networking From: Computer Science Department of Sichuan University Author: LoyaltyJi Date: 03-05-06 00:35 DESCRIPTION: 求最小生成樹經(jīng)典題! */
標簽： Department Networking University Computer
上傳時間： 2015-10-05
上傳用戶：dreamboy36
The purpose of this paper is to provide a practical introduction to the discrete Kalman filter. This introduction includes a DESCRIPTION and some discussion of the basic discrete Kalman filter, a derivation, DESCRIPTION and some discussion of the extended Kalman filter, and a relatively simple (tangible) example with real numbers & results.
標簽： introduction practical discrete purpose
上傳時間： 2014-11-14
上傳用戶：familiarsmile
//*** *** *** *** *** *** *** *** *** *** *** *** *** // MSP430x1xx Demo - Software Toggle P1.0 // // DESCRIPTION Toggle P1.0 by xor ing P1.0 inside of a software loop. // ACLK = n/a, MCLK = SMCLK = default DCO // // MSP430x1xx // ----------------- // /|\| XIN|- // | | | // --|RST XOUT|- // | | // | P1.0|-->LED // // A. Dannenberg // Texas Instruments, Inc // January 2006 // Built with IAR Embedded Workbench Version: 3.40A
上傳時間： 2015-12-10
上傳用戶：從此走出陰霾
Author: wei liu Summary: simulation of binary and non-binary bch decoder MATLAB Release: R14SP1 Required Products: Communications Toolbox DESCRIPTION: simulation of binary bch decoding algorithm for bch(n, k) with t bits error correction capability.
標簽： simulation non-binary Summary Release
上傳時間： 2014-01-10
上傳用戶：frank1234
Lua is a powerful, light-weight programming language designed for extending applications. It is also frequently used as a general-purpose, stand-alone language. It combines simple procedural syntax (similar to Pascal) with powerful data DESCRIPTION constructs based on associative arrays and extensible semantics. Lua is dynamically typed, interpreted from bytecodes, and has automatic memory management with garbage collection, making it ideal for configuration, scripting, and rapid prototyping.
標簽： applications light-weight programming extending
上傳時間： 2016-01-13
上傳用戶：1101055045
The problem of image registration subsumes a number of problems and techniques in multiframe image analysis, including the computation of optic flow (general pixel-based motion), stereo correspondence, structure from motion, and feature tracking. We present a new registration algorithm based on spline representations of the displacement field which can be specialized to solve all of the above mentioned problems. In particular, we show how to compute local flow, global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of the above problems. Using a spline-based DESCRIPTION of the flow removes the need for overlapping correlation windows, and produces an explicit measure of the correlation between adjacent flow estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D projective scene geometry. We also provide results on a number of standard motion sequences.
標簽： image registration multiframe techniques
上傳時間： 2016-01-20
上傳用戶：520
Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical DESCRIPTION of the algorithm. KF Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov models.
標簽： Hidden_Markov_model_for_automatic speech_recognition implements left-right
上傳時間： 2016-01-23
上傳用戶：569342831
