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State-transition

Designing a synchronous finite state machine (FSM) is a common task for a digital logic engineer. T

Designing a synchronous finite state machine (FSM) is a common task for a digital logic engineer. This paper discusses a variety of issues regarding FSM design using Synopsys Design Compiler. Verilog and VHDL coding styles are presented, and different methodologies are compared using real-world examples.

標(biāo)簽： synchronous Designing engineer digital

上傳時(shí)間： 2014-01-17

上傳用戶(hù)：dreamboy36
rc5 encryption- rc5 encryption using vhdl, using state machine, more detailed description can be fou

rc5 encryption- rc5 encryption using vhdl, using state machine, more detailed description can be found in ieee papers.

標(biāo)簽： encryption using description rc5

上傳時(shí)間： 2013-12-22

上傳用戶(hù)：13517191407
RC5 decryption algorithm implementation, using vhdl, with state machine implementation, use ieee pap

RC5 decryption algorithm implementation, using vhdl, with state machine implementation, use ieee papers for more detailed description.

標(biāo)簽： implementation decryption algorithm machine

上傳時(shí)間： 2014-01-06

上傳用戶(hù)：bruce5996
rc5 key expansion algorithm implementation in vhdl, using state machine too. use ieee papers for mor

rc5 key expansion algorithm implementation in vhdl, using state machine too. use ieee papers for more detailed description

標(biāo)簽： implementation expansion algorithm machine

上傳時(shí)間： 2017-07-14

上傳用戶(hù)：lyy1234
gum vending machine implementation in vhdl, state machine implementation,

gum vending machine implementation in vhdl, state machine implementation,

標(biāo)簽： implementation machine vending state

上傳時(shí)間： 2017-07-14

上傳用戶(hù)：zycidjl
least mean square algorithm for estimation state

least mean square algorithm for estimation state

標(biāo)簽： estimation algorithm square least

上傳時(shí)間： 2013-12-20

上傳用戶(hù)：jackgao
The design of Kalman filter for estimation of state

The design of Kalman filter for estimation of state

標(biāo)簽： estimation Kalman design filter

上傳時(shí)間： 2013-12-23

上傳用戶(hù)：gtf1207
A 8 puzzle program solver.user have to input the current state and goal state of your 8 puzzle and i

A 8 puzzle program solver.user have to input the current state and goal state of your 8 puzzle and it solving by the program.

標(biāo)簽： puzzle state and program

上傳時(shí)間： 2014-08-10

上傳用戶(hù)：huyiming139
Two scripts are included here. 1. convsys.m - combines the state space representation of two syst

Two scripts are included here. 1. convsys.m - combines the state space representation of two systems connected in series. [Ao,Bo,Co,Do]=convsys(A1,B1,C1,D1,A2,B2,C2,D2) This algorithm gives the convolution of two state space representations | A1 B1 | | A2 B2 | u ==> | | ==> | | ==> y | C1 D1 | | C2 D2 | The algorithm also accepts state space objects as inputs and gives out a state space object as output. 2. sysfeedbk.m [Ao,Bo,Co,Do]=convsys(A1,B1,C1,D1,A2,B2,C2,D2) Gives the closed loop state space representation for two systems connected with negative feedback in the following manner. | A1 B1 | u ==> | | ==> y + o | C1 D1 | | - | | | | A2 B2 | | |= | |= | | C2 D2 | The zip file also contains checkcompatibility.m , which checks the compatibility of matrix dimensions in the system and cleanss.m which can be used to clean a state space representation.

標(biāo)簽： representation included combines scripts

上傳時(shí)間： 2017-07-25

上傳用戶(hù)：semi1981
The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic syst

The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. It is used in a wide range of engineering applications from radar to computer vision, and is an important topic in control theory and control systems engineering. Together with the linear-quadratic regulator (LQR), the Kalman filter solves the linear-quadratic-Gaussian control problem (LQG). The Kalman filter, the linear-quadratic regulator and the linear-quadratic-Gaussian controller are solutions to what probably are the most fundamental problems in control theory.

標(biāo)簽： filter efficient estimates recursive

上傳時(shí)間： 2017-08-06

上傳用戶(hù)：風(fēng)之驕子