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  • Using Jacobi method and Gauss-Seidel iterative methods to solve the following system The require

    Using Jacobi method and Gauss-Seidel iterative methods to solve the following system The required precision is   =0.00001, and the maximum iteration number N=25. compare the number of iterations and the convergence of these two methods

    標簽: Gauss-Seidel iterative following methods

    上傳時間: 2016-02-06

    上傳用戶:zmy123

  • 電路仿真程序 Classic Ladder is coded 100% in C.It can be used for educational purposes or anything you wan

    電路仿真程序 Classic Ladder is coded 100% in C.It can be used for educational purposes or anything you want... The graphical user interface uses GTK. In the actual version, the following elements are implemented : * Booleans elements * Rising / falling edges * Timers * Monostables * compare of arithmetic expressions

    標簽: educational anything purposes Classic

    上傳時間: 2014-01-13

    上傳用戶:xg262122

  • The goal of this exercise is to understand the concept of Carrier-Sensing in IEEE 802.11 standard an

    The goal of this exercise is to understand the concept of Carrier-Sensing in IEEE 802.11 standard and compare Physical Carrier Sense and Virtual Carrier Sense mechanisms.

    標簽: Carrier-Sensing understand exercise standard

    上傳時間: 2014-01-10

    上傳用戶:ljt101007

  • There are two files in the zip folder. bpsk_spread.m and jakesmodel.m Steps for simulation: 1] Run

    There are two files in the zip folder. bpsk_spread.m and jakesmodel.m Steps for simulation: 1] Run jakesmodel.m first 2] Then run bpsk_spread.m . 3] Note that during the first run bpsk_spread.m has no rayleigh fading.This is because the corresponding code has been commented 4] The resulting performance is stored in BER_awgn. 5] Now uncomment the Rayleigh Fading code in bpsk_spread.m file. 6] Same time comment BER_awgn (line 112) and uncomment BER_ray variable. 7] Run the simulation. To compare the perfromances of the receiver using DSSS plot the BER_awgn and BER_ray

    標簽: bpsk_spread jakesmodel simulation folder

    上傳時間: 2016-05-19

    上傳用戶:ynsnjs

  • DESProcess FILE *mfp,*cfp int ttch=0,xorRes,ttbitdiff=0 char mch,cch float bdiff=0 if

    DESProcess FILE *mfp,*cfp int ttch=0,xorRes,ttbitdiff=0 char mch,cch float bdiff=0 if((mfp=fopen(mfile,"r"))==NULL) {cout<<"Cannot open the file to compare"<<endl } if((cfp=fopen(cfile,"r"))==NULL) {cout<<"Cannot open the file to compare"<<endl } else { while(!feof(mfp)&!feof(cfp)) { ttch++ mch=fgetc(mfp) cch=fgetc(cfp) xorRes=mch^cch ttbitdiff+=(xorRes&1)+(xorRes&2)/2+(xorRes&4)/4+(xorRes&8)/8+(xorRes&16)/16+(xorRes&32)/32+(xorRes&64)/64+(xorRes&128)/128 } bdiff=float(ttbitdiff)*100/float(ttch*8) } *bitdiff8byte=float(ttbitdiff)*100/float(8*8) return bdiff

    標簽: DESProcess ttbitdiff xorRes bdiff

    上傳時間: 2016-07-02

    上傳用戶:1079836864

  • The DHRY program performs the dhrystone benchmarks on the 8051. Dhrystone is a general-performanc

    The DHRY program performs the dhrystone benchmarks on the 8051. Dhrystone is a general-performance benchmark test originally developed by Reinhold Weicker in 1984. This benchmark is used to measure and compare the performance of different computers or, in this case, the efficiency of the code generated for the same computer by different compilers. The test reports general performance in dhrystones per second. Like most benchmark programs, dhrystone consists of standard code and concentrates on string handling. It uses no floating-point operations. It is heavily influenced by hardware and software design, compiler and linker options, code optimizing, cache memory, wait states, and integer data types. The DHRY program is available in different targets: Simulator: Large Model: DHRY example in LARGE model for Simulation Philips 80C51MX: DHRY example in LARGE model for the Philips 80C51MC

    標簽: general-performanc benchmarks Dhrystone dhrystone

    上傳時間: 2016-11-30

    上傳用戶:hphh

  • 本例展示了如何利用外設(shè)TIM2來產(chǎn)生四路頻率不同的信號。 TIM2時鐘設(shè)置為36MHz

    本例展示了如何利用外設(shè)TIM2來產(chǎn)生四路頻率不同的信號。 TIM2時鐘設(shè)置為36MHz,預(yù)分頻設(shè)置為2,使用輸出比較-翻轉(zhuǎn)模式(Output compare Toggle Mode)。 TIM2計數(shù)器時鐘可表達為:TIM2 counter clock = TIMxCLK / (Prescaler +1) = 12 MHz 設(shè)置TIM2_CCR1寄存器值為32768,則CC1更新頻率為TIM2計數(shù)器時鐘頻率除以CCR1寄存器值,為366.2 Hz。因此,TIM2通道1可產(chǎn)生一個頻率為183.1 Hz的周期信號。 同理,根據(jù)寄存器TIM2_CCR2 、TIM2_CCR3和 TIM2_CCR4的值,TIM2通道2可產(chǎn)生一個頻率為366.3 Hz的周期信號;TIM2通道3可產(chǎn)生一個頻率為732.4 Hz的周期信號;TIM2通道4可產(chǎn)生一個頻率為1464.8 Hz的周期信號。 可以通過示波器觀察各路輸出

    標簽: TIM2 MHz 36 如何利用

    上傳時間: 2014-01-22

    上傳用戶:plsee

  • The C++ Editor is a text editor for C++ programmers. The editor have color syntax highlighting. Ed

    The C++ Editor is a text editor for C++ programmers. The editor have color syntax highlighting. Editor s main purpose is to edit source code files outside the IDE (Integrated Development Environment) with multiple opened copies of program, when programmer needs to find, replace or compare source code. The program can compile the file using for this purpose the Microsoft VC compiler. Most effectively the editor can be used with a file search utility. The search utility Search&Edit or IDE Helper is available for download on developer s WEB site (http://www.easydevtools.com/dwnl_frame.htm).

    標簽: editor highlighting programmers The

    上傳時間: 2013-12-09

    上傳用戶:x4587

  • In this program we calculate the scattering field of a infinite rectangular surface. I use Physical

    In this program we calculate the scattering field of a infinite rectangular surface. I use Physical Optic method and compare the result with exact solution.

    標簽: rectangular scattering calculate Physical

    上傳時間: 2014-01-19

    上傳用戶:362279997

  • In computer vision, sets of data acquired by sampling the same scene or object at different times, o

    In computer vision, sets of data acquired by sampling the same scene or object at different times, or from different perspectives, will be in different coordinate systems. Image registration is the process of transforming the different sets of data into one coordinate system. Registration is necessary in order to be able to compare or integrate the data obtained from different measurements. Image registration is the process of transforming the different sets of data into one coordinate system. To be precise it involves finding transformations that relate spatial information conveyed in one image to that in another or in physical space. Image registration is performed on a series of at least two images, where one of these images is the reference image to which all the others will be registered. The other images are referred to as target images.

    標簽: different computer acquired sampling

    上傳時間: 2013-12-28

    上傳用戶:來茴

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