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Interrupt
很全的中断手册。
INT 00 - CPU-generated - DIVIDE ERROR
INT 01 - CPU-generated - SINGLE STEP (80386+) - DEBUGGING EXCEPTIONS
INT 02 - external hardware - NON-MASKABLE INTERRUPT
INT 03 - CPU-generated - BREAKPOINT
INT 04 - CPU-generated - INTO DETECTED OVERFLOW
INT 05 - PRINT SCREEN CPU-generated (80186+) - BOUND RANGE EXCEEDED
INT 06 - CPU-generated (80286+) - INVALID OPCODE
INT 07 - CPU-generated (80286+) - PROCESSOR EXTENSION NOT AVAILABLE
INT 08 - IRQ0 - SYSTEM TIMER CPU-generated (80286+)
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.(Very wide manual interruption. INT 00- CPU-generated- DIVIDE ERRORINT 01- CPU-generated- SINGLE STEP (80386+)- DEBUGGING EXCEPTIONSINT 02- external hardware- NON-MASKABLE INTERRUPTINT 03- CPU-generated- BREAKPOINTINT 04- CPU-generated- INTO DETECTED OVERFLOWINT 05- PRINT SCREEN CPU-generated (80186+)- BOUND RANGE EXCEEDEDINT 06- CPU-generated (80286+)- INVALID OPCODEINT 07- CPU-generated (80286+)- PROCESSOR EXTENSION NOT AVAILABLEINT 08- IRQ0- SYSTEM TIMER CPU-generated ( 802862B !)...)
- 2007-10-16 02:10:59下载
- 积分：1
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VCMatlab
VC++与Matlab混合编程实现图像处理(VC and Matlab Image Processing Mixed Programming)
- 2009-10-10 12:43:09下载
- 积分：1
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lpcaudcom
audio signals coding using lpc
- 2010-09-18 17:00:52下载
- 积分：1
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siftDemoV4
Scale Invariant Feature transform ( SIFT)-- this code implements the SIFT algorithm which extracts features invariant to Scale, Rotation and translation from any image.
- 2011-04-29 20:18:10下载
- 积分：1
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FFTandIFFT
利用matlab进行FFT和IFFT计算线性卷积，并得到其曲线(Using matlab FFT and IFFT calculations for linear convolution, and get the curve)
- 2011-07-08 22:21:32下载
- 积分：1
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lorenz_chonggou
这是一个完整的混沌理论中的相空间重构的程序，重构的是蝴蝶效应的了洛伦兹吸引子，压缩包里面有3部分程序，一个是数据，一个是主程序，一个是子程序。(This is a complete chaos theory of phase space reconstruction program, reconstruction of the butterfly effect of the Lorenz attractor, the archive there are three parts of the program, one for data, one main, one child program.)
- 2021-02-22 13:59:41下载
- 积分：1
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aproxAntenas_bessel_simpson
Aproximaciones de Bessel y Simpson
- 2009-05-22 01:31:55下载
- 积分：1
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wavelet
采用小波包算法进行压缩，小波树的确定则是根据不同的信息论准则，以达到分解系数表达的信息密度最高(Algorithm using wavelet packet compression, wavelet tree to determine if information theory is based on different criteria to achieve the decomposition coefficient expressed the highest density of information)
- 2011-05-27 22:03:05下载
- 积分：1
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ARMAX
根据输入输出数据，进行ARMA定阶、辨识，可用于SISO的最小方差控制系统性能评价(According to the input and output data, ARMA order determination, identification, control systems can be used to minimize the variance of performance uation SISO)
- 2015-01-09 12:16:51下载
- 积分：1
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Reversible_Jump_MCMC_Bayesian_Model_Selection
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
(This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
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- 2008-03-07 23:23:12下载
- 积分：1
