加密算法
Test Driver for Crypto++, a C++ Class Library of Cryptographic Primitives:
- To generate an RSA key
cryptest g
- To encrypt and decrypt a string using RSA
cryptest r
- To calculate MD5, SHS, and RIPEMD-160 message digests:
cryptest m file
- To encrypt and decrypt a string using DES-EDE in CBC mode:
cryptest t
- To encrypt or decrypt a file
cryptest e|d input output
- To share a file into shadows:
cryptest s <pieces> <pieces-needed> file
(make sure file has no extension, if you re running this under DOS)
- To reconstruct a file from shadows:
cryptest j output file1 file2 [....]
- To gzip a file:
cryptest z <compression-level> input output
- To gunzip a file:
cryptest u input output
- To run validation tests:
cryptest v
- To run benchmarks:
cryptest b [time for each benchmark in seconds]
ICA介紹課件。There has been a wide discussion about the application of Independence Component Analysis (ICA) in Signal Processing, Neural Computation and Finance, first introduced as a novel tool to separate blind sources in a mixed signal. The Basic idea of ICA is to reconstruct from observation sequences the hypothesized independent original sequences
3D shape reconstruction matlab code. It used shape from defocus technique with least squares. You can reconstruct 3D shape with only two different depth images.
3D shape reconstruction matlab code. It used shape from defocus technique with divergence. You can reconstruct 3D shape with only two different depth images.
3D shape reconstruction matlab code. It used shape from defocus technique with diffusion. You can reconstruct 3D shape with only two different depth images.
P3.20. Consider an analog signal xa (t) = sin (2πt), 0 ≤t≤ 1. It is sampled at Ts = 0.01, 0.05,
and 0.1 sec intervals to obtain x(n).
b) reconstruct the analog signal ya (t) from the samples x(n) using the sinc interpolation
(use ∆ t = 0.001) and determine the frequency in ya (t) from your plot. (Ignore the end
effects.)
C) reconstruct the analog signal ya (t) from the samples x (n) using the cubic spline
interpolation and determine the frequency in ya (t) from your plot. (Ignore the end effects.)
We introduce a sub-cell WENO reconstruction method to evaluate spatial derivatives in the high-order ADER scheme. The basic idea in our reconstruction is to use only r stencils to reconstruct the point-wise values of solutions and spatial derivatives for the 2r-1 th order
ADER scheme in one dimension, while in two dimensions, the dimension-by-dimension sub-cell reconstruction approach for spatial derivatives is employed. Compared with the original ADER scheme of Toro and Titarev (2002) [2] that uses the direct derivatives of reconstructed polynomials for solutions to evaluate spatial derivatives, our method not only reduces greatly the computational costs of the ADER scheme on a given mesh,
but also avoids possible numerical oscillations near discontinuities, as demonstrated by a number of one- and two-dimensional numerical tests. All these tests show that the 5th-order ADER scheme based on our sub-cell reconstruction method achieves the desired accuracy, and is essentially non-oscillatory and computationally cheaper for problems with discontinuities.
