This zip contains a simple paper of SPIHT generated streams run length encoded ... later i ll be posting the MATLAB source code also and also SPIHT with Arithmetic coding
I ve written some many years ago dynamic Huffman algorithm to compress and decompress data. It is mainly targeted to data with some symbols occuring more often than the rest (e.g. having some data file consisted of 3 different symbols and their total number of occurence in that file s1(1000), s2(200), s3(30) so the total length of file is 1000+200+30=1230 bytes, it will be encoded assigning one bit to s1 and 2 bits to s2, s3 so the encoded length will be 1*1000+2*(200+30)=1460 bits=182 bytes). In the best case the file consisted of just one symbol will be encoded with compression ratio as 1:8. Huffman coding is used in image compression, however in JPEG2000 Arithmetic codec is imployed.
Coaxial feed structures are widely used in ultra-wide band antennas . This paper modeled the characteristic of the monopole antenna feeded by coaxial line by FDTD in the time-domiain,which showes that . Firstly, it introduced the theory of the Arithmetic and the particularly realization in the calculation then it described the use in the time-domain finally it analysed several characteristics of the monopole antenna. The Arithmetic used in the microstrip antenna is also a quick and economical way to design the antenna.
The GNU MP Bignum Library，非常好用的大數運算庫，GMP is a free library for arbitrary precision Arithmetic, operating on signed integers, rational numbers, and floating point numbers.
The TMS320C54x, TMS320LC54x, and TMS320VC54x fixed-point, digital signal processor (DSP) families
(hereafter referred to as the ’54x unless otherwise specified) are based on an advanced modified Harvard
architecture that has one program memory bus and three data memory buses. These processors also provide
an Arithmetic logic unit (ALU) that has a high degree of parallelism, application-specific hardware logic, on-chip
memory, and additional on-chip peripherals. These DSP families also provide a highly specialized instruction
set, which is the basis of the operational flexibility and speed of these DSPs.
密碼學界牛人Victor Shoup用C++編寫數論類庫。
NTL is a high-performance, portable C++ library providing data structures and algorithms for arbitrary length integers for vectors, matrices, and polynomials over the integers and over finite fields and for arbitrary precision floating point Arithmetic.
NTL provides high quality implementations of state-of-the-art algorithms for:
* arbitrary length integer Arithmetic and arbitrary precision floating point Arithmetic
* polynomial Arithmetic over the integers and finite fields including basic Arithmetic, polynomial factorization, irreducibility testing, computation of minimal polynomials, traces, norms, and more
* lattice basis reduction, including very robust and fast implementations of Schnorr-Euchner, block Korkin-Zolotarev reduction, and the new Schnorr-Horner pruning heuristic for block Korkin-Zolotarev
* basic linear algebra over the integers, finite fields, and arbitrary precision floating point numbers.
This thesis is devoted to several efficient VLSI architecture design issues in errorcorrecting
coding, including finite field Arithmetic, (Generalized) Low-Density Parity-
Check (LDPC) codes, and Reed-Solomon codes.
SFLOP simulates a floating point operation
x op y where op = +, -, *, /
In chopping or rounding Arithmetic using an
m digit mantissa, base 10, and an unrestricted
exponent range. (sflop: Simulate FLOating Point
operation.) For more details on the how the floating
point representation of a number is computed see
the function sfl.
ieee754的標準，原英文版的！Twenty years ago anarchy threatened floating-point Arithmetic. Over a dozen commercially significant Arithmetics
boasted diverse wordsizes, precisions, rounding procedures and over/underflow behaviors, and more were in the
works. “Portable” software intended to reconcile that numerical diversity had become unbearably costly to
develop.
Thirteen years ago, when IEEE 754 became official, major microprocessor manufacturers had already adopted it
despite the challenge it posed to implementors. With unprecedented altruism, hardware designers had risen to its
challenge in the belief that they would ease and encourage a vast burgeoning of numerical software. They did
succeed to a considerable extent. Anyway, rounding anomalies that preoccupied all of us in the 1970s afflict only
CRAY X-MPs — J90s now.
