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Hard-decision decoding scheme Codeword length (n) : 31 symbols. Message length (k) : 19 symbols. Error correction capability (t) : 6 symbols One symbol represents 5 bit. Uses GF(2^5) with primitive polynomial p(x) = X^5 X^2 + 1 Generator polynomial, g(x) = a^15 a^21*X + a^6*X^2 + a^15*X^3 + a^25*X^4 + a^17*X^5 + a^18*X^6 + a^30*X^7 + a^20*X^8 + a^23*X^9 + a^27*X^10 + a^24*X^11 + X^12. Note: a = alpha, primitive element in GF(2^5) and a^i is root of g(x) for i = 19, 20, ..., 30. Uses Verilog description with synthesizable RTL modelling. Consists of 5 main blocks: SC (Syndrome Computation), KES (Key Equation Solver), CSEE (Chien Search and Error Evaluator), Controller and FIFO Register.
標(biāo)簽： symbols length Hard-decision Codeword
上傳時(shí)間： 2014-07-08
上傳用戶：曹云鵬
This code was used for making the practical measurements in section 2.3 of my thesis. This Matlab code allows an OFDM signal to be generated based on an input data file. The data can be random data, a grey scale image, a wave file, or any type of file. The generated OFDM signal is stored as a windows wave file, allowing it to be viewed, listened to and manipulated in other programs. The modified wave file can then be decoded by the receiver software to extract the original data. This code was developed for the experiments that I performed in my honours thesis, and thus has not been fully debugged. This is the original code developed for the thesis and so has several problems with it. The BER performance given by the simulations is infact symbol Error Rate.
標(biāo)簽： This measurements practical section
上傳時(shí)間： 2015-09-20
上傳用戶：tedo811
in this paper,wo propose an extension of the zerotree-based space-frequency quantization algorithm by adding a wedgelet symbol to its tree-pruning optimization.
標(biāo)簽： space-frequency zerotree-based quantization algorithm
上傳時(shí)間： 2015-10-22
上傳用戶：yxgi5
VC編譯出錯(cuò)的問題解決方法。比如：LNK2001解決外部符號錯(cuò)誤，鏈接錯(cuò)誤unresolved external symbol _main的解決
上傳時(shí)間： 2015-11-23
上傳用戶：agent
We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation, phase-shift keying, and pulse amplitude modulation communications systems.We study the performance of a standard CFO estimate, which consists of first raising the received signal to the Mth power, where M is an integer depending on the type and size of the symbol constellation, and then applying the nonlinear least squares (NLLS) estimation approach. At low signal-to noise ratio (SNR), the NLLS method fails to provide an accurate CFO estimate because of the presence of outliers. In this letter, we derive an approximate closed-form expression for the outlier probability. This enables us to predict the mean-square error (MSE) on CFO estimation for all SNR values. For a given SNR, the new results also give insight into the minimum number of samples required in the CFO estimation procedure, in order to ensure that the MSE on estimation is not significantly affected by the outliers.
標(biāo)簽： frequency-offset estimation quadrature amplitude
上傳時(shí)間： 2014-01-22
上傳用戶：牛布牛
Windows mobile 5.0的經(jīng)典客戶機(jī)、服務(wù)器Socket通信實(shí)例，摘自symbol公司的軟件源代碼，本人已經(jīng)在VS2005上調(diào)試通過。程序中有詳細(xì)文檔說明，如有問題請與本人聯(lián)系。
標(biāo)簽： Windows Socket mobile 5.0
上傳時(shí)間： 2014-01-25
上傳用戶：zsjinju
The SDK includes: Ø PtImageRW -Image file reading/writing. Ø PtPDF417Encode -PDF417 symbol writing Ø PtPDF417Decode -PDF417 symbol reading. Ø PtQREncode -QR Code symbol writing. Ø PtQRDecode -QR Code symbol reading. Ø PtDMEncode -Data Matrix symbol writing. Ø PtDMDecode -Data Matrix symbol reading. doc
標(biāo)簽： Oslash PtImageRW includes reading
上傳時(shí)間： 2013-12-23
上傳用戶：希醬大魔王
在DAB系統(tǒng)中的頻率同步，載頻同步，參考一下Carrier frequency offset estimation of DAB receiver based on phase reference symbol
上傳時(shí)間： 2014-11-23
上傳用戶：songrui
Obtain the CDF plots of PAPR from an OFDM BPSK transmission specified per IEEE 802.11a specification Per the IEEE 802.11a specifications, we 52 have used subcarriers. Given so, the theoretical maximum expected PAPR is 52 (around 17dB). However, thanks to the scrambler, all the subcarriers in an OFDM symbol being equally modulated is unlikely. Using a small script, the cumulative distribution of PAPR from each OFDM symbol, modulated by a random BPSK signal is obtained
標(biāo)簽： specification transmission specified Obtain
上傳時(shí)間： 2016-04-24
上傳用戶：haoxiyizhong
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.
標(biāo)簽： decompress algorithm compress Huffman
上傳時(shí)間： 2016-05-16
上傳用戶：aysyzxzm
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