本程序利用改進(jìn)的CHOW算法，仿真了自適應(yīng)OFDM系統(tǒng)的性能，并畫出了SnR-BER仿真圖。對于學(xué)習(xí)OFDM自適應(yīng)資源分配者有很幫助。
上傳時(shí)間： 2014-01-08
上傳用戶：aysyzxzm
這個(gè)Matlab程序?qū)崿F(xiàn)了MAP算法-最大后驗(yàn)概率算法，同時(shí)包括對算法有：卷積編碼、卷積解碼，BPSK，AWGN。同時(shí)繪制它的誤碼率和SnR(信噪比)。
上傳時(shí)間： 2013-12-17
上傳用戶：kristycreasy
The exercise should be finished in English. 2. According to Prof. Zhang s requirement, this exercise mainly focuses on the BER performance of some wireless communication system using specific coding and modulation type through the AWGN channel. Signal-to-Noise ration (SnR) varies from 5dB to 20dB.
標(biāo)簽： requirement According exercise finished
上傳時(shí)間： 2014-01-06
上傳用戶：zhangyigenius
灰度圖像的jpeg壓縮處理，解壓處理，以及信噪比SnR的計(jì)算
上傳時(shí)間： 2013-12-17
上傳用戶：xc216
The software is capable to simulate space time code [1] for QPSK modulation using different number of state. Examples of generator matrix up to 256 stetes are provided. Variable signal to noise ratio (SnR) might be applied to produce bit error rate (BER) or frame error rate (FER) curves.
標(biāo)簽： modulation different software simulate
上傳時(shí)間： 2014-01-22
上傳用戶：qq1604324866
In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SnR is also determined.
標(biāo)簽： mean-square multiuser receiver project
上傳時(shí)間： 2014-11-21
上傳用戶：ywqaxiwang
This document contains a detailed description of the usage and configuration of the JSVM [Joint Scalable Video Model] software for the Scalable Video Coding [SVC] project of the Joint Video Team [JVT] of the ISO/IEC Moving Pictures Experts Group [MPEG] and the ITU-T Video Coding Experts Group [VCEG]. It provides information how to build the software on Windows32 and Linux platforms. It contains a description of the usage and configuration for the binaries built from the software package, including examples for spatial, SnR and combined scalability scenarios. Guidelines for the integration and validation of new tools in the software are provided.
標(biāo)簽： configuration description the document
上傳時(shí)間： 2017-03-26
上傳用戶：sz_hjbf
forming of a signal, GLONASS system, coherent reception, graph autocorrelation, crosscorrelation function, bit-error probability[SnR]
標(biāo)簽： crosscorrelation autocorrelation reception coherent
上傳時(shí)間： 2013-12-27
上傳用戶：小鵬
，對于一個(gè)使用相關(guān)器的二進(jìn)制通信系統(tǒng)，用monte carlo仿真估計(jì)Pe并且畫出Pe與SnR的對比圖~
標(biāo)簽： 二進(jìn)制 通信系統(tǒng)
上傳時(shí)間： 2017-08-22
上傳用戶：thesk123
turbo編碼的map算法，很簡潔，有SnR曲線
上傳時(shí)間： 2014-12-04
上傳用戶：Thuan
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