虫虫首页| 资源下载| 资源专辑| 精品软件
登录| 注册

NOISE

  • Abstract-The effect of the companding process on QAM signals has been under investigation for the p

    Abstract-The effect of the companding process on QAM signals has been under investigation for the past several years. The compander, included in the PCM telephone network to improve voice performance, has an unusual affect on digital QAM data signals which are transmitted over the same channel. The quantization NOISE, generated by the companding process which is multiplicative (and asymmetric), degrades the detectability performance of the outermost points of the QAM constellation more than that of the inner points. The combined effect of the companding NOISE and the inherent white gaussian NOISE of the system, leads us to a re-examination of signal constellation design. In this paper we investigate the detectability performance of a number of candidates for signal constellations including, a typical rectangular QAM constellation, the same constellation with the addition of a smear-desmear operation, and two new improved QAM constellation designs with two-dimensional warpi

    标签: investigation Abstract-The companding the

    上传时间: 2013-12-20

    上传用户:英雄

  • ofdm信道特性 Channel transmission simulator Channel transmission simulator % % inputs: % sig2 - noi

    ofdm信道特性 Channel transmission simulator Channel transmission simulator % % inputs: % sig2 - NOISE variance % Mt - number of Tx antennas % Mr - number of Rx antennas % x - vector of complex input symbols (for MIMO, this is a matrix, where each column % is the value of the antenna outputs at a single time instance) % H - frequency selective channel - represented in block-Toeplitz form for MIMO transmission % N - number of symbols transmitted in OFDM frame % % outputs: % y - vector of channel outputs (matrix for MIMO again, just like x matrix) % create NOISE vector sequence (each row is a different antenna, each column is a % different time index) note: NOISE is spatially and temporally white

    标签: transmission simulator Channel inputs

    上传时间: 2016-07-22

    上传用户:kelimu

  • 数字信号处理基于matlab 文件内容 /conv(卷积部分) dupconv 重叠保留法 freqcirconv 频域圆周卷积 freqconv 频域卷积 timecirconv

    数字信号处理基于matlab 文件内容 /conv(卷积部分) dupconv 重叠保留法 freqcirconv 频域圆周卷积 freqconv 频域卷积 timecirconv 时域圆周卷积 timeconv 时域卷积 /fft(频域分析部分) d2fft 基2FFT dft DFT最简化程序 dtft DTFT演示 /fir(fir滤波器设计) fir 得到fir滤波器hn getwindow 得到fir滤波器窗函数wn idealfilter 理想滤波器(低通,高通,带通)hdn idealhd 理想低通滤波器 /fir gui(fir滤波器GUI设计) gui_top 总图 gui_fir fir滤波器GUI gui_sigout 选择信号GUI /power caculate(功率谱分析) directpower 直接谱分析 indirectpower 间接谱分析(估计谱分析) NOISE 噪声谱分析 /sigout(常见信号产生) sigout 离散信号产生

    标签: freqcirconv timecirconv freqconv dupconv

    上传时间: 2016-08-26

    上传用户:13188549192

  • he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood form

    he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No NOISE is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.

    标签: equivalent likelihood algorithm Sejnowski

    上传时间: 2016-09-17

    上传用户:Altman

  • This function calculates Akaike s final prediction error % estimate of the average generalization e

    This function calculates Akaike s final prediction error % estimate of the average generalization error. % % [FPE,deff,varest,H] = fpe(NetDef,W1,W2,PHI,Y,trparms) produces the % final prediction error estimate (fpe), the effective number of % weights in the network if the network has been trained with % weight decay, an estimate of the NOISE variance, and the Gauss-Newton % Hessian. %

    标签: generalization calculates prediction function

    上传时间: 2014-12-03

    上传用户:maizezhen

  • This function calculates Akaike s final prediction error % estimate of the average generalization e

    This function calculates Akaike s final prediction error % estimate of the average generalization error for network % models generated by NNARX, NNOE, NNARMAX1+2, or their recursive % counterparts. % % [FPE,deff,varest,H] = nnfpe(method,NetDef,W1,W2,U,Y,NN,trparms,skip,Chat) % produces the final prediction error estimate (fpe), the effective number % of weights in the network if it has been trained with weight decay, % an estimate of the NOISE variance, and the Gauss-Newton Hessian. %

    标签: generalization calculates prediction function

    上传时间: 2016-12-27

    上传用户:脚趾头

  • The exercise should be finished in English. 2. According to Prof. Zhang s requirement, this exercis

    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.

    标签: requirement According exercise finished

    上传时间: 2014-01-06

    上传用户:zhangyigenius

  • RLS算法

    RLS算法,编写了MATLAB程序实现自适应干扰对消。给出信号实例,用于验证所编写程序的性能。所给信号为:①噪声与语音的混合信号——signalnosie.wav;②噪声信号——NOISE.wav。两信号均为立体声,PCM压缩,采样速率为48000Hz,采样精度16bits。

    标签: RLS 算法

    上传时间: 2014-12-05

    上传用户:anng

  • The software is capable to simulate space time code [1] for QPSK modulation using different number o

    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.

    标签: modulation different software simulate

    上传时间: 2014-01-22

    上传用户:qq1604324866

  • A MATLAB GUI platform for realizing the radiation pattern of narrowband beamformer with random array

    A MATLAB GUI platform for realizing the radiation pattern of narrowband beamformer with random array geometry. User can specify the array geometry, directions of incoming signals, NOISE power, and the type of beamformer. Useful for gaining insight about collaborative beamforming in sensor networks and random arrays. You need both randomarray.fig and randomarray.m to work.

    标签: beamformer narrowband realizing radiation

    上传时间: 2014-01-06

    上传用户:qb1993225