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其他书籍 Noncoherent receivers are attractive for pulsed UWB systems due to the implementation simplicity. To

Noncoherent receivers are attractive for pulsed UWB systems due to the implementation simplicity. To alleviate the noise effect in detecting UWB PPM signals, this letter proposes a simple yet flexible weighted noncoherent receiver structure, which adopts a square-law integrator multiplied with a win ...
https://www.eeworm.com/dl/542/283591.html
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系统设计方案 A new PLL topology and a new simplified linear model are presented. The new fractional-N synthesizer

A new PLL topology and a new simplified linear model are presented. The new fractional-N synthesizer presents no reference spurs and lowers the overall phase noise, thanks to the presence of a SampleJHold block. With a new simulation methodology it is possible to perform very accurate simulations, w ...
https://www.eeworm.com/dl/678/283593.html
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系统设计方案 This paper presents the key circuits of a 1MHz bandwidth, 750kb/s GMSK transmitter. The fractional-N

This paper presents the key circuits of a 1MHz bandwidth, 750kb/s GMSK transmitter. The fractional-N synthesizer forming the basis of the transmitter uses a combined phasefrequency detector (PFD) and digital-to-analog converter (DAC) circuit element to obtain >28dB high frequency noise reduction whe ...
https://www.eeworm.com/dl/678/283594.html
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系统设计方案 Fast settling-time added to the already conflicting requirements of narrow channel spacing and low

Fast settling-time added to the already conflicting requirements of narrow channel spacing and low phase noise lead to Fractional4 divider techniques for PLL synthesizers. We analyze discrete "beat-note spurious levels from arbitrary modulus divide sequences including those from classic accumulator ...
https://www.eeworm.com/dl/678/283596.html
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数学计算 This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hier

This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that n ...
https://www.eeworm.com/dl/641/284868.html
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数学计算 runs Kalman-Bucy filter over observations matrix Z for 1-step prediction onto matrix X (X can = Z)

runs Kalman-Bucy filter over observations matrix Z for 1-step prediction onto matrix X (X can = Z) with model order p V = initial covariance of observation sequence noise returns model parameter estimation sequence A, sequence of predicted outcomes y_pred and error matrix Ey (reshaped) for y and Ea ...
https://www.eeworm.com/dl/641/289139.html
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压缩解压 Image Compression A collection of simple routines for image compression using different techniqu

Image Compression A collection of simple routines for image compression using different techniques. 图象压缩的不同方法 BTCODE: Image compression Using Block Truncation Coding. PYRAMID: Image compression based on Gaussian Pyramids. DCTCOMPR: Image compression based on Discrete Cosine Transform. ...
https://www.eeworm.com/dl/617/294636.html
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微处理器开发 NAME: u2440mon.c DESC: u2440mon entry point,menu,download HISTORY: Mar.25.2002:purnnamu: S3C24

NAME: u2440mon.c DESC: u2440mon entry point,menu,download HISTORY: Mar.25.2002:purnnamu: S3C2400X profile.c is ported for S3C2410X. Mar.27.2002:purnnamu: DMA is enabled. Apr.01.2002:purnnamu: isDownloadReady flag is added. Apr.10.2002:purnnamu: - Selecting menu is available in the waiting loop ...
https://www.eeworm.com/dl/655/294788.html
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matlab例程 I developed an algorithm for using local ICA in denoising multidimensional data. It uses delay embed

I developed an algorithm for using local ICA in denoising multidimensional data. It uses delay embedded version of the data, clustering and ICA for the separation between data and noise.
https://www.eeworm.com/dl/665/303147.html
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人工智能/神经网络 This demonstration illustrates the application of adaptive filters to signal separation using a str

This demonstration illustrates the application of adaptive filters to signal separation using a structure called an adaptive line enhancer (ALE). In adaptive line enhancement, a measured signal x(n) contains two signals, an unknown signal of interest v(n), and a nearly-periodic noise signal eta(n). ...
https://www.eeworm.com/dl/650/305230.html
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