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Sunnyvale, CA, United States

Silicon Image is a provider of semiconductors for the mobile, consumer electronics and personal computers . It also manufactures wireless and wired connectivity products used for high-definition content. The company’s semiconductor and IP products are deployed by the electronics manufacturers in devices such as smartphones, tablets, digital televisions , other consumer electronics, as well as desktop and notebook PCs. Silicon Image, in cooperation with other companies, has driven the creation of some global industry standards such as DVI, HDMI, MHL, and WirelessHD. Silicon Image was founded in 1995, and is traded on the NASDAQ market under the symbol SIMG. It is headquartered in Sunnyvale, California, employs around 600 people worldwide and has regional engineering and sales offices in India, China, Japan, Korea and Taiwan. Wikipedia.


Ho K.-P.,Silicon Image | Kahn J.M.,Stanford University
Journal of Lightwave Technology | Year: 2011

The modal group delays (GDs) are a key property governing the dispersion of signals propagating in a multimode fiber (MMF). An MMF is in the strong-coupling regime when the total length of the MMF is much greater than the correlation length over which local principal modes can be considered constant. In this regime, the GDs can be described as the eigenvalues of zero-trace Gaussian unitary ensemble, and the probability density function (pdf) of the GDs is the eigenvalue distribution of the ensemble. For fibers with two to seven modes, the marginal pdf of the GDs is derived analytically. For fibers with a large number of modes, this pdf is shown to approach a semicircle distribution. In the strong-coupling regime, the delay spread is proportional to the square root of the number of independent sections, or the square root of the overall fiber length. © 2006 IEEE. Source


Ho K.-P.,Silicon Image | Kahn J.M.,Stanford University
Optics Express | Year: 2011

In multimode fiber transmission systems, mode-dependent loss and gain (collectively referred to as MDL) pose fundamental performance limitations. In the regime of strong mode coupling, the statistics of MDL (expressed in decibels or log power gain units) can be described by the eigenvalue distribution of zero-trace Gaussian unitary ensemble in the small-MDL region that is expected to be of interest for practical long-haul transmission. Information-theoretic channel capacities of mode-division-multiplexed systems in the presence of MDL are studied, including average and outage capacities, with and without channel state information. © 2011 Optical Society of America. Source


Ho K.-P.,Silicon Image
Journal of Lightwave Technology | Year: 2012

In the strong mode-coupling regime, the model for mode-dependent gains and losses (collectively referred as MDL) of a multimode fiber is extended to the region with large MDL. The MDL is found to have the same statistical properties as the eigenvalues of the sum of two matrices. The first matrix is a random Gaussian matrix with its standard deviation proportional to the accumulated MDL. The other matrix is a deterministic matrix with uniform eigenvalues proportional to the square of the accumulated MDL. The results are analytically correct for fibers with two or very large number of modes, and also numerically verified for multimode fibers with other number of modes. © 2012 IEEE. Source


Ho K.-P.,Silicon Image | Kahn J.M.,Stanford University
Journal of Lightwave Technology | Year: 2014

In this paper, we review linear propagation effects in a multimode fiber (MMF) and their impact on performance and complexity in long-haul mode-division multiplexing (MDM) systems. We highlight the many similarities to wireless multi-input multioutput (MIMO) systems. Mode-dependent loss and gain (MDL), analogous to multipath fading, can reduce average channel capacity and cause outage in narrowband systems. Modal dispersion (MD), analogous to multipath delay spread, affects the complexity of MIMO equalization, but has no fundamental effect on performance. Optimal MIMO transmission uses a basis of the Schmidt modes, which may be obtained by a singular value decomposition of the MIMO channel. In the special case of a unitary channel (no MDL), an optimal basis is the set of principal modes, which are eigenvectors of a group delay operator, and are free of signal distortion to first order. We present a concatenation rule for the accumulation of MD along a multisection link. We review mode coupling in MMF, including physical origins, models, and regimes of weak and strong coupling. Strong mode coupling is a key to overcoming challenges in MDM systems. Strong coupling reduces the group delay spread from MD, minimizing the complexity of MIMO signal processing. Likewise, it reduces the variations of loss and gain from MDL, maximizing channel capacity. In the strong-coupling regime, the statistics of MD and MDL depend only on the number of modes and the variance of accumulated group delay or loss/gain, and can be derived from the eigenvalue distributions of certain Gaussian random matrices. © 2013 IEEE. Source


Embodiments relate to half-duplex bidirectional transmission of data compliant with a first standard (e.g., Universal Serial Bus (USB) standard) over a physical channel of a multimedia link for transmitting audio/video (A/V) data compliant with a second standard (e.g., Mobile High-Definition Link (MHL) standard) between a source device and a sink device using time division multiplexing (TDM). The source device sends units of data including A/V data and forward data compliant with the first standard at first times whereas the sink device sends units of data including backward data compliant with the first standard at second times between transmissions from the source device. The first times do not overlap with the second times. Synchronization signals may be added to the first and second units of data to align character symbols embedded in the first and second units of data.

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