A new adaptive multiple-shift correlation (MSC)-based blind channel equalizer (BCE) for multiple FIR channels is proposed. The performance of theMSC-based BCE under channel order mismatches due to small head and tail channel coefficient is investigated. The performance degradation is a function of the optimal output SINR, the optimal output power, and the control vector. This paper also propose...

This paper reports a method for the production of arrays of nanolitre plugs with distinct chemical compositions. One of the primary constraints on the use of plug-based microfluidics for large scale biological screening is the difficulty of fabricating arrays of chemically distinct plugs on the nanolitre scale. Here, using microfluidic devices with several T-junctions linked in series, a single...

We study the information processing properties of a binary channel receiving data from a gaussian source. A systematic comparison with linear processing is done. A remarkable property of the binary sytem is that, as the ratio between the number of output and input units increases, binary processing becomes equivalent to linear processing with a quantization output noise that depends on. In this...

A growth model is developed for an open dual economy. Th e economy expands due to a higher growth rate of labour productivity in the modern sector through the Kaldor-Verdoorn channel and higher eff ective demand through a Keynesian channel. Th e model incorporates a retardation mechanism aff ecting the slopes of productivity and output growth schedules as labour surplus and economies of scale d...

In a model where two competing downstream firms establish an input joint venture (JV), we analyze how different royalty rules for covering fixed costs affect channel profits. Under running royalties (regardless of whether based on predicted or actual output), the downstream firms’ perceived marginal costs are above the true marginal costs since fixed costs are incorporated. We find that tougher...

to determine the amount of food amino acid and to spend time in the laboratories are expensive & time-consuming due to a chemical analysis. in the current laboratories, digestion nirs method is widely used for this purpose. but this method has technical limitation. therefor is important find appropriate method for estimate amount of amino acids. artificial neural network (ann) can provide a bet...

In this paper, we consider noncoherent random linear coding networks (RLCNs) as a discrete memoryless channel (DMC) whose input and output alphabets consist of subspaces. This contrasts with previous channel models in the literature which assume matrices as the channel input and output. No particular assumptions are made on the network topology or the transfer matrix, except that the latter may...

Vertical composition of security protocols means that an ap-plication protocol (e.g., a banking service) runs over a chan-nel established by another protocol (e.g., a secure channel provided by TLS). This naturally gives rise to a compositionality question: given a secure protocol P1 that providesa certain kind of channel as a goal and another secure proto-col P2 that assumes th...

We employ the Gaussian Poincaré inequality for two tasks in the Shannon theory. First, we show that the Gaussian broadcast channel admits a strong converse. Second, we demonstrate that the empirical output distribution of a delay-limited code for the AWGN channel with quasi-static fading and with non-vanishing probability of error converges to the maximum mutual information output distribution ...

We develop a deterministic ab-initio model for the input-output relationship of a multipleinput multiple-output (MIMO) wireless channel, starting from the Maxwell equations combined with Ohm’s Law. The main technical tools are scattering and geometric perturbation theories. The derived relationship can lead us to a deep understanding of how the propagation conditions and the coupling effects be...