We develop a theory of network behavior under high load conditions and rapidly changing traffic demand matrices, using techniques from spectral graph theory and the physics of dynamical systems. We focus on the mean end-to-end delay as the performance metric and show that at high loads, there is a “characteristic timescale” of the network that determines the mean end-to-end delay. We show how t...

In cochlear implants (CIs), different talkers often produce different levels of speech understanding because of the spectrally distorted speech patterns provided by the implant device. A spectral normalization approach was used to transform the spectral characteristics of one talker to those of another talker. In Experiment 1, speech recognition with two talkers was measured in CI users, with a...

Trade-off studies on spectral coverage, signal-to-noise ratio (SNR), and spectral resolution for a hyperspectral infrared (IR) sounder on a geostationary satellite are summarized. The data density method is applied for the vertical resolution analysis, and the rms error between true and retrieved profiles is used to represent the retrieval accuracy. The effects of spectral coverage, SNR, and sp...

High spatial resolution images have been increasingly used for urban land use/cover classification, but the high spectral variation within the same land cover, the spectral confusion among different land covers, and the shadow problem often lead to poor classification performance based on the traditional per-pixel spectral-based classification methods. This paper explores approaches to improve ...

The rapid progress of semiconductor technologies enables the integration of huge amount of transistors on the same chip but creates new problems for digital and analog designers. The very high speed of operation allows millimeterwave CMOS circuits but various limits challenge the analog designer that must find new solutions. Key limits are the intrinsic gain of MOS transistors, the gate leakage...

Enhancement of speech signal degraded by several types of noise is a topic of interest for last many years. The main aim of speech enhancement algorithm is to improve the quality and/or intelligibility of the noisy speech signals by using various techniques and algorithms. Among the all available methods, the spectral subtraction algorithm is the historically one of the first algorithm proposed...

Multiple-input multiple-output (MIMO) systems require simplified architectures that can maximize design parameters without sacrificing system performance. Such architectures may be used in a transmitter or a receiver. The most recent example with possible low cost architecture in the transmitter is spatial modulation (SM). In this study, we evaluate the SM and quasi-orthogonal space time block ...

As low power circuits are most popular now a days as the scaling increase the leakage power in the circuit also increases rapidly, so for removing these kind of leakages and to provide a better power efficiency, we are using different types of power gating techniques. In this paper we are going to analyse the different types of circuits with different types of power gated circuits using low pow...

The computing power in modern digital imaging devices allows complex denoising algorithms. The negative influence of denoising on the reproduction of low contrast, fine details is also known as texture loss. Using the dead leaves structure is a common technique to describe the texture loss which is currently discussed as a standard method in workgroups of ISO and CPIQ. We present our experience...

Automatically detecting the singer by analyzing audio is a challenging task which gains in complexity for polyphonic material. Related approaches in the context of Western commercial music use machine learning models which mainly rely on low-level timbre descriptors. Such systems are prone to misclassifications when spectral distortions are present, since the timbre of the singer cannot be accu...