This paper develops fundamental limits of deep neural network learning by characterizing what is possible if no constraints are imposed on the algorithm and amount training data. Concretely, we consider Kolmogorov-optimal approximation through networks with guiding theme being a relation between complexity function (class) to be approximated approximating in terms connectivity memory requiremen...

Biodiversity assessment is a central and urgent task, necessary to monitoring the changes to ecological systems and understanding the factors which drive these changes. Technological advances are providing new approaches to monitoring, which are particularly useful in remote regions. Situated within the framework of the emerging field of ecoacoustics, there is growing interest in the possibilit...

This paper presents a novel approach for the generation of periodic waveforms in digital form using Field Programmable Gate Array (FPGA) and orthogonal functions. The orthogonal function consists of a set of Rademacher–Walsh Functions, and utilizing these functions, virtually any periodic waveform can be synthesized. Recent technological advancements in FPGA and availability of sophisticated di...

Approximate, non-singular kernels are often used in moment-method formulations coping with thin-wire structures. Their use has important consequences, one of which is the appearance of oscillations in the computed currents when the number of sub-domain basis functions is sufficiently large. These oscillations are not due to round-off errors. In this paper, a smoothing procedure is used in conju...

This paper presents a method for improving synthesis efficiency in sinusoidal models. In the case of synthesizing polyphonic music, many overtones can be pruned, using perceptual and trigonometric methods. The main contribution of this work is a pre-processing algorithm giving a significant reduction of the number of sinusoids to synthesize (from several thousands to around one hundred), consis...

This review provides a detailed overview of the current state of knowledge about the ultrastructure and dynamics of liver sinusoidal endothelial fenestrae. Various aspects of liver sinusoidal endothelial fenestrae regarding their structure, origin, species specificity, dynamics and formation will be explored. In addition, the role of liver sinusoidal endothelial fenestrae in relation to lipopro...

This paper presents a joint speech and audio coding algorithm combining sinusoidal modeling and a perceptually adapted Wavelet Packet Transform (WPT). The input signal is limited to the band of 50-7000 Hz, and sampled at 16 kHz. The sinusoidal modeling uses a Sinusoidal Similarity Measure (SSM) to find stable sinusoidal components. A novel pitch harmonics based encoding is applied to encode the...

Sinusoidal signal can be used as stimulus to test static and dynamic parameters of ADC. A sigma-delta modulation based sinusoidal signal generator for ADC testing in SOC was introduced. The generator was built on the same chip with ADC. A numerical resonator generated a sinusoidal signal which was converted to a single bit stream by a sigma-delta modulator. Due to oversampling, the quantization...

Models of the dipper effect seen in contrast discrimination experiments predict that small amounts of noise should facilitate detection of a subthreshold sinusoidal grating. Although facilitation of chromatic sine waves has been measured with chromatic or luminance noise, a facilitory effect of luminance sinusoidal gratings has not been measured, most likely because the stimulus characteristics...

A method for evaluation of parasitic frequency modulation (wow) in archival audio is presented. The proposed approach utilizes sinusoidal components as their variations are highly correlated with the distortion variations. The sinusoidal components are extracted from audio signal by means of sinusoidal modeling procedures being often severely distorted and in case of wow also significantly modu...