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Recent attention in studies of clustering is focused upon generation of clusters on the basis of graph structures. Nodes and edges with weights are given and clusters with dense groups of nodes should be found. Several algorithms have been proposed for this purpose, among which the method of spectral clustering and DBSCAN have frequently been used. The former uses eigenvalue analysis while the latter...
A fuzzy controller to support older adults should be robust and respond effectively to real-life situations such as illumination changes, ambient noise, and decision-making in critical situations. Following this approach, this paper presents the general design of “SA3M”, an autonomous support system for older adults that implements facial recognition, voice response and the use of various sensors...
This paper deals with the intelligent Android application system for smart cane, which helps the visually impaired person to detect an obstacle in their environment and to guide them towards their destination. In addition, it can increase a convenience to the utilization that networks with smart phone. The designed smart cane supports an application to pair it to smart phone. . It uses an ultrasonic...
An algorithm for multichannel speech dereverberation is proposed that simultaneously estimates the clean signal, the linear prediction (LP) parameters of speech, and the acoustic parameters of the room. The received signals are processed in short segments to reduce the algorithm latency, and several expectation-maximization (EM) iterations are carried out on each segment to improve the signal estimation...
Overlapping speaker localization approaches generally require a binary detector which performs the source/noise classification of the location estimates. This is mainly due to the unknown time-varying number of sources, and to the presence of noise and reverberation. In this paper, we firstly introduce an online implementation of a previously developed offline multiple speaker detector. This classifier...
It is well known that blind system identification (BSI) algorithms misconverge in the presence of noise and that applications relying on such channel estimates must be designed to be robust to these blind system identification errors (BSIEs). However, there is currently no generalized model of BSIEs in the literature and instead, white Gaussian noise (WGN) is commonly assumed. This paper investigates...
Blind identification and equalization of single-input/multiple-output (SIMO) systems already received a great deal of sustainable interest. This paper directs the attention towards the characteristics of common channel zeros and in particular the common phantom zeros of blindly estimated channels. The understanding facilitates the major contribution of the paper which is a method for the separation...
Signals captured by microphone arrays provide spatial diversity that can be exploited by multichannel processing algorithms to suppress noise and reverberation. Beamforming is a class of approaches that treats the problem with respect to the spatial location of wanted and competing sources, leveraging properties of propagation of waves in free space. A related class of algorithms is channel equalization...
The problem of blind estimation of the room acoustic clarity index C50 from single-channel reverberant speech signals is presented in this paper. We analyze the performance of several machine learning methods for a regression task using 309 features derived from the speech signal and modeled with a Deep Belief Network (DBN), Classification And Regression Tree (CART) and Linear Regression (LR). These...
Compared with super-heterodyne architecture, one of the advantages of the low-IF receiver is that the image rejection is realized by I/Q signal processing instead of a fixed analog filter, making it highly integration, flexibility and cost-efficient. However, unavoidable imbalances between the I-branch and Q-branch lead to insufficient image attenuation which must be enhanced by using additional analog...
ITU-T P.800 Absolute Category Rating (ACR) listening tests are an important tool for evaluating the audio quality of codecs for telephony. However, listener responses in these tests do not only depend on the audio quality of the items heard but also on the preceding items and the given ratings given to them. Here we investigate how strong these effects are in typical ACR listening tests and to what...
The benefits of employing 2-Dimensional (2D) Wave-length/Time (W/T) Hybrid code to mitigate the optical noise in spectral amplitude coding OCDMA networks system is in-vestigated. This analysis allows us to identify the influences of optical noise such as PIIN noise, shot noise and thermal noise in the system performance by using 2D Hybrid FCC-MDW code. The mathematical calculation reveals this new...
Memristor memories provide non-volatile and high density solutions that can overcome some of the challenges faced by CMOS technology. Memristor memories use the memristor as a resistor and depict a logic 1 by a high resistance state and a logic 0 by a low resistance state. Typically, the memristor's resistance range is divided in half, and a state falling in the lower half depicts a logic 0 and the...
The continuous demand for high storage capacities in modern electronic systems has made it more than ever important to find memory technologies beyond CMOS that are able to cope with the challenges at the nanoscale while catering to the requirements of high performance and robust operation. Memristors are excellent candidates for post CMOS memories, owing to their nanoscale nature and their programmability...
This paper illustrates a model on how to use the various energies that get wasted from an automobile. This includes the following energies: Solar, Wind, Noise. This conversion of various forms of energy helps to meet the immediate needs while travelling in an automobile such as charging a laptop, charging mobile phones.
License plate recognition (LPR) plays a major role in this busy world, as the number of vehicles increases day by day, theft of vehicles, breaking traffic rules, entering restricted area are also increases linearly, so to block this act license plate recognition system is designed. License Plate Recognition systems basically consist of 3 main processing steps such as: Detection of number plate, Segmentation...
This paper presents a comparison study of performances and characteristics of two types of state observer based state feedback control schemes, including Sliding Mode Observer (SMO) based Sliding Mode Controller (SMC) scheme and Luenberger observer (LO) based Sliding Mode Control scheme. The effectiveness of the schemes are simulated and implemented on Two Conical Tank Interacting Level System (TCTILS)...
Indian stone inscriptions play an important role in the reconstruction of the history of India. Kannada is considered the oldest language next to Sanskrit, Prakrit, and Tamil. According to linguists Tamil and Kannada branched off simultaneously from the Dravidian language of South India before the Christian Era. Indian epigraphy becomes more widespread over the 1st millennium, engraved on the faces...
From the very beginning of the concept of image processing, the researchers took the challenge of image enhancement process as an important focus since enhancing an image would result in improvement in the image quality. Image has to be enhanced prior to any mentioned processing. An optimal Enhancement technique should enhance both high quality and low quality images, and should highlight even small...
This paper presents the principles of classical power spectrum density (PSD) estimation and modern power spectrum density estimation, modifies them for estimating the PSD of repetitive impact noise (RIN) and discusses the performance of these modified methods.
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