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Several pitch estimation algorithms both in time domain as well as frequency domain have been proposed by researchers in last few decades. Among them, Square Difference Function (SDF) is one of the popular time-domain pitch detection algorithms. A modified SDF known as YIN is known to give better results. Each pitch detection algorithm has its limitations and error in pitch detection is observed across...
Automatic Music Information Retrieval has been one of the challenging topics of research for a few decades now, with several interesting approaches reported in the literature. In this paper we have developed a pitch extraction method based on a finite Fourier series approximation to the given window of samples of a music signal. We then estimate pitch as the fundamental period of the finite Fourier...
Current day computers are increasingly getting limited in hardware due to deep sub-micron effects which may prevent finer gate widths. Parallel computing methods with a large number of cores can only give a linear speed up. Quantum computing is an attempt to unite Quantum mechanics and information science together to achieve next generation computation. Quantum computers have simultaneity and parallelism...
A stochastic adaptive algorithm is proposed for simultaneous channel equalization and reference tap placement. It is shown that the algorithm is gradient following in an expected sense. It is further shown that the long-term behaviour of the algorithm can be approximated by an associated differential equation. The stability of the equlibrium points of the differential equation are analyzed to yield...
One of the main challenges in Machine Type Communication (MTC) services in the 3GPP LTE networks is to improve device power efficiency for Machine to Machine (M2M) communication. We consider MTC application scenarios which consist of a number of devices connecting to the network concurrently. The methods considered in TR 37.868 involve Disjoint Allocation (DA) and Joint Allocation (JA). The DA scheme...
We consider the problem of detecting objects in two dimensional images and propose a new technique which uses Support Vector Machine (SVM) along with Maximum Margin Correlation Filter (MMCF). We have shown that our algorithm detects objects well and is robust with respect to scale changes. Introduction of Support Vector Machine (SVM) helps Maximum Margin Correlation Filter (MMCF) to deal with non-linearly...
In this paper we consider multi-access communication problem to allocate the channel efficiently among different nodes which wants to use it for communication. The problem is interesting for the access point does not know the number of packets to be transmitted per user node and nodes also don't know packet distribution at other nodes. There are many interesting approaches to this problem [1]. Broadly,...
Next century demand for a low cost, high efficiency wireless technology is expected to be the commercial implementation of Software Defined Radio (SDR) paradigm. This is expected to improve base station efficiency and robust universal receivers to provide seamless high quality service to the end user. One of the many problems which need to be solved effectively to make SDR infrastructure more efficient...
In this paper, we present two new schemes for finding human faces in a photograph. The first scheme adopts a distribution-based model approach to face-finding. Distributions of the face and the face-like manifolds are approximated using higher order statistics (HOS) by deriving a series expansion of the density function in terms of the multivariate Gaussian and the Hermite polynomials in an attempt...
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