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Smart grid systems include many different power sources such as renewable and fossil energy basis. While collecting all type of energy on the grid, phase order, frequency, maximum voltage value and synchronization time of each power station should be known for a smooth operation of the smart grid. Therefore, the detection of peak values of grid voltages will help the smart grid operators to connect...
The demand for radio spectrum is rapidly increasing for applications such as mobile telephony, digital video broadcasting (DVB), wireless local area networks (WiFi), and wireless sensor networks (ZigBee), and internet of things. Indeed, these resources are becoming increasingly scarce or even nonexistent. This scarcity has led to the concept of Cognitive Radio (CR) communication which has used to...
The accuracy of DOA estimation is affected by the wave velocity, which is always difficult to be obtained accurately. This paper proposes a velocity independent MUSIC (VI-MUSIC) algorithm by using the L-shaped array to eliminate the effect of using imprecise wave velocity. This simulation results show that that the proposed algorithm can achieve more accuracy than the existing DOA methods under the...
This paper presents a floating point arithmetic modules which are useful for many real time applications such as FFT processor where complex butterfly operations are performed, in which precision and accuracy play a pivotal role in bio-medical and signal processing applications. When compared to fixed point representation, floating point arithmetic provides high precision which helps in increasing...
We propose a recursive singular value decomposition (SVD)-based fuzzy extreme learning machine (RSVD-F-ELM) for the online learning in classification or regression analysis. By adopting the same architecture and operation as fuzzy extreme learning machine (F-ELM), which is originally designed for the batch learning, and replacing the Moore-Penrose generalized inverse in F-ELM with a recursive SVD-based...
Power hardware-in-the-loop modeling (PHIL) is one of advanced approach for test automation and verification of complex circuits and systems. This approach is most well used in power networks and power-trains. PHIL modeling is supposed part of a system is software model whether the other part is hardware item under test. A special interface algorithm supports interaction between computer model and...
In the paper, we will discuss the powerfull class of channel codes referred to as turbo codes. We commence with a brief discussion for MAP and log-MAP decoding algorithms. Then we work with proposed turbo decoding method, which is called as PL-log-MAP. Some numerical results and research experiments, such as simulation for bit error rate estimation and images transmission have been presented. It is...
Device localization is a highly important functionality for a range of applications. It is particularly beneficial in mmWave networks, where it can be used to reduce the beam training overhead and anticipate handovers between access points. In this paper, we present JADE, an algorithm that estimates the location of a mobile user in an indoor space without any knowledge about the surrounding environment...
The estimation of sparse vectors is an important problem in digital signal processing. Recently, efficient iterative algorithms based on the so-called linearized Bregman iterations have been proposed, combining excellent estimation performance with low implementation complexity. Unfortunately, these algorithms typically use large numerical values, complicating fixed point implementations. To overcome...
In this paper, we propose a method to improve localization algorithm of maximum likelihood estimation; the localization scheme relies on the distance threshold. In order to suppress effectively the effects of received signal strength error to node localization precision. This paper presents an indoor localization algorithm based on received signal strength to select anchor nodes. Compared with the...
In this work, we leverage the reflection property explored in our experimental results and propose an efficient and effective algorithm for the reconstruction of the layout. The proposed algorithm identifies the reflective path, which is caused by obstacle, and evaluated by the difference of Angle of Arrival (AoA) at each transceiver deployed at the room. Then with the knowledge of AoA corresponding...
The Prophet routing algorithm is a multi-copy algorithm which is based on historical information and transitive probability, which selects the relay node with a high probability to encounter the destination node. However, the selection of a relay node does not consider the current congestion level of node. Even if the current relay node has a high delivery probability to the destination node, it may...
In recent years the Fast Fourier Transform is widely used in a number of applications as it is considered to be an efficient algorithm to compute the Discrete Fourier Transform. The process of computing the FFT for large sequence real time data becomes complex and tedious. Hence it is necessary to design a system that can perform the FFT computation of large sequence data with reduced power consumption...
ProSparse is a Prony's based method that solves the sparse representation problem of signals in the union of Fourier and canonical bases. By exploiting the structure of the dictionary, ProSparse is able to reconstruct sparse signals beyond the recovery bound of Basis Pursuit. We generalize this framework for a broader class of dictionaries which are still formed from the union of two bases. The proposed...
By introducing the nonholonomic constraints, the nonholonomic natural gradient algorithm is effective to overcome the shortcomings of traditional natural gradient algorithm. Namely, when the source signal amplitude changes rapidly over time or is equal to zero in a certain period of time, it can still work well. In addition, selecting the different estimate function in different stage can get the...
Floating-point arithmetic plays major role in computer systems. Many of the digital signal processing applications use floating-point algorithms for execution of the floating-point computations and every operating system is answerable practically for floating-point special cases like underflow and overflow. The single precision floating point arithmetic operations are multiplication, division, addition...
Estimation of small tap-coefficients of large sparse system using μ-law based proportionate normalized least square (MPNLMS) algorithm yields slow converges, since the proportionality of these coefficients is ignored in the updated process. The individual activation factor-MPNLMS (IAF-MPNLMS) algorithm solves this problem by assigning new gain distribution factor while updating the tap-coefficients...
The Wiener filtering deconvolution algorithm applied to the correlation identification method which stability is poor and identification effect is undesirable that caused by the noise change of outside the band. The reasons of Wiener filtering deconvolution algorithm which adaptive of noise is unsatisfactory is analyzed by this undesirable consequence. The incremental wiener filter that used in correlation...
In this paper, we proposed a 32-bit improved adder combined with sparse tree by radix-2 and carry select. We designed its models-point operation, carry-out, 4-bit ripple-carry adder and 4-bit selector by reversible logic, and designed with smic0.18um process corresponding MOS circuit to achieve. The simulation results could verify that the algorithm and the design by reversible logic are right.
In this paper, we investigate the energy-efficient transmission problem by resource allocation in SCMA networks. We formulate it as an optimization problem to maximize the network energy efficiency (EE) subject to quality-of-service (QoS) requirements, codebook assignment, power allocation, and subcarrier reuse constraints. Due to its mixed combinatory, we separate codebook assignment and power allocation...
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