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This paper deals with the design of new cruise control systems that can help in safe maneuver in traffic condition. It consists of two Raspberry Pi's, one act as slave and other controller as a master. Slave consists of different sensor network like accelerometer, ultrasonic sensor and humidity sensor. It consist RPM meter to gauge the recurrence of revolution of vehicle's wheel and GPS module to...
Compressed sensing is a novel technique of under sampling sparse or compressible signals using random linear non adaptive measurements. Under the sparsity constraints it allows for reconstruction of the data with small or zero error using minimum l1 norm reconstruction methods. Since most of the real world data are either sparse or compressible in some suitable basis, the proposed method has immediately...
Fourier transform algorithm has encompassed diverse fields of engineering including specialized fields like radars, communications and image processing systems. Therefore there have been continual efforts to improve the efficiency of FFT implementation in real time systems and other hardware. To reduce design time and time to market, FPGA vendors have developed IP cores which can be readily used in...
Sliding DFT analysis is done to calculate the spectrum of the input signal on sample by sample basis. It is very effective technique available to identify the random and abrupt faults in the input data. Spikes constrained in time domain data are spread out in frequency domain corrupting the frequency data and in some cases masking the weak signal in adjacent frequency bins. Using sliding DFT we can...
Age estimation is one of the main parameters in the evaluation of skeletal remains in forensic anthropology casework. The present investigation is an attempt to study the fusion of manubrium and xiphoid process with mesosternum in 118 sterna (67 males and 51 females) of known age obtained during autopsy in South Indian population. The male samples were aged between 25 and 74 years and the females...
Least Mean Square (LMS) algorithm is undoubtedly the most resorted to algorithm in diverse fields of engineering. Due to its simplicity it has been applied to solve numerous problems including side lobe reduction in matched filters, adaptive equalization, system identification, adaptive noise cancellation etc. In this paper we present a simple architecture for the implementation of a variant of Block...
Advent of Matrix Theory has greatly aided and simplified the analysis for variety of signal processing algorithms. It has been proven that matrix notation is convenient for representation of signals and to perform operations on them. Many problems such as signal modeling, Wiener filtering and spectrum estimation require finding the solution or solutions to a set of linear equations. Some of the common...
Signal processor forms the heart of the radar subsystems and is responsible for the discernment of targets from interfering clutter and improving the SNR of the received signal for better detection of targets. Doppler filter bank is one of the modules used in signal processor to extract the Doppler information from the target, to improve the SNR and it also provides information regarding target velocity...
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