The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
CORDIC or CO-ordinate Rotation Digital Computer is a fast, simple, coherent and powerful algorithm which is used for diversified Digital Signal Processing applications. In pursuance of speed and accuracy requirements of todays applications, we put forward variable iterations CORDIC algorithm. In this algorithm, to boost speed we can lessen number of iterations in CORDIC algorithm for specific accuracy...
A new signal processing algorithm is developed for quantifying heel strike (HS) and toe-off (TO) event times solely from measured heel and toe coordinates during overground walking. It is based on a rough estimation of relevant local 3D position signals. An original piecewise linear fitting method is applied to these local signals to accurately identify HS and TO times without the need of using arbitrary...
In this study, we evaluate the classification accuracy of inverse synthetic aperture radar (ISAR) images reconstructed using the conventional Fourier transform (FT) and sparse recovery algorithms based on compressive sensing (CS) from incomplete radar cross section (RCS) data. When data are missing from the received RCS dataset, we cannot obtain correct ISAR images using the FT-based method. To alleviate...
This paper describes utilization of surface electromyography (sEMG) identification for driving robotic hand. Therefore, this implementation will give other alternatives to the stroke survivors or paralysis patients in order to help their activities. This system detecs the movement of two fingers (thumb and index finger) by using threshold as pattern recognition algorithm. This pattern recognition...
This paper presents a Belief Propagation (BP) stereo matching algorithm based on ground control points (GCP) and spatiotemporal consistency. In the context the BP algorithm based on spatiotemporal consistency has large amount of calculation with low matching accuracy, the proposed algorithm adds GCP into the spatiotemporal consistency BP algorithm model to propagate the disparities of GCP. This algorithm...
We focus on the problem of compressive sampling of Linear Frequency Modulation(LFM) signal via Matching Pursuit. We designed an adaptive matching pursuit algorithm through dynamic dictionary optimization. Results from the sparse property of LFM under Chirplet Basis, we use Chirplet atom to generate dictionary. Then by feeding the information of signal back into dictionary generating process, the grid...
The existing compressed sensing image reconstruction algorithms cannot combine reconstruction effect with reconstruction speed at the same time. A new image reconstruction algorithm is proposed for compressed sensing. The new algorithm retains the advantages of block-sampling compressed sensing by the image blocks segmentation. The subblocks of the image edges are extracted and then the edges structure...
For energy-based multi-source localization in wireless sensor networks (WSNs), multi-resolution search and expectation maximization algorithms are of either high energy consumption or low localization accuracy. In this paper, we propose a multi-source localization algorithm via sparse reconstruction based on fully distributed structure (MLSR-FD) in WSNs. The fully distributed structure is used to...
In the context of stereo matching remaining a classical problem in computer vision, this paper presents a novel stereo matching algorithm based on ground control points using graph cut (GC). The proposed algorithm incorporates local and global stereo methods, initializes the disparity map with a local stereo approach in the first place on purpose of selecting GCPs (Ground Control Points), and applies...
Least Square (LS) estimation is a simple but not good enough for localization method which is widely used for target position estimation. The time difference of arrival (TDOA) location based on LS method needs to select a reference sensor to obtain a series of equations. Thus, the measured error of the selected first sensor will certainly influence the location accuracy. In our article, an algorithm...
This paper investigates the design criteria for an ultrasound positioning system used in smart tool applications. A novel range-finding system based upon low cost, ease of implementation, and an automatic gain controller (AGC) is developed. We also design several signal processing algorithms for this system, including an amplitude threshold method (ATM), a frequency threshold method (FTM), and a cross...
This paper presents a nearest neighbor selection algorithm for real-time WiFi fingerprinting positioning with the assist of inertial measurement unit (IMU) measurements. The WiFi fingerprinting positioning using received signal strength (RSS) measurements suffers from the RSS variation problem. Due to this problem, reference points that are irrelevant to the user's position are selected, and the positioning...
This paper proposes an application of Wireless Sensor Network (WSN) for indoor localization using IEEE 802.15.4 standard. Proposed algorithm applies K-means clustering and Genetic Algorithm (GA) as engine to prepare offline information which result in increasing accuracy and decreasing computational cost of fingerprint technique for indoor localization. K-means clustering will be applied to cluster...
Sparse signal reconstruction is one core technology of Radar compressive sensing. Algorithms based on Sparse Bayesian Learning are the focus of study in recent years, because of their good reconstruction preferment. Signal reconstruction algorithm base Block Sparse Bayesian Learning (BSBL) frame is excellent for reconstructing signals of block sparse structure. It exploits not only the block sparse...
A new time-delay estimation method based upon Cubic spline interpolation and Area bary center algorithm that is well suitable for determining the time-delay between two noisy band-limited signals is introduced. Unlike conventional correlation algorithm, the new approach has the ability to optimally estimate any non-integral sample delay only using Cubic spline interpolation and Area bary center algorithm...
In this paper, we propose a low-cost dual-tone radio interferometric positioning system using a single mobile anchor, named mDRIPS. There is no synchronization requirement between the mobile anchor and the target. In mDRIPS, the static target continuously transmits a dual-tone signal, and the mobile anchor receives the signal at different positions along its trajectory. The instability of the target...
In order to speed up the convergence of GrabCut algorithm and enhance the accuracy of segmentation, this paper puts forward an algorithm of GrabCut color image segmentation based on region of interest (ROI). The user selects a ROI by dragging a rectangle. The GrabCut algorithm is used in ROI only. The object is then extracted automatically. The experimental results demonstrate that the new algorithm...
The damage identification problem is one of crucial problems during operation of machines' elements made of polymeric composites. Therefore the appropriate non-destructive techniques should be developed in order to detect and identify the damages with the best possible accuracy. Moreover, such methods should be applicable in various testing conditions. One of the intensively developed directions in...
Tremendous advancements in video capturing and display technologies and increased video applications in all arenas of life have raised the demand for enhancement in the field of video compression. Motion Estimation (ME) a key component in most of the video data processing based applications, has led to an ongoing research in this field. Lots of algorithms to estimate block based motion and criteria's...
In this paper, we propose a novel range-free localization algorithm tailored for anisotropic wireless sensors networks (WSN)s. Using the proposed algorithm, each regular or positionunaware node estimates its distances only to reliable anchors or position-aware nodes. The latter are properly chosen following a new reliable anchor selection strategy that ensures an accurate distance estimation making...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.