This paper presents a hybrid active noise canceling (HANC) algorithm to overcome the acoustic feedback present in most ANC system, together with an efficient secondary path estimation scheme. The HANC system provides a solution of two fundamental problems present in these kind of ANC systems: The first consists in a reduction of the acoustic feedback from the cancellation loudspeaker to the inp...

Quagga is a software routing suite which provides implementations of various routing protocols for UNIX based platforms. It supports implementations of RIP, OSPF and BGP version 4. Path-exploration damping is one possible approach to filter out the path hunting phenomenon in BGP, in which a single prefix withdrawal event at the original announcement’s origin may generate a large volume of subse...

Background: Peritoneal dialysis (PD) is an efficient alternative for hemodialysis. Removal of waste metabolites and excess water from the blood circulation are the two main tasks done during dialysis. These are done by using a filter; in PD, the naturally semi-permeable peritoneal membrane acts as the filter. Automated PD machines control intelligently the operations to enhance the efficiency a...

This paper presents an acoustic noise cancelling technique using an inverse kepstrum system as an innovations-based whitening application for an adaptive finite impulse response (FIR) filter in beamforming structure. The inverse kepstrum method uses an innovations-whitened form from one acoustic path transfer function between a reference microphone sensor and a noise source so that the rear-end...

Simultaneous Localization and Mapping (SLAM) is the problem in which a sensor-enabled mobile robot incrementally builds a map for an unknown environment, while localizing itself within this map. Efficient and accurate SLAM is fundamental for any mobile robot to perform robust navigation. It is also the cornerstone for higher-level tasks such as path planning and exploration. In this talk, I wil...

In this paper, a new algorithm with multi constraints that can be used in active noise control is presented. This can be used to maintain the particular system power budget and prevent over driving. The filter used for the constraints is frequency domain of least mean square algorithm. A limiting factor is used in the algorithm to reduce the effect of the filter response at other frequencies. T...

This paper aims the development of autonomous obstacle avoidance algorithm for automated guided vehicle with a Kinect sensor. To do this task, the followings are executed. Firstly, depth data is obtained from the Kinect sensor, and the mean filter approach is developed to filter out noises. Secondly, Otsu and U-V parallax based method is designed to identify background and obstacles. Finally, A...

Most Active Noise Control (ANC) systems use some form of the LMS [5][7] algorithm due to its reduced computational complexity. However, the problems associated with it are well-known, namely slow convergence and high sensitivity to the eigenvalue spread [3][7]. To overcome this problems the RLS algorithm is often used, but it is now widely known, that the RLS loses many of its good properties f...

This paper reports on results from the algorithmic design and simulation of a two-path polyphase decimation filter with 24-bit accuracy over the frequency range from dc to 15.2 kHz. The filter is suited for very high precision data conversion and measurement applications. The device reported in this paper has been designed for use with a fourth-order, singleloop, XA modulator running at 4096 kH...

We consider a class of robust, rank-based signal processing filters, particularly with regard to its usefulness in the power electronics field. This class of nonlinear filters is characterized by the inclusion of a sorting element in the signal path. The sorting operation allows these filters to suppress impulsive noise while preserving edges and monotonic sections of signals. This introductory...