‎in this paper, we discuss about existence of solution forintegro-differential system and then we solve it  by using the petrov-galerkin method. in the petrov-galerkin method choosing the trial and test space is important, so  we use alpert multi-wavelet as basisfunctions for these spaces. orthonormality is one of theproperties of alpert multi-wavelet which helps us to reducecomputations in the...

Orthogonal Frequency Division Multiplexing (OFDM) and Code Division Multiple Access (CDMA) are combined to benefit Multi-carrier (MC) Code Division Multiple Access (MC-CDMA) systems. High data rate wireless systems opt for these systems. A large amount of challenges still exist due to the random nature of wireless channels. In this paper, using the basic principles of MCCDMA technique, we emplo...

To propose a high performance LTE system. The performance of an LTE system is enhanced in two stages. The first stage is to reduce the high peak to average power ratio of the OFDM signal. The second stage is to improve the channel estimation. PAPR reduction is based on the selective mapping algorithm. The channel estimated via least square method by using wavelet-based de-noising method to redu...

this paper presents the application of radial basis neural networks to the development of a novel method for the condition monitoring and fault diagnosis of synchronous generators. in the proposed scheme, flux linkage analysis is used to reach a decision. probabilistic neural network (pnn) and discrete wavelet transform (dwt) are used in design of fault diagnosis system. pnn as main part of thi...

Background and Aim: Maintaining the primary torque of the abutment screw is a common problem related to implant-supported restorations; a failure in this respect often leads to screw loosening. The abutment screw plays a critical role in the long-term stability of restorations. This study aimed to assess the effect of two abutment connection types with and without cyclic loading on removal torq...

This paper presents a new multi-sensor data fusion method based on the combination of wavelet transform (WT) and extended Kalman filter (EKF). Input data are first filtered by a wavelet transform via Daubechies wavelet “db4” functions and the filtered data are then fused based on variance weights in terms of minimum mean square error. The fused data are finally treated by extended Kalman filter...

The primary goal of this paper is to give examples of the recently developed (finite-field) wavelet coding method by studying the encoder and decoder for some half-rate codes. We propose a decoding methodology based on estimating the polyphase components of the channel error pattern. To demonstrate the striking computational savings of the wavelet coding method over alternatives, we show that b...