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The performance of various estimators, such as minimum mean square error (MMSE) is strongly dependent on correctness of the proposed model for original data distribution. Therefore, the selection of a proper model for distribution of wavelet coefficients is important in wavelet based image denoising. This paper presents a new image denoising algorithm based on the modeling of wavelet coefficients...
In this paper, we evaluated of ultra wideband impulse radio transmission gain and group delay by using the Friis' transmission formula. However, this formula is not directly applicable to ultra wideband impulse radio transmission systems. This paper presents the free space link evaluation formula in the term of transmission gain for the ultra wideband impulse radio systems that takes into account...
Traditionally, the concept of super resolution reconstruction (SRR) relates to a process whereby images are obtained with resolutions that are beyond the limiting factors of the uncompensated imaging system. Many such SRR algorithms have been proposed during this decade but almost SRR estimations are based on L1 or L2 statistical norm estimation therefore these SRR algorithms are usually very sensitive...
This paper concerns active noise control (ANC) of impulsive noise modeled using Gaussian stable processes. The most famous filtered-x least mean square (FxLMS) algorithm for ANC systems is based on minimization of variance of mean squared error signal. For the impulse noise, the FxLMS algorithm becomes unstable, as second order moments do not exist for Gaussian stable processes. Among the existing...
This paper proposes Adaptive Step-Size Least Mean Modulus (ASS-LMM) algorithm for fast convergent and robust adaptive filtering in the presence of impulse noise. The ASS-LMM algorithm for use in adaptive filters defined in the complex-number domain is basically the LMM algorithm combined with a new adaptive step-size control algorithm to improve the convergence speed of the LMM algorithm while preserving...
In this paper, we propose a PAPR reduction method for a 16-QAM OFDM system by combining the BCM scheme with PTS technique, called BCM-PTS. We use four binary Reed-Muller codes as the BCM component codes to construct a 16-QAM BCM code and decompose this code as direct sum of a correction subcode for encoding information bits and a scrambling subcode for encoding PAPR bits. The PAPR bits are reserved...
One of the major drawbacks of orthogonal frequency division multiplexing (OFDM) is the high peak-to-average ratio (PAPR) of the transmitted signal. The PTS method divides the input data block into disjoint subblocks and recombines them by using weighting factors. The searching complexity of the original PTS method increases exponentially with the number of these subblocks and is extremely high for...
This paper presents a novel block motion estimation scheme with edge alignment strategy on H.264/AVC video coding, whose computational complexity is linearly dependent on the number of allowed reference frames and block sizes using the full exhaustive search. Many fast block-matching algorithms reduce the computational complexity of motion estimation by carefully designing the search patterns with...
This paper describes a current mode integrator and filter. The circuit can operate at high cutoff frequency and has low input impedance. The design of current mode integrator is based on a low input impedance current mirror with grounded capacitors. The integrator provides a building block for using in active filter circuits based on the doubly terminated LC ladder filter prototype. A 5th order low...
A new method of blind watermarking for video is proposed for retrieving watermarks from MPEG bit streams directly without decoding. This method is based on Sakazawa's method which also aims at retrieving from MPEG bit streams, but realizes embedding and retrieval without specifying the location of the DCT blocks to be embedded. This method does not care about the location of the embedded block. Moreover,...
With the advancement of micro-electro-mechanical systems (MEMS) technologies, wireless sensor networks have opened new vistas for a wide range of application domains. These sensor nodes usually comprise small, low-power devices that integrate sensors and actuators with limited on-board processing and wireless communication capabilities. One of the most important applications is target tracking and...
Image compression based on zerotree coding such as set-partitioning in hierarchical trees (SPIHT) yield very good performance. SPIHT uses bit-plane coding where the wavelet coefficients are scanned at every encoding pass. This requires a lot of memory space since the whole image has to be stored for the process of set-partitioning coding. In this paper, a low memory degree-k zerotree wavelet coding...
We have proposed the noise reduction system using signal and noise level detectors. An input spectrum and a noise spectrum are detected in real-time and then noise reduction is achieved by subtracting the detected noise spectrum from the input one. This system requires the noise subtraction coefficient in order to reduce the difference between the detected noise level and its true one. In the conventional...
The electroencephalogram (EEG) is suitable for continuous authentication since it enables unconscious presentation of biometric features. However, the conventional authentications methods using the EEG require heavy computational load: AR modeling and/or machine learning. In this paper, we propose simple spectral features of the EEG to make the authentication system using the EEG more practical. The...
In this paper, we propose single-channel speech separation by using a sparse decomposition method. First, the model for the periodic signals with time-varying amplitude is introduced to approximate speech signals. The sparse decomposition is proposed with this signal model and a sparsity measure. The sparsity measure is defined as a sum of the l2 norms of the resultant periodic subsignals to find...
This paper proposes a new tracking method based on phase only correlation (POC) for oncoming cars. The POC function can measure exactly displacement between the corresponding points in images. The proposed method applies the POC to detecting and tracking the oncoming cars from moving pictures taken by an in-vehicle camera. To improve the detection and tracking accuracy, a motion vector based initial...
This paper introduces a novel means of neuron coding allowing us to recognize the face of an unknown individual. The algorithm involves the application of segmentation and Discrete Cosine Transform (DCT) and is used to perform the facial recognition after training and classification from a neural network. The algorithm determines features' position and pixel value using image segmentation and DCT...
The wireless propagation channel in an indoor and outdoor is very complicated and difficult to predict. In this paper, we consider the experiment of transmission loss with indoor to outdoor environment in ultra wideband impulse radio (UWB-IR) system based on Friis transmission formula. This formula is not directly applicable and the wavefrom distortion may degrade the transmission performance as well...
This paper presents a new blind adaptive receiver for the multiple-input multiple-output (MIMO) antennas system, with space-time block code (ST-BC). First, we extend the signal model of the frequency flat channel to the multipath fading channel for the MIMO-CDMA system with ST-BC. The new proposed scheme is based on the linearly constrained constant modulus (LCCM) criterion. To reduce the complexity...
Currently, most multihomed-to-multiple providers need to control the flow of interdomain traffic for both performance and economical reasons. This is usually done by manual configuration of the Border Gateway Protocol (BGP) on routers to control interdomain traffic. In this paper, we approach the solution to the traffic engineering problem with BGP-based traffic engineering techniques and reservation...
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