On typical echo paths, the proportionate normalized least-mean-squares (PNLMS) adaptation algorithm converges significantly faster than the normalized least-mean-squares (NLMS) algorithm generally used in echo cancelers to date. In PNLMS adaptation, the adaptation gain at each tap position varies from position to position and is roughly proportional at each tap position to the absolute value of...

Themultidelay block frequency-domain (MDF) adaptive filter is an excellent candidate for both acoustic and network echo cancellation. There is a need for a very good double-talk detector (DTD) to be combined efficiently with the MDF algorithm. Recently, a DTD based on a normalized cross-correlation vector was proposed and it was shown that this DTD performsmuch better than the Geigel algorithm ...

Particle swarm optimization (PSO) algorithm can be viewed as a series of iterative matrix computation and its population diversity can be considered as an observation of the distribution of matrix elements. In this paper, PSO algorithm is first represented in the matrix format, then the PSO normalized population diversities are defined and discussed based on matrix analysis. Based on the analys...

In this paper, we considered a planar perspective transformation between images with overlapping region. It is based on the rectangle-to-quadrilateral mapping and normalized correlations. Initially, the global translation is determined by using a block matching. And to find the correspondence points maximizing correlation in overlapping region by the perspective transformation, we used simulate...

In this paper we analyze adaptive algorithms for a multiple-antenna Code Division Multiple Access (CDMA) mobile receiver. We study the constrained versions of the Binormalized DataReusing LMS (BNDR-LMS) and the Normalized LMS (NLMS). Their performance is compared with that of the classical Frost algorithm. Time-varying stepsequences are used to further enhance the performance of the receiver. T...

For time series comparisons, it has often been observed that z-score normalized Euclidean distances far outperform the unnormalized variant. In this paper we show that a z-score normalized, squared Euclidean Distance is, in fact, equal to a distance based on Pearson Correlation. This has profound impact on many distance-based classification or clustering methods. In addition to this theoretical...

it to currently accepted delay estimators implementing a variety of sub-sample interpolation methods. Simulation results show that this algorithm significantly outperforms other algorithms in terms of jitter and bias over a broad range of conditions. For a 5 MHz, 50% bandwidth signal sampled at 40 MHz with a sub-sample delay of 0.3 samples, the bias of the proposed method is over 300 times smal...

This paper proposes an algorithm to detect unnecessary image pairs for efficient structure from motion. Since image pair with small baseline is considered as a poor condition for reconstruction, we focus on computing cameras closely located. We address a term, “remoteness” which indicates the distance between two images in this paper. The remoteness is not affected by image’s intrinsic paramete...

Mouth center detection is important for speech and speaker recognition based on lip movements. In this paper we present an algorithm for mouth center detection under active near infrared illumination. Face images captured in the near infrared spectrum are normalized with respect to size and in-plane rotation of the eyes. A coarse image region containing the mouth can be determined in the normal...

This paper presents a high-quality real-time pitch-shifting algorithm with a time-varying factor for monophonic audio and musical signals. The pitch-shifting algorithm is based on the resampling and time-scale modification method. A new time-scale modification method has been developed which is called the Normalized Filtered Correlation Time-Scale Modification (NFC-TSM) method. It uses a ring b...