We study fluctuations of the matrix coefficients for the quantized cat map. We consider the sum of matrix coefficients corresponding to eigenstates whose eigenphases lie in a randomly chosen window, assuming that the length of the window shrinks with Planck’s constant. We show that if the length of the window is smaller than the square root of Planck’s constant, but larger than the separation b...

This paper presents an extension to the dual-window-length Real-Time Iterative Spectrogram Inversion phase estimation algorithm (RTISI). Instead of a transient detection in advance, the phase estimator itself determines the correct window length when the phase information for all window lengths have already been estimated. This way, we get significant improvements compared with the previous met...

In order to solve the problem that the accuracy of sensor data is reducing due to zero offset and the stability is decreasing in wireless sensor networks, a novel algorithm is proposed based on consistency test and sliding-windowed variance weighted. The internal noise is considered to be the main factor of the problem in this paper. And we can use consistency test method to diagnose whether th...

BACKGROUND Unintentional falls from windows are an important cause of paediatric morbidity. There have been no controlled studies to identify modifiable environmental risk factors for window falls in young children. The authors have piloted a case-control study to test procedures for case identification, subject enrolment, and environmental data collection. METHODS Case windows were identifie...

Constrained coding is used widely in digital communication and storage systems. In this paper, we study a generalized sliding window constraint called the skip-sliding window. A skip-sliding window (SSW) code is defined in terms of the length L of a sliding window, skip length J , and cost constraint E in each sliding window. Each valid codeword of length L+kJ is determined by k+1 windows of le...

Singular spectrum analysis (SSA) is a nonparametric and adaptive spectral decomposition of a time series. The singular value decomposition of the trajectory matrix and the anti-diagonal averaging leads to a time-series decomposition. In this algorithm, a single free parameter, window length K, is involved which is the FIR filter length for the time series. There are no generally accepted criter...

Instead of conformation states of single residues, refined conformation states of quintuplets are proposed to reflect conformation correlation. Simple hidden Markov models combined with sliding window scores are used to predict the secondary structure of a protein from its amino acid sequence. Since the length of protein conformation segments varies within a narrow range, we can ignore the dura...