Cancellation is a process by which an interfering source (“jammer”) is removed from a mixture of sounds on the basis of its structure. This is part of the task of “scene analysis” that confronts natural organisms and artificial devices. Jammer cancellation is distinct from, and complementary to, target enhancement. Time-domain cancellation filters are distinct from, and complementary to, time-f...

We propose a novel principle of velocity mass analysis of a micro-particle using magnetophoretic force. The new method can determine the mass of a particle from its magnetophoretic velocity change in a high magnetic field gradient in a low viscous medium such as air. In the present study, the new principle was demonstrated by the magnetophoretic acceleration of an aqueous manganese(II) chloride...

This paper investigates the mathematical nature of qualitative uncertainty principle (QUP), which plays an important role in mathematics, physics and engineering fields. Consider a 3-tuple (K, H1, H2) that K: H1→H2 is an integral operator. Suppose a signal f H1, Ω1 and Ω2 are domains on which f, Kf define respectively. Does this signal f vanish if |Σ(f)|<|Ω1|and|Σ(Kf)|<|Ω2|? The excesses and d...

Cancellation is a process by which an interfering source (the “jammer”) is removed from a mixture of sounds on the basis of its structure. This is part of the task of “scene analysis” that confronts natural organisms and artificial devices. Jammer cancellation is distinct from, and complementary to, target enhancement. Time-domain cancellation filters are distinct from, and complementary to, ti...

This review article describes the principle and clinical applications of spectral analysis. Spectral analysis provides a spectrum of the kinetic components which are involved in the regional uptake and partitioning of tracer from the blood to the tissue. This technique allows the tissue impulse response function to be derived with minimal modeling assumptions. Spectral analysis makes no a prior...

In this paper, a review on the latest methodologies and application of the Principle Component Analysis (PCA) has been done in the area of image processing. Exploring basic theory of multivariate analysis, which involves a mathematical procedure to transform a number of correlated variables into a number of uncorrelated variables have been studied, compared and analyzed for better performance. ...

In this paper, a new fault identification procedure based on Kernel Principal Component Analysis (KPCA) is proposed. In contrast to the linear PCA, a key disadvantage of the KPCA is that it cannot be used directly for fault identification, e.g. using contribution plots. Therefore, a fault identification strategy based on the power series approximation of the kernel functions is proposed. To dem...