Kinematic edge detection using finite impulse response filters

Finite Impulse Response ( FIR ) Filters

On Kalman-Like Finite Impulse Response Filters

Lubin Chang, Member, IEEE Naval University of Engineering, Wuhan, China (e-mail:[email protected]) Abstract—This note reveals an explicit relationship between two representative finite impulse response (FIR) filters, i.e. the newly derived and popularized Kalman-Like unbiased FIR filter (UFIR) and the receding horizon Kalman FIR filter (RHKF). It is pointed out that the only difference of the ...

Sharpening Minimum-Phase Interpolated Finite Impulse Response Filters

This paper presents a novel simple method for the direct design of low-pass minimum-phase (MP) filters. The method is based on a linear-phase (LP) finite impulse response (FIR) prototype, sharpening and IFIR (interpolated finite impulse response) techniques, usually used for the design of LP filters. As a result, a more complex minimum phase filter can be designed by using less complex filters....

edge detection of potential field anomalies using local phase filters

potential fields are due to complex distribution of sources related to susceptibility and mass density variations for magnetic and gravity field respectively. in researching the lateral heterogeneous of different geological bodies, in particular their edge location potential field has some advantages. we mainly refer to linear features such as fault, folding axis, dyke, trend and border of the ...

Parallelizing Infinite Impulse Response Filters

In this paper, we present a parallel algorithm for edge detection based on Infinite Impulse Response filter (IIR filter). In particular, the Infinite size Symmetric Exponential Filter (ISEF) that is an optimal IIR filter and computationally efficient smoothing filter is studied. The proposed algorithm exploits efficiently all aspects of potential parallelism (spatial parallelism, temporal paral...