#### Filter Results:

- Full text PDF available (4)

#### Publication Year

1997

2013

- This year (0)
- Last 5 years (1)
- Last 10 years (5)

#### Publication Type

#### Co-author

#### Journals and Conferences

Learn More

- Daniel Seidner, Meir Feder
- IEEE Trans. Signal Processing
- 2000

The vector sampling expansion (VSE) is an extension of Papoulis’ generalized sampling expansion (GSE) to the vector case. In VSE, bandlimited signals, all with the same bandwidth , are passed through a multi-input–multi-output (MIMO) linear time invariant system that generates ( ) output signals. The goal is to reconstruct the input signals from the samples… (More)

- Daniel Seidner, Meir Feder
- IEEE Trans. Signal Processing
- 2000

In this correspondence, we discuss periodic nonuniform sampling as described by Yen. Such a sampling scheme is more sensitive to additive white noise than uniform sampling. We give here an explicit formula for the noise amplification of periodic nonuniform sampling compared with uniform sampling.

- Daniel Seidner, Meir Feder
- ICASSP
- 1997

This work extends Papoulis' General Sampling Expansion to the vector case where N band limited signals are passed through a multi-input multi-output (MIMO) LTI system that generates M (M N) output signals. We nd necessary and su cient conditions for reconstructing the N input signals from the samples of the M output signals, all sampled at N=M the Nyquist… (More)

- Daniel Seidner
- IEEE Transactions on Image Processing
- 2005

Changing resolution of images is a common operation. It is also common to use simple, i.e., small, interpolation kernels satisfying some "smoothness" qualities that are determined in the spatial domain. Typical applications use linear interpolation or piecewise cubic interpolation. These are popular since the interpolation kernels are small and the results… (More)

- Daniel Seidner
- 2004 IEEE International Conference on Acoustics…
- 2004

Typical image processing applications use linear interpolation or piecewise cubic interpolation for resampling of images. However, since the frequency domain characteristics of the interpolation filters are not good, two effects usually appear and cause a noticeable degradation in quality of the image. The first is jagged edges and the second is low… (More)

- Daniel Seidner
- 2013 IEEE International Conference on Industrial…
- 2013

Today's FPGAs are capable of performing complex Image Processing schemes. For large images the limiting factor is the size of the line memory required, especially in lower cost FPGAs. In this paper we introduce an FPGA-based architecture for Pipelined Image Processor that utilizes external line memory. We describe the suggested architecture, explain the… (More)

- Daniel Seidner
- SIP
- 2003

ABSTRACT Changing resolution of images is a common operation. It is also common to use simple, i.e., small interpolation kernels satisfying some ”smoothness” qualities that are determined in the spatial domain. Typical applications use linear interpolation or piecewise cubic interpolation. These are popular since the interpolation kernels are small and the… (More)

- Daniel Seidner, Meir Feder
- ICASSP
- 1999

This work presents an analysis of Papoulis’ Generalized Sampling Expansion (GSE) for a wide-sense stationary signal with a known power spectrum in the presence of quantization noise. We find the necessary and sufficient conditions for a GSE system to produce the minimum mean squared error while using the optimal linear estimation filter. This is actually an… (More)

- Daniel Seidner
- 2012 IEEE 27th Convention of Electrical and…
- 2012

Today's FPGAs are capable of performing complex Image Processing schemes. For large images the limiting factor is the line memory required especially in lower cost FPGAs. In this paper we introduce a FPGA based architecture for Pipelined Image Processor that utilizes external line memory. We describe the suggested architecture, explain the reasoning behind… (More)

- Daniel Seidner
- ICASSP
- 2003