Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can b...
In this paper, the design techniques and considerations for each building block required for analog signal processing in HD-DVD PRML read channel are presented and the procedures ...
Aggressive pipelining allows FPGAs to achieve high throughput on many Digital Signal Processing applications. However, cyclic data dependencies in the computation can limit pipeli...
Karl Papadantonakis, Nachiket Kapre, Stephanie Cha...
In this note, improvements to the non-local means
image denoising method introduced in [2], [3] are presented.
The original non-local means method replaces a noisy pixel by
the ...
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...