Matched Filtering From Limited Frequency Samples

Double-rotated Matched Filtering

Using the concept of steerable filters, it is possible to represent the rotation of a known template – and thus arbitrary orientations of lines or edges – as a linear combination of a fixed number of base filters, thus allowing a computationally efficient detection of 1D structures. In spite of their usefulness in many image processing areas, such structures exhibit one important drawback: Due ...

On chip-matched filtering and discrete sufficient statistics for asynchronous band-limited CDMA systems

The problem of generating discrete sufficient statistics for signal processing in code-division multiple-access (CDMA) systems is considered in the context of underlying channel bandwidth restrictions. Discretization schemes are identified for (approximately) band-limited CDMA systems, and a notion of approximate sufficiency is introduced. The role of chip-matched filtering in generating accura...

Pitch synchronization via matched filtering

Matched Samples in Medical Investigations.

In investigating the effects of a treatment or experience on a group of patients, it is usually necessary to observe a control group. The comparison between the two groups may be influenced by the characteristics of the subjects: for example, their sex, age, body weight, and original clinical state.. In order to secure comparability for such relevant "extraneous" factors, the controls are frequ...

Frequency Filtering or Wavelet Filtering?

Mel-frequency cepstral coefficients (MFCC) are the most widely used features in current speech recognition systems. However, they have a poor physical interpretation and they do not lie in the frequency domain. Frequency filtering (FF) is a technique that has been recently developed to design frequency-localized speech features that perform similar to MFCC in terms of recognition performances. ...