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Stack Exchange Network

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"River" detection in text

Why is the Fourier transform so important?

What does frequency domain denote in case of images?

Why is it a bad idea to filter by zeroing out FFT bins?

What is the physical significance of negative frequencies?

What is the difference between a Fourier transform and a cosine transform?

Why should I zero-pad a signal before taking the Fourier transform?

What is meant by a system's "impulse response" and "frequency response?"

What are some free alternatives to SIFT/ SURF that can be used in commercial applications?

Why do we use the HSV colour space so often in vision and image processing?

How do I implement cross-correlation to prove two audio files are similar?

Why so many methods of computing PSD?

What is the distinction between ergodic and stationary?

What Is the Relationship Between a Kalman Filter and Polynomial Regression?

Analogous Library to OpenCV for Audio Processing / Analysis

What are some good signal and image processing blogs worth following?

Meaning of Hilbert Transform

What is the difference between convolution and cross-correlation?

What is the difference between phase delay and group delay?

What is the sparse Fourier transform?

What algorithm does Google use for its "Search By Image" site?

Point Pattern Recognition

Why is the FFT "mirrored"?

Simplest way of detecting where audio envelopes start and stop

What Properties Make Certain Wavelets "Better" Than Others In Image Compression?

What are the most common algorithms for adaptive thresholding?

Hilbert transform to compute signal envelope?

Understanding the Matched Filter

What is the most lucid, intuitive explanation for the various FTs - CFT, DFT, DTFT and the Fourier Series?

What are good ways to detect signal clipping in a recording?