Signal Processing Weekly Newsletter

Signal Processing newsletter

Top new questions this week:

Bandwidth expansion by computing missing harmonics in music?

In old recordings or highly compressed audio files (lossy), the higher frequencies are lost, and we hear a distinctive muffling effect. (Just like if the song was played through a wall) Is it ...

audio frequency-spectrum algorithms signal processing  
asked by Bloc97 5 votes
answered by LucasR 1 vote

How is cross-correlation related with orthogonality?

In linear prediction we can say that in case of optimum linear predictor the error with be orthogonal to data. And when we derive minimum mean square error for $\underline{y} = \mathbf{a}\underline{x} ...

cross-correlation statistics linear-prediction  
asked by Tab 3 votes
answered by LJSilver 4 votes

How to do continuous signal processing (i.e without windowing)?

I'm working in speech recognition research, and I wonder if there is a way to analyse sound just like how ears do (i.e. without windowing), so for example to take some feature continuously with an ...

audio continuous-signals window-functions speech-recognition voice  
asked by Mostafa 36a2 3 votes
answered by Peter K. 2 votes

What is difference between LMS and gradient-descent adaptation?

I found algorithms that seems the same to me, but they are described with different names (in field of adaptive filtering). For example: LMS - least-mean-squares seems to be GD - stochastic ...

adaptive-filters adaptive-algorithms least-squares  
asked by matousc 3 votes
answered by Jason R 4 votes

Envelop detection with low sample rate?

I have a signal up to $3\textrm{ MHz}$. The ADC that sample it has a rate of $1.5\mu s$. So a full $T$ of the signal is $0.3\mu s$, and I can only sample each $1.5\mu s$. It sounds not enough, but I ...

discrete-signals sampling continuous-signals moving-average  
asked by Curnelious 3 votes
answered by hotpaw2 4 votes

Geometric explanation of a methodology in the article about Image Denoising

In article Ghimpeteanu G., et al. - A Decomposition Framework for Image Denoising Algorithms, I found as below: Let $\displaystyle I : \Omega \subset \mathbb{R}^2\mapsto \mathbb{R}$ be a ...

image-processing signal linear-algebra  
asked by SAZ 3 votes
answered by Peter K. 0 votes

Difference b/w Spectral Entropy and Flatness Measure

What is the difference between Spectral Entropy and Spectral Flatness? As far as I understand, both the terms can be calculated from the power (or amp) spectrum, and describe the flatness (whiteness) ...

frequency-spectrum  
asked by Ted 3 votes
answered by Peter K. 0 votes

Greatest hits from previous weeks:

Is deep learning killing image processing/computer vision?

I'm looking forward to enroll in a MSc in signal and image processing, or maybe computer vision (I have not decided yet), and this question emerged. My concern is, since deep learning doesn't need ...

image-processing signal-analysis computer-vision deep-learning  
asked by Tony 14 votes
answered by Laurent Duval 19 votes

Difference between SNR and PSNR

I understood that SNR is the ratio of signal power to the noise power. In terms of images, how the original image is affected by the added noise. In PSNR, we take the square of the peak value in the ...

image-processing  
asked by Premnath D 8 votes
answered by Phonon 5 votes

Can you answer these?

Filter output quantization - does this limit effective coefficient quantization?

I am implementing a filter in hardware, and the intended maximum data input is 16-bit. The question is, if the output is to be re-quantized to 16-bit, does this mean certain coefficients are ...

quantization  
asked by John McGrath 1 vote

Problem in constellation diagram

In a waveform designing i am getting this type of constellation(image_attached). Can anyone please tell me why i am getting this type of constellation? this constellation is after frequency ...

qpsk constellation-diagram  
asked by Kshitij goel 1 vote
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