# Questions tagged [filter]

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### How to calculate number of learnable parameters in CNN? [duplicate]

How to calculate number of learnable parameters in CNN when only kernel size and number of filters are given? Lets say the kernel size is x and number of filters is y. In that case in which way I ...
23 views

1 vote
313 views

### Exponential moving average before computing std

In which cases it would make sense to use exponentially weighted moving average (EWMA) before, for example, computing sample variance or other statistical analysis? Could you give an example when one ...
39 views

### Signal Decomposition

I have two time dependent signal sources X & Y. Both can be modeled as having a linear combination of time dependent individual components and common components; so X(t)=a(t)+C(t)+noise, Y(t)=b(t)+...
1 vote
23 views

### Filter out linearly interpolated historical data points

I am reading in historical sensor data from a plant. I found out that there are intermittent periods where between time t1 and time t2, the data points are linearly interpolated. I came to know, that ...
879 views

### What is the difference between 1x1 convolutions and convolutions with "SAME" padding?

In general, 1x1 convolutions are used to reduce the dimensionality of filter space. I referred this answer. But we can also reduce the dimensionality of filter ...
811 views

### How can we determine the appropriate number of hidden layers, kernels in convolutional neural network (CNN)?

I have checked a lot of questions here and in other websites. What I concluded is that there is no rules for choosing the right number of hyper-parameters in CNN, all what can we do is just trying ...
98 views

### Noise reduction with known noise distribution

I have a time signal with a known noise distribution parameters (gaussian, sd is known). I would like to estimate the true value statistically and in the best case obtain a confidence interval. As I ...
1 vote
38 views

### Time series filtering notation

I am looking at some suggested filters for tidal data but am having trouble understanding the notation. For example, Godin (1972) suggests a low-pass filter for tidal data that is a combination of 24-...
1 vote
229 views

### Is there a filter function that performs similar to moving average but does not loose data?

I need to smooth a time series using a low pass filter. A simple moving average is working fine for me, however, using a moving average causes an inevitable loss of data a the beginning of the ...
1 vote
72 views

### Partial spline. Reference [closed]

I have a well done and perfectly working protocol to smooth my experimental data. I do the following: I have a variable of size 1000. Iteratively I choose random 100 points and spline them using the ...
1 vote
193 views

### Faster RCNN - Pyramid of Filters vs Pyramid of Anchors (Reference Boxes)

I'm reading faster RCNN paper now and trying to understand what is the difference between Pyramid of Filters and Pyramid of Anchors methods from the scale point of view. I mean if I use only one ...
43 views

### Filter rows in r having same categorical value in all columns and also rows with all different categories [closed]

I am attempting to filter rows from following dataset where a,b and c give same answers, and also where a, b and c all give different answers from a category of 3 answers. id A B C X1 X2 ...
5k views

### Wouldn't multiple filters in a convolutional layer learn the same parameter during training?

Based from what I have learned, we use multiple filters in a Conv Layer of a CNN to learn different feature detectors. But since these filters are applied similarly (i.e. slided and multiplied to ...
1 vote
80 views

### Great ways to identify adult content in text

What are some good ways to identify adult content in text. It is definitely a text classification problem, but how do we handle words that are spelt like @.
1 vote
3k views

### Removing gaussian noise from a time-series data

I have a noisy time-series data (Figure 1). As you can see the variance in this data set is very high and the "Gaussian noise" needs to be removed for me to analyze this signal. Normally we ...
81 views

### In prewhitening, should we develop an ARIMA(p,q,d) for X but use only ARI(p,q) as the filter?

According to the answer in this question by IrishStat, the reason that you pre-whiten X is to identify a filter that can transform Y and X into y and x where x is white noise. Assume that X is ...
1 vote
16 views

### checking the quality of filtering of a temporal series

I have many temporal series of satellite data. I decided to smooth that using Savitzky-Golay filter implemented in R using the "signal" package. I could use also other smoothing algorithms, that's ...
22 views

### Appropriate Feature Selection model for Mass Spectrometry data

I have a cancer patients data which consists of more than half million features and my task is to apply feature selection algorithm to extract the most relevant features from it. My question is which ...
1 vote
239 views

### Estimate standard deviation of random-walk using Kalman filter

I created a Kalman filter that takes in time series observations and estimates the mean of that time series. This is simply modeling a random walk. However, I also want to be able to estimate the ...