sampling

问题 My df: In [163]: df.head() Out[163]: x-axis y-axis z-axis time 2017-07-27 06:23:08 -0.107666 -0.068848 0.963623 2017-07-27 06:23:08 -0.105225 -0.070068 0.963867 ..... I set the index as datetime. Since the sampling rate (10 Hz) is not always constant in the dataframe and for some second I have 8 or 9 samples. I would like to specify the milliseconds on my datatime (06:23:08**.100**, 06:23:08**.200**, etc.) I also would like to do interpolation of the missing samples. Some ideas how to do it

问题 I am currently using Java API to get accelerometer values in 5Hz, which is below my requirements. I want to achieve at least 50Hz. Is there any way to increase the sampling rate of accelerometer? Regards 回答1: I think the maximun sampling rate is diferent between diferent android phones. What i think you can do is setup the sensormanager to update the data as fast as it can, take a look of the constant SENSOR_DELAY_FASTEST from the documentation. regards. 回答2: The param SENSOR_DELAY_FASTEST

问题 Following my previous question titled: "Random sampling from a dataset, while preserving original probability distribution", I want to sample from a set of >2000 numbers, gathered from measurement. I want to perform several tests (I take maximum of 10 samples in each tests), while preserving probability distribution in overall testiong process, and in each test (as much as possible). Now, instead of completely random sampling, I partition data into 5 quantiles, and in 10 tests, I sample 2

问题 Following my previous question titled: "Random sampling from a dataset, while preserving original probability distribution", I want to sample from a set of >2000 numbers, gathered from measurement. I want to perform several tests (I take maximum of 10 samples in each tests), while preserving probability distribution in overall testiong process, and in each test (as much as possible). Now, instead of completely random sampling, I partition data into 5 quantiles, and in 10 tests, I sample 2

问题 I have also asked the query few days before because the clarification was vague so that's why I am uploading a query with updated views.Link is as follows. Updated :Technique used to control Step sizes (Quantization levels) of signals I am explaining example data here because it is not possible for me to mention my original data. I have plotted a histogram curve along with ks density. I have placed bin size =10 and bandwidth of ks Density curve to be 0.08. Actually I want to analyze the

问题 This question already has answers here : Split a vector into chunks in R (20 answers) Closed 6 years ago . Here is the problem: I have a dataset, let's say: a <- c(0,0,0,0,1,1,1,1,1,1) I want to cut it into even pieces (e.g. 5 pieces ). The problem is I cannot use quantiles or cut because some values repeat, so you cannot set distinct breakpoints. > quantile(a) 0% 25% 50% 75% 100% 0 0 1 1 1 (repeated breakpoints) > cut(a, 5) [1] (-0.001,0.199] (-0.001,0.199] (-0.001,0.199] (-0.001,0.199] (0

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 8 years ago . see i have one audio track whose sample rate is 44100 then what does it mean ? what is the duration of one frame of audio? How can i get it in c? Does frame and sample both are different term for audio? 回答1: A sample of audio is similar to a frame of video, it's a capture of the sound level at a particular time

问题 Given an audio file of duration 10s, if I want to seek to 2s, how do I obtain the sample frame offset? 回答1: if it's LPCM (e.g. not compressed), then use the sample rate. in pseudocode: double sampleRate = audioFile.getSampleRate(); size_t offsetInSeconds = 2; size_t sampleToRead = sampleRate * offsetInSeconds * audioFile.getChannelCount(); AudioSample sample = audioFile.getSampleAt(sampleToRead); 来源： https://stackoverflow.com/questions/4896472/obtain-sample-frame-offset-corresponding-to

问题 I have an input data set of 32 points. Now I want to convert these 32 points to 240 points by averaging the data over the points. I thought of plotting the 32 sample points which I have and then by approximately plotting the curve and taking data at a higher sampling frequency so as to obtain 240 points. I am not able to understand how to do this in MATLAB. I took help from some sources, but I was not able to come up with any solution. How can this be done? In short, I want to convert 'x'

问题 If I have a text file of sample amplitudes (0-26522), how can I create a playable audio file from them? I have a vague recollection of tinkering with .pcm files and 8-bit samples way back in the nineties. Is there any software to automatically create an audio file (PCM or other format) from my samples? I found SoX, but I even after looking at the documentation I can't figure out if it can do what I want, and if so how... 回答1: GUI audio workstation called Audacity that lets you do this File ->