Hi folks,
I'm hoping someone would be charitable enough to give me a quick explanation of adb usage for analyzing core files...or point me in the right direction. A search here revealed scant results and web searches are providing me with ambiguous information.
Running Solaris.
Thanks,... (1 Reply)
Hi,
I just wanted to know is there any tool avaliable for core analysis on hp-ux. I have heard about q4 utility. But I think it is used for analysis of system crash dump and not for core dump produced by a user process.
gdb doesn't give much information unless the binary is debug-build.
... (0 Replies)
Hello,
I'm new to the group and this is my first post. I'm hoping someone can help me out. I have a core dump that I need to analyze from a Unix box and I've never done this sort of thing before. I was told to run a pmap and pstack on the core file which provided two different output files. ... (3 Replies)
How can we analyze a core file and determine why it was generated on a solaris system?
I know file core filename will tell us what program generated the file. But, what to do next to get more details?
Thanks, (5 Replies)
We have just enabled core dump on our RHEL5.7 OS. the java process is terminating very often so we enable core dump to analysis the issue and find below in core dump file.
Core was generated by `/usr/java/jdk1.6.0_06//bin/java -server -Xms1536m -Xmx1536m -Xmn576m -XX:+Aggre'.
Program... (0 Replies)
dear all,
i have p770 aix6.1
last week, the host reboot suddenly with dump. but i don't know how to analyze the dump.
I posted kdb details in the attachment.
please anybody help me.
#>kdb vmcore.0 /unix
vmcore.0 mapped from @ 700000000000000 to @ 7000001c72c0908
START ... (13 Replies)
Discussion started by: tomato00
13 Replies
LEARN ABOUT DEBIAN
numm.spectral-analysis
spectral-analysis(7) Numm Tutorials spectral-analysis(7)NAME
spectral analysis - perform realtime spectral analysis
SYNOPSIS
numm-run FILE
DESCRIPTION
Frequency makes for a meaningful description of many audio signals. We can use numpy's fourier analysis to compute spectra from the micro-
phone and display the results visually. We will break down the process into smaller parts: baby steps...
First, create and save a skeletal file that moves a line across the screen:
idx = 0
def video_out(a):
global idx
a[:,idx] = 255
idx = (idx + 1) % a.shape[1]
def audio_in(a):
pass
Save this snippet and run it with numm-run.
We will use the numpy.fft module for our analysis. First we define a function to get a particular frequency from the fourier transform:
import numpy as np
def get_freq(fourier, frequency):
freqs = np.fft.fftfreq(len(fourier), 1/44100.0)
nearest = (abs(freqs - frequency)).argmin()
return abs(fourier[nearest])
Next, we hook up this function to audio input from the microphone. A frequency bin is chosen on a log scale for each row on the screen to
display a spectogram. In total:
import numpy as np
idx = 0
recent_audio = np.zeros(4096, np.int16)
recent_video = np.zeros((240,320,3), np.uint8)
freq_bins = np.exp2(np.linspace(np.log2(27000),np.log2(27),240))
def get_freq(fourier, frequency):
freqs = np.fft.fftfreq(len(fourier), 1/44100.0)
nearest = (abs(freqs - frequency)).argmin()
return abs(fourier[nearest])
def video_out(a):
global idx
fourier=np.fft.fft(recent_audio)
values =np.array([get_freq(fourier,X) for X in freq_bins])
recent_video[:,idx,1] = (values/10000).clip(0,255)
idx = (idx + 1) % a.shape[1]
a[:] = np.roll(recent_video, -idx, axis=1)
def audio_in(a):
recent_audio[:] = np.roll(recent_audio, len(a))
recent_audio[:len(a)] = a.mean(axis=1)
SEE ALSO numm-run(1), numm.getting-started(7), numm.one-bit-instrument(7)numm February 2012 spectral-analysis(7)